ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
Filter
  • deep learning  (377)
  • MDPI - Multidisciplinary Digital Publishing Institute  (377)
  • Englisch  (377)
  • Deutsch
Sammlung
Sprache
  • Englisch  (377)
  • Deutsch
Erscheinungszeitraum
  • 1
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-05-06
    Beschreibung: Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.
    Schlagwort(e): composites ; multi-scale ; embedded damage ; non-destructive testing ; photoacoustic ; ultrasonic representation ; terahertz ; coded-aperture imaging ; convolution neural network (CNN) ; fast image reconstruction ; nondestructive evaluation ; acoustic nonlinearity parameter ; indirect method ; laser ultrasound ; fully non-contact ; surface acoustic wave ; UWB-PPM ; UWB-OOK ; buried objects ; nondestructive environment ; Levenberg–Marquardt method ; textured surface anomaly detection ; computer vision ; deep learning ; attention mechanism ; adaptive fusion ; power quality disturbances ; long short term memory ; convolutional neural network ; short time Fourier transform ; leaky Lamb wave ; semi-analytical finite element (SAFE) ; waveguide sensor ; finite-width plate ; waveguide plate ; width modes ; spatial beating ; Rayleigh–Sommerfeld integral (RSI) ; weld cracks ; eddy current nondestructive testing ; gradiently relative magnetic permeability ; heat affected zone ; austenitic stainless steel ; circulating fluidized bed combustion boiler ; water-cooled wall tube ; magnetic sensor array ; magnetic flux density ; flexible ultrasonic probe ; neutron irradiation embrittlement ; reactor pressure vessel ; magnetic nondestructive evaluation ; micromagnetic multiparameter microstructure and stress analysis 3MA ; magnetic adaptive testing ; 3D imaging of metal grains ; non-destructive testing methods ; stacking images ; SA106 carbon steel ; terahertz waves ; refractive index ; thickness measurement ; Shim stock films ; composite materials ; reflection mode ; neutron radiography ; Bragg-edge imaging ; gas tungsten arc welding (GTAW) ; low transformation temperature (LTT) steel ; austenite-to-martensite transformation ; Debye–Waller factor ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-23
    Beschreibung: This Special Issue includes contributions about occupants’ sustainable living in buildings and communities, highlighting issues surrounding the sustainable development of our environments and lives by emphasizing smart and green design perspectives. This Special Issue specifically focuses on research and case studies that develop promising methods for the sustainable development of our environment and identify factors critical to the application of a sustainable paradigm for quality of life from a user-oriented perspective. After a rigorous review of the submissions by experts, fourteen articles concerning sustainable living and development are published in this Special Issue, written by authors sharing their expertise and approaches to the concept and application of sustainability in their fields. The fourteen contributions to this special issue can be categorized into four groups, depending on the issues that they address. All the proposed methods, models, and applications in these studies contribute to the current understanding of the adoption of the sustainability paradigm and are likely to inspire further research addressing the challenges of constructing sustainable buildings and communities resulting in a sustainable life for all of society.
    Schlagwort(e): sustainability ; regionalism ; climate ; unit plan ; apartment ; Singapore ; Korea ; sustainable architecture ; space syntax ; partitioning theory ; total depth ; intelligibility ; movement economies ; architecture ; building performance simulation ; performance-based design ; agent-based model ; Gaussian process ; electroencephalography ; virtual reality ; monument architecture ; stress ; data visualization ; deep learning ; smart building ; interactive experience ; “five senses” interaction ; people-oriented ; embedding ; recommender system ; collaborative filtering ; housing preference ; housing decision ; human behavior simulation ; virtual users ; social sustainability ; performance analysis ; evaluation method ; architectural design education ; eye tracking ; virtual environment ; street robbery ; CPTED ; crime prevention ; fixation count ; people with physical disabilities ; job retention ; path analysis ; perceived workplace safety ; workplace disability facilities ; work satisfaction ; social housing ; social economy actors ; Seoul ; South Korea ; sustainable development ; sustainable design ; energy efficiency ; public rental housing ; building simulation ; elderly ; biophilia ; biophilic experience ; smart home ; smart-home service ; service framework ; water distribution ; water war ; conflict ; ownership ; divided Cyprus ; blue-collar workers ; intervention study ; health promotion ; cardiovascular disease ; n/a ; thema EDItEUR::A The Arts ; thema EDItEUR::A The Arts::AM Architecture
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-06-23
    Beschreibung: The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.
    Schlagwort(e): ANN ; roadside IoT sensors ; simulations of the gridded rainstorms ; 2D inundation simulation and real-time error correction ; weather types and features ; meteorological feature extraction ; artificial neural network ; self-organizing map (SOM) ; urban agriculture ; resource utilization efficiency ; urban northern Taiwan ; machine learning ; random forest ; regression analysis ; support vector machine ; threshold rainfall ; threshold runoff ; XGBoost ; stochastic rainfall generator ; Huff rainfall curve ; copula ; GeoAI ; artificial intelligence ; hydrological ; hydraulic ; fluvial ; water quality ; geomorphic ; modeling ; anomaly detection ; deep reinforcement learning ; telemetry water level ; time series ; ensemble ; multi-model ensemble ; precipitation ; forecasting ; persian gulf ; deep learning ; dam inflow ; RNN ; LSTM ; GRU ; hyperparameter ; rainfall time series ; artificial neural networks ; Multiple Linear Regression ; Chania ; CNN ; ELM ; temporary rivers ; hydrological extremes ; multivariate stochastic model ; autoregressive model ; Markov model ; daily temperature ; temperature generator ; Bayesian neural network ; forecasting uncertainty ; multi-step ahead forecasting ; probabilistic streamflow forecasting ; variational inference ; smart microclimate-control system (SMCS) ; system dynamics ; water–energy–food nexus ; agricultural resilience ; hydroinformatics ; hydrological modeling ; early warning ; uncertainty ; sustainability
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-05-06
    Beschreibung: In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.
    Schlagwort(e): sensory ; physicochemical measurements ; artificial neural networks ; near infra-red spectroscopy ; wine quality ; machine learning modeling ; weather ; consumer acceptance prediction ; data fusion ; emotion recognition ; facial expression recognition ; galvanic skin response ; machine learning ; neural networks ; sensory analysis ; avocado ; cultivars ; preference mapping ; sensory evaluation ; sensory descriptive analysis ; consumer science ; unifloral honeys ; botanical origin ; physicochemical parameters ; classification ; natural language processing ; deep learning ; sensory science ; flavor lexicon ; long short-term memory ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: Photoacoustic (or optoacoustic) imaging, including photoacoustic tomography (PAT) and photoacoustic microscopy (PAM), is an emerging imaging modality with great clinical potential. PAI’s deep tissue penetration and fine spatial resolution also hold great promise for visualizing physiology and pathology at the molecular level. PAI combines optical contrast with ultrasonic resolution, and is capable of imaging at depths of up to 7 cm with a real-time scalable spatial resolution of 10 to 500 µm. PAI has demonstrated applications in brain imaging and cancer imaging, such as breast cancer, prostate cancer, ovarian cancer etc. This Special Issue focuses on the novel technological developments and pre-clinical and clinical biomedical applications of PAI. Topics include but are not limited to: brain imaging; cancer imaging; image reconstruction; quantitative imaging; light source and delivery for PAI; photoacoustic detectors; nanoparticles designed for PAI; photoacoustic molecular imaging; photoacoustic spectroscopy.
    Schlagwort(e): photoacoustic imaging ; tomography ; thermoacoustic ; radio frequency ; image quality assessment ; image formation theory ; image reconstruction techniques ; sparsity ; signal processing ; deconvolution ; empirical mode decomposition ; signal deconvolution ; photoacoustics ; tissue characterization ; absorption ; Photoacoustic Computed Tomography (PACT) ; ring array ; fast imaging ; low cost ; photoacoustic tomography ; full-field detection ; wave equation ; final time inversion ; uniqueness ; stability ; iterative reconstruction ; 3D photoacoustic tomography ; full-view illumination and ultrasound detection ; photoacoustic coplanar ; quartz bowl ; correlation matrix filter ; time reversal operator ; photo-acoustic tomography ; reflection artifacts ; deep learning ; convolutional neural network ; time reversal ; Landweber algorithm ; U-net ; optoacoustic imaging ; respiratory gating ; motion artifacts ; full-ring illumination ; diffused-beam illumination ; point source illumination ; ultrasound tomography (UST) ; photoacoustic tomography (PAT) ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 6
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-09
    Beschreibung: This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective.
    Schlagwort(e): subject-dependent emotion recognition ; subject-independent emotion recognition ; electrodermal activity (EDA) ; deep learning ; convolutional neural networks ; automatic facial emotion recognition ; intensity of emotion recognition ; behavioral biometrical systems ; machine learning ; artificial intelligence ; driving stress ; electrodermal activity ; road traffic ; road types ; Viola-Jones ; facial emotion recognition ; facial expression recognition ; facial detection ; facial landmarks ; infrared thermal imaging ; homography matrix ; socially assistive robot ; EEG ; arousal detection ; valence detection ; data transformation ; normalization ; mental stress detection ; electrocardiogram ; respiration ; in-ear EEG ; emotion classification ; emotion monitoring ; elderly caring ; outpatient caring ; stress detection ; deep neural network ; convolutional neural network ; wearable sensors ; psychophysiology ; sensor data analysis ; time series analysis ; signal analysis ; similarity measures ; correlation statistics ; quantitative analysis ; benchmarking ; boredom ; emotion ; GSR ; classification ; sensor ; face landmark detection ; fully convolutional DenseNets ; skip-connections ; dilated convolutions ; emotion recognition ; physiological sensing ; multimodal sensing ; flight simulation ; activity recognition ; physiological signals ; thoracic electrical bioimpedance ; smart band ; stress recognition ; physiological signal processing ; long short-term memory recurrent neural networks ; information fusion ; pain recognition ; long-term stress ; electroencephalography ; perceived stress scale ; expert evaluation ; affective corpus ; multimodal sensors ; overload ; underload ; interest ; frustration ; cognitive load ; stress research ; affective computing ; human-computer interaction ; deep convolutional neural network ; transfer learning ; auxiliary loss ; weighted loss ; class center ; stress sensing ; smart insoles ; smart shoes ; unobtrusive sensing ; stress ; center of pressure ; regression ; signal processing ; arousal ; aging adults ; musical genres ; emotion elicitation ; dataset ; emotion representation ; feature selection ; feature extraction ; computer science ; virtual reality ; head-mounted display ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 7
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-04-05
    Beschreibung: The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science.
    Schlagwort(e): steganography ; network security ; steganography detection ; steganalysis ; machine learning ; big data ; IoT ; pattern mining ; wireless communications ; covert channel ; dirty constellation ; wireless postmodulation steganography ; phase drift ; drift correction modulation ; undetectability ; security ; quadrature amplitude modulation ; spam ; phishing ; classification ; augmented dataset ; multi-language emails ; cybersecurity ; data protection ; SoC ; threat agents ; motivation ; opportunity ; capability ; user profiling ; implicit ; modeling ; real-time user monitoring ; complexity threat agent ; threat assessment ; network traffic analysis ; convolutional neural networks ; network traffic images ; visualization of traffic ; classifiers ; e-mail ; ham ; data science ; datasets ; cyber threats modeling ; multi-agent systems ; cyber deception ; pseudorandom sequences generators ; prime numbers ; additive Fibonacci generator ; statistical characteristics ; android device ; BrainShield ; hybrid model ; malware detection ; Omnidroid ; image processing ; BOSS database ; ensemble classifier ; deep learning ; stegomalware ; traffic analysis ; network probe ; hash function ; SHA-3 ; FPGA ; cognitive security ; cyberattacks ; game software ; threat matrix computing ; evaluation function ; data modeling ; authentication ; bit template ; information-processing electronic device ; Poisson pulse sequences generators ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 8
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-06-21
    Beschreibung: Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management.
    Schlagwort(e): pig weight ; body size ; estimation ; deep learning ; convolutional neural network ; pig identification ; mask scoring R-CNN ; soft-NMS ; group-housed pigs ; audio ; dairy cow ; mastication ; jaw movement ; forage management ; precision livestock management ; equine behavior ; wearable sensor ; intermodality interaction ; class-balanced focal loss ; absorbing Markov chain ; cow behavior analysis ; prediction of calving time ; cow identification ; EfficientDet ; YOLACT++ ; cascaded model ; instance segmentation ; generative adversarial network ; machine learning ; automated medical image processing ; deep neural network ; animal science ; CT scans ; computer vision ; cow ; extensive livestock ; sensorized wearable device ; monitoring ; parturition prediction ; radar sensors ; radar signal processing ; animal farming ; computational ethology ; signal classification ; wavelet analysis ; dairy welfare ; hierarchical clustering ; mutual information ; precision livestock farming ; time budgets ; unsupervised machine learning ; wearables design ; animal-centered design ; animal telemetry ; modularity ; smart collar ; design contributions ; additive manufacturing ; low-frequency tracking ; commercial aviary ; laying hens ; false registrations ; tree-based classifier ; animal behaviour ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 9
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-28
    Beschreibung: Modern materials and structures are significantly different from conventional ones. Their sizes can be orders of magnitude smaller, and their compositions are so sophisticated that traditional characteristic methods are inapplicable. Non-conventional methods are essential to tackle these issues, which must often be approached in an interdisciplinary fashion. This Special Issue is a collection of articles that shed light on these problems.
    Schlagwort(e): analytical solution ; Fourier cosine series ; vibrations ; FGM rectangular plates ; Mindlin plate theory ; phased array transducer ; transducer optimization ; beam focusing ; pulse–echo mode ; harmonic generation ; stress-free boundary ; total correction ; acoustic emission ; electrical resistance ; damage monitoring ; criticality ; natural time analysis ; nonlinear parameter ; noncontact reception ; air-coupled receiver ; aluminum samples ; corrections ; field theory ; deformation and fracture ; 7075 aluminum alloy ; electronic speckle pattern interferometry ; concrete beam ; bending ; cementitious matrix ; FRCM ; analytical model ; numerical model ; linear low-density polyethylene ; digital image correlation ; optical non-destructive testing ; speckle ; fourier scaling theorem ; gaussian filtering ; optical methods ; AlSi10Mg ; SLM ; NDE ; deep learning ; CNN ; k-fold cross validation ; non-destructive testing ; optical interferometry ; residual stress ; thermal expansion ; elasticity ; high entropy alloys ; complex concentrated alloys ; refractory metal intermetallic composites ; high entropy phases ; complex concentrated phases ; Nb silicide-based alloys ; alloy design ; biomechanics ; Achilles tendon ; beam-to-beam contact ; arbitrary cross-section ; ANCF ; lithium-ion batteries ; redox-active organic anode ; organic anode materials ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 10
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form the basis for the optimal design and control of complex systems. The present reprint contains all the articles accepted and published in the Special Issue of Mathematics entitled "Control, Optimization, and Mathematical Modeling of Complex Systems". This Special Issue is focused on recent theoretical and computational studies of complex systems modeling, control, and optimization. The topics addressed in this Special Issue cover a wide range of areas, including numerical simulation in physical, social, and life sciences; the modeling and analysis of complex systems based on mathematical methods and AI/ML approaches; control problems in robotics; design optimization of complex systems, modeling in economics and social sciences; stochastic models in physics and engineering; mathematical models in material science; and high-performance computing for mathematical modeling. It is our hope that the scientific results presented in this reprint will serve as valuable sources of documentation and inspiration to those seeking to delve into complex systems modeling, control, and optimization and examine their wide-ranging applications.
    Schlagwort(e): optimal control problem ; evolutionary computation ; robotics applications ; optimal control ; Lyapunov stability ; equilibrium point ; symbolic regression ; Pontryagin’s maximum principle ; continuous-time Markov chains ; ergodicity bounds ; discrete state space ; rate of convergence ; logarithmic norm ; interval analysis ; function approximation ; global optimization ; convexity evaluation ; overestimators ; underestimators ; machine learning control ; general synthesis problem ; evolutionary algorithm ; adaptive interpolation algorithm ; interval ordinary differential equations (ODEs) ; sparse grids ; hierarchical basis ; multidimensional interpolation ; high dimensions ; molecular dynamics modeling ; randomized maximum entropy estimation ; probability density functions ; Lagrange multipliers ; Lyapunov-type problems ; implicit function ; rotation of vector field ; asymptotic efficiency ; thermokarst lakes ; forecasting ; dynamical tracking target ; ship towing system ; relative curvature ; adaptive control ; discrete velocity method ; lattice Boltzmann method ; computational fluid dynamics ; mathematical modeling ; estimation ; minimax techniques ; pareto optimization ; regression analysis ; statistical uncertainty ; proton exchange membrane ; proton electrolyte membrane ; PEM ; fuel cell ; PEMFC ; power electronic converter ; DC–DC boost converter ; model predictive control ; MPC ; self-scalable robots ; modular robots ; origami structures ; complex system ; synergistic effect ; performance indicator ; structure change ; soft robotics ; continuum mechanisms ; modeling of complex systems ; kinematic model of soft robots ; mathematical modeling of complex systems ; non-linear models ; soft robotic neck ; tendon-driven actuators ; mathematical modelling ; modelling in economics ; impact of the COVID-19 ; logistics businesses ; fractional-order virus models ; stuxnet virus ; numerical computing ; supervisory control and data acquisition systems ; computer networks ; lyapunov analysis ; image segmentation ; remote sensing ; terrain identification ; data synthesis ; transfer learning ; controllability ; observability ; stochastic linear systems in finite and infinite dimensional spaces ; stochastic singular linear systems in finite and infinite dimensional spaces ; semigroup ; evolution operator ; GE-semigroup ; GE-evolution operator ; stochastic GE-evolution operator ; feature selection ; finite normal mixtures ; moving separation of mixtures ; deep LSTM ; neural network architectures ; deep learning ; turbulent plasma ; air–sea fluxes ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 11
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-28
    Beschreibung: This Urological Cancer 2020 collection contains a set of multidisciplinary contributions to the extraordinary heterogeneity of tumor mechanisms, diagnostic approaches, and therapies of the renal, urinary tract, and prostate cancers, with the intention of offering to interested readers a representative snapshot of the status of urological research.
    Schlagwort(e): renal cell carcinoma ; iron ; macrophages ; chelation therapy ; urothelial carcinoma ; transcriptome ; microtubule ; MAP1B ; prognosis ; KLF5 ; androgen receptor ; cell proliferation ; tumorigenesis ; prostate cancer ; precision medicine ; whole genome sequencing ; optical mapping ; therapy ; prostate carcinoma ; prostate mpMRI ; machine learning ; artificial intelligence ; deep learning ; neural network ; angiogenesis ; angiogenic growth factors ; antiangiogenic therapy ; renal tumors ; prevention ; α1-adrenoceptor antagonists ; anoikis ; vascularity ; research model ; oncogenes ; tumor suppressor genes ; MR-guided ; radiotherapy ; MRgRT ; stereotactic ablative radiotherapy ; stereotactic ablative radiation therapy (SABR) ; renal cell cancer ; RCC ; online adaptive ; [68Ga]Ga-PSMA PET/CT ; dual-time point imaging ; delayed imaging ; biphasic imaging ; lesion positivity rate ; CXCL9 ; PD1 ; PD-L1 ; stage T1 NMIBC ; prostatic neoplasms/mortality ; prostatic neoplasms/epidemiology ; SEER Program ; bladder cancer ; transurethral resection ; en-bloc resection ; CPT1A ; fatty acids ; serine ; androgen response ; ROS ; oxidative stress ; DONSON ; Downstream Neighbor of SON ; biomarker ; metastatic spread ; diagnosis ; differential diagnosis ; histopathology ; immunohistochemistry ; stroma signature ; patient-derived xenografts ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 12
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-09-11
    Beschreibung: Rapid developments have taken place over the recent years in the interventional cardiac electrophysiology. New methods and tools in the diagnosis and treatment of cardiac arrhythmia have emerged. There are many questions which still present a challenge, such as the ablation of refractory ventricular tachycardia, how to improve the long-term success rate of persistent atrial fibrillation, the long-term effectiveness and safety of His–Purkinje conduction system pacing. Accordingly, we dedicate this Special Issue Current Updates on Interventional Cardiac Electrophysiology to gathering the most recent progress in this field. Its aim is to present an overview of the current knowledge, latest evidence, and unresolved issues in this field. More specifically, the topics of interest include but are not limited to: atrial fibrillation; cryoablation; radiofrequency ablation; cardiac resynchronization therapy; His–Purkinje conduction system pacing; stereotactic radiotherapy for refractory ventricular tachycardia; pulsed electric field ablation; leadless pacemakers; and implantable cardioverter-defibrillators.
    Schlagwort(e): atrial fibrillation ; catheter ablation ; left atrial appendage occlusion ; stereotactic body radiotherapy ; refractory ventricular tachycardia ; treatment ; ablation ; elderly patients ; younger patients ; outcomes ; deep learning ; convolution neural network ; paroxysmal supraventricular tachycardia ; electrocardiography ; detection ; syncope ; vasovagal syncope ; ganglionated plexus ; high-frequency stimulation ; atrial fibrillation (AF) ; vein of Marshall (VOM) ; ethanol infusion ; coronary sinus (CS) ; coronary sinus ostium (CSo) ; cardiac implantable electronic device infection ; pocket infection ; antimicrobial therapy ; risk factors ; preventive strategies ; ventricular arrhythmias ; electrocardiogram ; algorithm ; left ventricular outflow tract ; COVID-19 pandemic ; interventional therapy ; percutaneous left atrial appendage occlusion ; pharmacotherapy ; amiodarone ; arrhythmogenic right ventricular cardiomyopathy ; abnormal electrograms ; ventricular tachycardia ; iatrogenic atrial septal defect ; intracardiac echocardiography ; left atrial appendage closure ; right-to-left shunt ; vein of Marshall ; collateral circulation ; slow injection ; paroxysmal atrial fibrillation ; high-power ; short-duration ; radiofrequency ablation ; ablation index ; pulmonary vein reconnection ; non-pulmonary vein triggers ; peri-device leak ; cardiac computed tomography angiography ; leadless single-chamber pacemaker ; complication ; atrioventricular synchrony ; leadless dual-chamber pacemaker ; strategy selection ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 13
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-05-06
    Beschreibung: According to the National Research Council, the use of embedded systems throughout society could well overtake previous milestones in the information revolution. Mechatronics is the synergistic combination of electronic, mechanical engineering, controls, software and systems engineering in the design of processes and products. Mechatronic systems put “intelligence” into physical systems. Embedded sensors/actuators/processors are integral parts of mechatronic systems. The implementation of mechatronic systems is consistently on the rise. However, manufacturers are working hard to reduce the implementation cost of these systems while trying avoid compromising product quality. One way of addressing these conflicting objectives is through new automatic control methods, virtual sensing/estimation, and new innovative hardware topologies.
    Schlagwort(e): independent-wheel drive ; steering assistance ; nonlinear system ; active disturbance rejection control ; smooth road feeling ; city bus transport ; electric vehicles ; electrification ; software tool ; planning ; control ; charging management ; simulation ; analysis ; energy management ; hybrid electric vehicle ; powertrain electrification ; equivalent consumption minimization ; supercharging ; hardware-in-the-loop experiments ; driving force distribution ; decentralized traction system ; 4WD electric vehicle ; energy efficiency ; traction control ; efficiency optimization ; air mobility ; fuel cell hybrid aircraft ; stochastic optimal control ; drift counteraction optimal control ; normal force estimation ; unbiased minimum variance estimation ; controller output observer ; youla parameterization ; adaptive cruise control ; automated driving ; energy-saving ; fuel-saving ; optimal control ; passenger comfort ; new energy vehicles ; speed prediction ; macroscopic traffic model ; traffic big-data ; deep learning ; vehicle lateral dynamic and control ; unresolved issues ; application of speed prediction ; electric vehicle ; hybrid vehicle ; lithium ion ; ultracapacitor ; battery aging ; EHB ; EMB ; EWB ; system modeling ; bond graph ; optimization ; control design ; Youla parameterization ; robust control ; nonlinear optimization ; brake-by-wire ; actuator ; electro-mechanical brake ; electronic wedge brake ; electro-hydraulic brake ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 14
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-04-05
    Beschreibung: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Schlagwort(e): tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 15
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-05-06
    Beschreibung: This Special Issue of Entropy, titled “Recent Advances in Single-Particle Tracking: Experiment and Analysis”, contains a collection of 13 papers concerning different aspects of single-particle tracking, a popular experimental technique that has deeply penetrated molecular biology and statistical and chemical physics. Presenting original research, yet written in an accessible style, this collection will be useful for both newcomers to the field and more experienced researchers looking for some reference. Several papers are written by authorities in the field, and the topics cover aspects of experimental setups, analytical methods of tracking data analysis, a machine learning approach to data and, finally, some more general issues related to diffusion.
    Schlagwort(e): diauxic growth ; replicator equation ; mesoscopic model ; integro-differential equations ; anomalous diffusion ; statistical analysis ; single-particle tracking ; trajectory classification ; fractional Brownian motion ; estimation ; autocovariance function ; neural network ; Monte Carlo simulations ; multifractional Brownian motion ; power of the statistical test ; machine learning classification ; feature engineering ; confinement ; information theory ; Brownian particle ; stochastic thermodynamics ; CTRW ; diffusing-diffusivity ; occupation time statistics ; wound healing dynamics ; single pseudo-particle tracking ; phase contrast image segmentation ; 3D single-particle tracking ; Fisher information ; non-uniform illumination ; SPT ; deep learning ; residual neural networks ; random walk ; heterogeneous ; endosomes ; single particle trajectory ; stochastic processes ; trapping ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 16
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-09
    Beschreibung: This reprint focusses on Smartness, a multidisciplinary topic, which is examined from four perspectives: Sensors, IoT, and Data Generation; Data and Information Processing; Actuation; and Digital Systems and Infrastructure. We see smartness in the way sensing is embedded in a system, the way data and information are processed, how a system interacts internally and with its environment, and whether a system is ubiquitous or limited by space (cloud-based or edge-enabled). This reprint contains a total of 14 chapters, which are grouped according to their areas of application: mobility and transportation, healthcare, industrial environments, and other urban infrastructures. This book covers a range of topics, including mobility; healthcare; image analysis; permeable pavements; solid-waste management; sensor node and gateway architectures; cloud, fog, and edge computing; air-quality monitoring; thermal anomalies and smart helmets in industrial environments; smart airports; smart districts; smart travel choices; sensor cities; artificially intelligent cities; platform urbanism; and more.
    Schlagwort(e): artificial intelligence (AI) ; artificially intelligent city ; artificially intelligence commons ; smart city ; smart urban technology ; urban informatics ; sustainable urban development ; climate change ; pandemics ; natural disasters ; sensor city ; City 4.0 ; smart urbanism ; smart governance ; disruptive urban transition ; Internet-of-Things (IoT) ; technology giants ; sensors ; transit ; bus ; transfer ; smart card ; spatial analysis ; mode choice ; internet of everything (IoE) ; 6th generation (6G) networks ; artificial intelligence ; Distributed AI as a Service (DAIaaS) ; fog computing ; edge computing ; cloud computing ; smart airport ; smart districts ; PPE ; OHS ; risk detection ; naive Bayes ; support vector machine ; convolutional neural network ; deep learning ; microcontroller ; edge-fog-cloud computing ; Internet of Things ; robotics ; autonomous driving ; image registration ; smart sensor ; real time big data ; land-use ; air quality ; particulate matter (PM10 PM2.5) ; Intelligent Transportation Systems ; functional requirements ; machine learning ; model actionability ; model evaluation ; cloud server ; customized sensor node ; customized gateway ; FLoRa simulation ; LoRa range radio ; solid waste management ; smart cities ; big data ; event detection ; road traffic ; distributed machine learning ; automatic labeling ; social media ; data analytics ; social media analytics ; Arabic tweets ; 3D microstructure reconstruction ; permeable pavement ; generative adversarial networks ; tiny AI ; tiny ML ; distributed AI as a service (DAIaaS) ; skin disease diagnosis ; healthcare ; smart societies ; smart healthcare ; reference architecture ; TensorFlow ; visually impaired ; smart mobility ; LiDAR ; ultrasonic ; obstacle detection ; obstacle recognition ; assistive tools ; green computing ; sustainability ; Arduino Uno ; smart app ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 17
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-27
    Beschreibung: Coastal regions are susceptible to rapid changes, as they constitute the boundary between the land and the sea. The resilience of a particular segment of coast depends on many factors, including climate change, sea-level changes, natural and technological hazards, extraction of natural resources, population growth, and tourism. Recent research highlights the strong capabilities for remote sensing applications to monitor, inventory, and analyze the coastal environment. This book contains 12 high-quality and innovative scientific papers that explore, evaluate, and implement the use of remote sensing sensors within both natural and built coastal environments.
    Schlagwort(e): big data applications ; data processing ; data visualization ; neural networks ; reduction ; coastal waters ; urban expansion ; remote sensing and GIS ; expansion types and rates ; major explanatory factors ; Miami metropolitan area ; cliff coastlines ; cliff retreat ; time-series analysis ; airborne laser scanner ; warm upwelling ; sea surface temperature ; numerical modelling ; winter ; southern Baltic Sea ; beach monitoring ; mobile terrestrial LiDAR ; intensity calibration ; beach surface moisture ; Baltic coast ; Poland ; CORINE Land Cover ; land cover flow ; urbanisation ; afforestation ; deforestation ; spatial analysis ; SDGs ; coastal habitats ; ecosystem monitoring ; land cover mapping ; random forest algorithm ; Sentinel-2 ; modified soil-adjusted vegetation index 2–MSAVI2 ; normalized difference water index 2–NDWI2 ; brightness index 2–BI2 ; oil spill ; remote sensing ; review ; machine learning ; deep learning ; trajectory modeling ; vulnerability assessment ; coastal geomorphology ; shoreline change ; coastal process ; monitoring ; geomatic techniques ; Po River Delta ; archival multi-temporal data ; coastline changes ; emerged/submerged surfaces ; land subsidence ; relative sea level rise 2100 ; land cover ; dune coast ; air photograph ; South Baltic Sea ; coastal monitoring ; estuaries ; IoT ; lidar ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 18
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-01-08
    Beschreibung: Agricultural production management is facing a new era of intelligence and automation. With developments in sensor technologies, the temporal, spectral, and spatial resolution from ground/air/space platforms have been notably improved. Optical sensors play an essential role in agriculture production management. Specifically, monitoring plant health, growth conditions, and insect infestation has traditionally involved extensive fieldwork. We believe that sensors, artificial intelligence, and machine learning are not simply scientific experiments but opportunities to make our agricultural production management more efficient and cost-effective, further contributing to the healthy development of natural–human systems. This reprint compiles the latest research on optical sensors and machine learning in agricultural monitoring, including related topics: Machine learning approaches for crop health, growth, and yield monitoring; Combined multisource/multi-sensor data to improve the crop parameters mapping; Crop-related growth models, artificial intelligence models, algorithms, and precision management; Farmland environmental monitoring and management; Ground, air, and space platforms application in precision agriculture; Development and application of field robotics; High-throughput field information survey; Phenological monitoring.
    Schlagwort(e): soil moisture content ; spectral processing technology ; hyperspectral ; principal component analysis ; feature parameters extraction ; yield estimation ; rice ; unmanned aerial vehicle (UAV) ; tasseled cap transformation ; precision agriculture ; weed identification ; YOLOv4-Tiny ; attention mechanism ; multiscale detection ; angle normalization ; vegetation canopy reflectance ; geostationary satellite ; path length correction ; Minnaert model ; GOCI ; winter wheat ; LSTM ; LAI ; deep learning ; land use ; land cover ; classification ; random forest ; Sentinel data ; SRTM ; feature selection ; accuracy ; validation ; unmanned aerial vehicle ; soybean ; convolutional neural network ; multispectral imagery ; fusarium head blight ; texture indices ; machine learning ; cropland ; multi-seasonal ; fractal feature ; feature extraction ; accuracy evaluation ; black soil ; UAV ; chlorophyll ; fractional vegetation cover ; maturity monitoring ; anomaly detection ; smart agriculture ; detection of apple leaf diseases ; YOLOv5 ; transformer ; CBAM ; crop type classification ; multi-temporal ; remote sensing ; dairy cows ; body condition score ; 3D TOF sensor ; non-contact evaluation ; recognize area of interest ; sugarcane clones ; canopy cover ; light interception ; biomass ; cane yield ; peanut southern blight ; reflection spectrum ; spectral index ; continuous wavelet transform ; VGNet ; corn diseases ; leaf detection ; lightweight ; transfer learning ; agriculture ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 19
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-02-02
    Beschreibung: This reprint contains several articles where the molecular mechanisms and structural changes in target proteins on interaction with various viruses and bacteria were studied. In addition, drug-protein interactions, drug–drug interaction mechanisms, anti-Glycating, antioxidant, binding affinity, network pharmacology-driven investigations, and targeted anticancer treatments were also investigated.
    Schlagwort(e): RSV ; ectodomain G protein ; heparan sulfate ; protein–ligand interaction ; fluorescence quenching ; molecular docking ; molecular dynamic simulation ; quercetin ; CCL4 ; neurotoxicity ; VirtualToxLab ; oxidative stress markers ; Huperzine A ; molecular dynamics simulation ; fluorescence spectroscopy ; human serum albumin ; neurodegenerative disorders ; drug–protein interactions ; erlotinib ; bovine serum albumin ; binding interaction ; competition ; hepatitis E virus ; methyltransferase ; protein stability ; enzyme assay ; garlic ; antioxidant ; anti-glycation ; glycation ; AGEs ; HSA ; quetiapine ; hydrophobic interaction ; thermodynamic parameters ; seproxetine ; antidepressant ; charge transfer ; π-acceptors ; DFT ; haloperidol ; antipsychotics ; keratoconus ; MMP-2 ; MMP-9 ; molecular dynamics ; MM-GBSA calculations ; pharmacophore mapping ; α-amylase ; advanced glycation end-products ; caffeic acid ; coumaric acid ; coronary artery disease ; phytotherapy ; network pharmacology ; angiogenesis ; zebrafish ; dynamics molecular docking ; NEK7 ; virtual screening ; DFTs ; deep learning ; drug design ; drug repurposing ; structural-based ; cancer ; A. aspera ; β-amyrin ; C. gigantea ; C. procera ; GC-MS ; Minimum inhibitory concentration (MIC) ; Molecular docking ; MD simulations ; Tuberculosis (TB) ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 20
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-04-05
    Beschreibung: This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts. This reprint emerging from the Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques” can be viewed as a result of the crucial need for document management systems. Such technologies are being applied in various fields or different domains and parts of the world to address relevant challenges that could not be addressed without the advances made in these technologies. The reprint includes impactful chapters that present scientific concepts, frameworks, architectures and innovative ideas on sensing technologies and machine-learning techniques to overcome a series of key challenges related to document imaging/scanning, text detection, text recognition, and documents clustering.
    Schlagwort(e): feature learning ; incomplete multimedia data ; fuzzy c-means ; variational autoencoder ; multispectral imaging ; document scanning ; portable sensor ; depth image filtering ; point clouds filtering ; Kinect v2 ; depth resolution ; close range ; hand pose ; image binarization ; optical character recognition ; document images ; local thresholding ; image pre-processing ; natural images ; scene text recognition ; visual sensor ; text position correction ; encoder-decoder network ; chart recognition ; deep learning ; visualization ; classification ; detection ; perspective correction ; house architecture type classification ; house type classification ; convolutional neural networks ; document classification ; feature selection ; data augmentation ; imbalanced dataset ; scene text detection ; multiple scales ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 21
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-03-07
    Beschreibung: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Schlagwort(e): speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 22
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-05-06
    Beschreibung: Myxobacteria are fascinating and important prokaryotes. They have large genomes and exhibit a wide range of interesting behaviors, including multicellular fruiting body formation, social interaction, predation, and secondary metabolite production. Substantial progress is being made in understanding their ecological roles and the evolutionary forces that have shaped their phenotypes and behaviors. Novel species of myxobacteria are regularly described, often producing unusual metabolites and enzymes which can be of significant biotechnological interest. Molecular studies, ranging in subject from individual enzymes to entire ‘omes, continue to provide rich insights into myxobacterial biology. This collected volume brings together five research articles and three reviews, to provide a snapshot of current myxobacterial research in all its diversity.
    Schlagwort(e): carotenoids ; comparative genomics ; development ; fruiting body formation ; one-component systems ; quorum signalling ; two-component systems ; myxobacteria ; Myxococcales ; germination ; bacterial cell wall ; sporulation ; morphology ; photoreceptor ; photosensitizer ; photoregulation ; singlet oxygen ; plasmalogens ; CarF ; vitamin B12 ; CarH ; ECF-sigma ; CarD-CdnL ; microbial food web ; trophic interactions ; predator–prey interactions ; mesopredator ; social bacteria ; nematodes ; experimental community ; behavior ; Myxococcus sp. ; Corallococcus sp. ; Melittangium sp. ; Archangium sp. ; biosynthetic gene clusters ; Myxococcus xanthus ; phase contrast microscopy ; fluorescence microscopy ; aggregation ; rippling ; deep learning ; generative adversarial network ; pretator-prey coevolution ; antagonism ; mucoidy ; predatory bacteria ; bacterial predation ; prey diversity ; negative frequency dependence ; experimental evolution ; MyxoEE-6 ; functional genomics ; genome evolution ; genome organisation ; pan-genome ; proteomics ; taxonomy ; transcriptomics ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSG Microbiology (non-medical)
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 23
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: After almost two decades of continuous development in bio, circular, and green economy, the time is ripe for the assessment of the major achievements and challenges that private and public enterprises face today to further enhance these global sustainability concepts. Due to the central role of political incentives for the development and implementation of environmentally friendly and sustainable practices, the present book project focuses on the nexus between public policies, institutions, quality of public sector management, and patterns of interaction between government and private businesses in backing bio, green, and circular economy practices and eco-innovation. In addition, the project also accommodates surveys that elaborate on the differences between the implementation of new organizational forms and scientific innovations in technologically advanced and developing settings.
    Schlagwort(e): energy demand ; renewable energy ; biomass ; energy policies ; organizational factors ; healthcare waste management practices ; public hospitals ; Libya ; consumers ; cluster analysis ; sustainable consumption ; mass media ; social media ; green hydrogen ; green hydrogen value chain ; developing countries ; renewable energy sources ; hydrogen strategy ; scaling ; upscaling ; scaling innovation ; innovation diffusion ; innovation ; systematic literature review ; garbage sorting ; urban garbage disposal ; rural garbage disposal ; willingness ; family life ; neighbourhood ; COVID-19 ; Pakistan economy ; economic scale ; Keynesian theory ; mitigation ; economic revival measures ; innovations ; renewable power ; rebound effect ; low-carbon economy ; carbon pricing policy ; border carbon tax ; Sino–US trade friction ; export grab effect ; firm innovation ; GDP prediction ; feature selection ; deep learning ; temporal convolutional network ; organizational sustainability ; social and economic sustainability ; knowledge sharing ; organizational agility ; organizational behavior ; sustainable organizations ; economic sustainability ; consumer experience ; sustainable commerce ; online consumer behaviour ; e-commerce platform ; online purchase intention ; online customer engagement ; energy security ; energy policy ; energy resources ; sustainability ; bibliometrics ; circular business model ; open business model ; sharing economy ; circular economy ; peer-to-peer ; electricity trading ; green product ; green consumer behavior ; environmental responsibility ; environmental concern ; green purchasing decisions ; green business ; consumption dimension ; production dimension ; financial dimension ; technological dimension ; fundraising campaigns ; social networking sites ; NPO ; humanitarian response ; Kuwait ; Bahrain ; Guatemala ; forest ; property rights ; community concession ; entrepreneurship ; forest sustainability ; economic development ; free-market environmentalism ; Latin America ; consumption coupons ; purchase probability ; inventory optimization ; minimum-cost maximum-flow ; bioeconomy ; green growth ; eco-innovation ; environmental Kuznets curve ; EKC ; environmental economics and policy ; ecological economics ; resource management ; sustainable development ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 24
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-28
    Beschreibung: The need for energy is increasing and at the same time production from the conventional reservoirs is declining quickly. This requires an economically and technically feasible source of energy for the coming years. Among some alternative future energy solutions the most approachable source is from unconventional reservoirs. As the name “unconventional” implies it requires different and challenging approach to characterize and to develop such a resource. This special issue covers some of the technical challenges for developing unconventional energy sources from shale gas/oil, tight gas sand, and coalbed methane.
    Schlagwort(e): bedding fractures ; failure criterion ; lamina ; tight oil ; tight sandstone ; finite element simulation ; numerical simulation ; unconventional reservoir ; permeability ; group method of data handling ; artificial neural network ; well logs ; sensitivity analysis ; tight gas reservoir ; multi-fractured horizontal well (MFHW) ; unstable productivity model ; productivity forecast ; influencing factor analysis ; horizontal well with multiple finite-conductivity fractures ; elliptical-shaped drainage ; productivity index ; non-Darcy flow ; pressure-dependent conductivity ; reservoir properties ; void space structure ; porosity ; complex rocks ; NMR ; MICP ; CT ; SEM ; coal-bearing tight sandstone ; organic-rich clasts ; occurrence ; classifications ; formation mechanisms ; Ordos Basin ; hydraulic fracturing ; fracturing fluids ; fluids-rock interaction ; environmental implication ; history matching ; semianalytic model ; unconventional gas reservoirs ; multistage fractured horizontal wells ; fractal theory ; pore structure ; heterogeneity ; NMR measurements ; multifractal analysis ; shale reservoir ; elastic properties ; brittleness ; rock physics ; brittle spot identification ; shale gas ; reservoir characteristics ; gas content ; eastern Sichuan Basin ; the Da’anzhai member ; pulse decay method ; gas adsorption ; dual media ; unconventional core ; natural fracture ; influencing factor ; oil production ; carbonate rock ; basement reservoir ; Jizhong Sub-basin ; dynamic pore network modeling ; shale reservoirs ; water imbibition ; discrete element method ; modified fluid-mechanical coupling algorithm ; injection sequence ; well spacing ; stress shadow effect ; seismic location ; microseismic events ; waveform stacking ; induced seismicity ; CBM ; surfactant ; solid-free drilling fluid ; CBM reservoir wettability ; machine learning ; lithofacies ; umiat ; Alaska ; proppant transportation ; cross fractures ; CFD simulation ; dimensional analysis ; equilibrium proppant height ; coalbed methane ; Lattice Boltzmann method ; gas diffusion ; adsorption–desorption ; pore-scale ; clay minerals ; pore structures ; tight gas reservoirs ; Xujiaweizi Rift ; Northern Songliao Basin ; methane adsorption isotherm ; coal properties ; gradient boosting decision tree ; estimation model ; shale gas reservoir ; geology ; Gibbs excess adsorption ; supercritical adsorption ; gas viscosity ; high voltage spark discharge ; electrohydraulic effect ; electrical conductivity ; drilling ; rock damage ; pressure waves ; water fracturing ; turbulence effect ; Eulerian multiphase modeling ; proppant transport mechanism ; equilibrium height prediction model ; adaptive filtering ; complex noise canceling ; electromagnetic telemetry ; multifractured horizontal wells ; production analysis ; irregular stimulated region ; natural gas hydrate ; seismic modeling ; fractional derivatives ; gas geochemical characteristics ; noble gas ; shale gas evolution ; Large Igneous Province (LIP) ; gas loss ; geological structure ; gas controlling pattern ; neutral surface ; tectonic movement ; Bumu region ; seismic interpretation ; depositional environments characteristics ; Wheeler diagram ; seismic attributes ; heterogeneous sequence ; sample size ; neutron scattering ; mercury injection capillary pressure ; adsorption ; shale ; junggar basin ; hong-che fault zone ; carboniferous ; volcanic reservoir ; main controlling factors of hydrocarbon accumulation ; fracture ; vug ; micro CT ; carbonate ; wave velocity ; amorphous SiO2 ; X-ray diffraction ; X-ray fluorescence spectrometry ; scanning electron microscope ; quantitative analysis ; void ratio ; FEM ; ABAQUS ; matrix porosity ; kerogen porosity ; water saturation ; gas hydrate ; saturation ; deep learning ; recurrent neural network ; molecular simulation ; enhanced oil recovery ; methane ; shale petroleum ; technological development ; patent ; network analysis ; imbibition ; osmosis ; unconventional formations ; EOR ; water flooding ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 25
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-02-01
    Beschreibung: The concept of remote sensing as a way of capturing information from an object without making contact with it has, until recently, been exclusively focused on the use of Earth observation satellites.The emergence of unmanned aerial vehicles (UAV) with Global Navigation Satellite System (GNSS) controlled navigation and sensor-carrying capabilities has increased the number of publications related to new remote sensing from much closer distances. Previous knowledge about the behavior of the Earth's surface under the incidence different wavelengths of energy has been successfully applied to a large amount of data recorded from UAVs, thereby increasing the special and temporal resolution of the products obtained.More specifically, the ability of UAVs to be positioned in the air at pre-programmed coordinate points; to track flight paths; and in any case, to record the coordinates of the sensor position at the time of the shot and at the pitch, yaw, and roll angles have opened an interesting field of applications for low-altitude aerial photogrammetry, known as UAV photogrammetry. In addition, photogrammetric data processing has been improved thanks to the combination of new algorithms, e.g., structure from motion (SfM), which solves the collinearity equations without the need for any control point, producing a cloud of points referenced to an arbitrary coordinate system and a full camera calibration, and the multi-view stereopsis (MVS) algorithm, which applies an expanding procedure of sparse set of matched keypoints in order to obtain a dense point cloud. The set of technical advances described above allows for geometric modeling of terrain surfaces with high accuracy, minimizing the need for topographic campaigns for georeferencing of such products.This Special Issue aims to compile some applications realized thanks to the synergies established between new remote sensing from close distances and UAV photogrammetry.
    Schlagwort(e): unmanned aerial vehicle ; urban LULC ; GEOBIA ; multiscale classification ; unmanned aircraft system (UAS) ; deep learning ; super-resolution (SR) ; convolutional neural network (CNN) ; generative adversarial network (GAN) ; structure-from-motion ; photogrammetry ; remote sensing ; UAV ; 3D-model ; surveying ; vertical wall ; snow ; remotely piloted aircraft systems ; structure from motion ; lidar ; forests ; orthophotography ; construction planning ; sustainable construction ; urbanism ; BIM ; building maintenance ; unmanned aerial vehicle (UAV) ; structure-from-motion (SfM) ; ground control points (GCP) ; accuracy assessment ; point clouds ; corridor mapping ; UAV photogrammetry ; terrain modeling ; vegetation removal ; unmanned aerial vehicles ; power lines ; image-based reconstruction ; 3D reconstruction ; unmanned aerial systems ; time series ; accuracy ; reproducibility ; orthomosaic ; validation ; drone ; GNSS RTK ; precision ; elevation ; multispectral imaging ; vegetation indices ; nutritional analysis ; correlation ; optimal harvest time ; UAV images ; monoscopic mapping ; stereoscopic plotting ; image overlap ; optimal image selection ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 26
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.
    Schlagwort(e): TA1-2040 ; T1-995 ; optical sensor ; spectral analysis ; response surface sampling ; sensor evaluation ; electromagnetic induction ; multivariate water quality parameters ; mandarin orange ; crop inspection platform ; SPA-MLR ; object tracking ; feature selection ; simultaneous measurement ; diseases ; genetic algorithms ; processing of sensed data ; electrochemical sensors ; thermal image ; ECa-directed soil sampling ; handheld ; recognition patterns ; salt concentration ; clover-grass ; bovine embedded hardware ; weed control ; soil ; field crops ; vineyard ; connected dominating set ; water depth sensors ; SS-OCT ; wheat ; striped stem-borer ; silage ; geostatistics ; detection ; NIR hyperspectral imaging ; electronic nose ; machine learning ; virtual organizations of agents ; packing density ; data validation and calibration ; dataset ; Wi-SUN ; temperature sensors ; geoinformatics ; gas sensor ; X-ray fluorescence spectroscopy ; vegetable oil ; photograph-grid method ; Vitis vinifera ; WSN distribution algorithms ; laser-induced breakdown spectroscopy ; irrigation ; quality assessment ; energy efficiency ; wireless sensor network (WSN) ; geo-information ; Fusarium ; texture features ; weeds ; discrimination ; big data ; soil moisture sensors ; meat spoilage ; land cover ; stereo imaging ; near infrared sensors ; biological sensing ; compound sensor ; pest management ; moisture ; plant localization ; heavy metal contamination ; artificial neural networks ; spectral pre-processing ; moisture content ; apparent soil electrical conductivity ; data fusion ; semi-arid regions ; smart irrigation ; back propagation model ; wireless sensor network ; energy balance ; light-beam ; fluorescent measurement ; agriculture ; precision agriculture ; deep learning ; spectroscopy ; hulled barely ; dielectric probe ; RPAS ; water supply network ; rice leaves ; mobile app ; gradient boosted machines ; hyperspectral camera ; one-class ; nitrogen ; LiDAR ; total carbon ; chemometrics analysis ; rice ; agricultural land ; on-line vis-NIR measurement ; CARS ; obstacle detection ; stratification ; neural networks ; regression estimator ; Kinect ; proximity sensing ; distributed systems ; pest ; noninvasive detection ; texture feature ; soil mapping ; classification ; soil salinity ; visible and near-infrared reflectance spectroscopy ; germination ; computer vision ; hyperspectral imaging ; diffusion ; dielectric dispersion ; UAS ; random forests ; case studies ; total nitrogen ; thermal imaging ; cameras ; dry matter composition ; near-infrared ; salt tolerance ; deep convolutional neural networks ; soil type classification ; water management ; preprocessing methods ; wireless sensor networks (WSN) ; remote sensing image classification ; precision plant protection ; radar ; spatial variability ; GF-1 satellite ; plant disease ; naked barley ; leaf area index ; CIE-Lab ; change of support ; radiative transfer model ; 3D reconstruction ; plant phenotyping ; vine ; near infrared ; vegetation indices ; remote sensing ; greenhouse ; time-series data ; scattering ; sensor ; crop area ; speckle ; spatial data ; grapevine breeding ; wide field view ; partial least squares-discriminant analysis ; spiking ; area frame sampling ; chromium content ; machine-learning ; RGB-D sensor ; pest scouting ; PLS ; Capsicum annuum ; spatial-temporal model ; drying temperature ; boron tolerance ; ambient intelligence ; laser wavelength ; fuzzy logic ; dynamic weight ; landslide ; management zones ; real-time processing ; event detection ; crop monitoring ; apple shelf-life ; rice field monitoring ; wireless sensor ; birth sensor ; proximal sensor ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 27
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-04-05
    Beschreibung: The use of telemedicine and mobile devices is growing, and sensors might aid in creating creative solutions. Developing these solutions is crucial for monitoring senior citizens, lifestyles, and medical procedures. This Special Issue’s goal was to bring together academics and professionals in healthcare and medicine interested in using information and communication technologies (ICT) to serve people with special needs. The development of assistive technology for various users to follow sports and other activities is strongly tied to this study area. Data protection is crucial, and the development of these solutions for medical uses should be verified. The security and privacy of the information may be tied to other recognized research projects for their acceptability. ICT research has considerably improved quality of life and has fully assimilated all citizens into society through medical rehabilitation and assistive technology. The technologies and research fields that influence medical informatics include databases, networking, graphical user interfaces, data mining, machine learning, intelligent decision support systems, and specialized programming languages. Because mobile devices are commonly used for several everyday chores and are equipped with sensors that monitor various physical and physiological indicators, it is crucial to encourage the development of m-Health and e-Health solutions for healthcare practitioners. In this area, several solutions are now being developed. In addition, they can collaborate with emerging technologies for social assistance while enhancing life quality.
    Schlagwort(e): data privacy ; taxonomy ; IoT ; COVID-19 ; mobile application ; accelerometer sensor ; stand-up time ; total time ; aging ; linear-map convolutional neural network ; direct acyclic graph ; action recognition ; spatial feature ; temporal feature ; frailty ; home monitoring ; user-centered design ; usability ; user experience ; acceptance ; activity recognition ; Internet of Things ; smart house ; deep learning ; channel state information ; glaucoma screening ; retinal images ; segmentation ; classification ; precision nutrition ; food plans ; machine learning ; food logging ; Eight Hop Test ; systematic review ; measurement ; sensors ; diseases ; wrist-wearable device ; PPG processing ; physiological parameters ; web-based applications ; data analysis ; elderly monitoring ; successful aging ; gerontechnology ; AAL ; healthcare ; prevalidation ; deployment ; chronic heart failure ; large-scale pilot ; H2020 ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 28
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-27
    Beschreibung: Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.
    Schlagwort(e): Direct Normal Irradiance (DNI) ; IFS/ECMWF ; forecast ; evaluation ; DNI attenuation Index (DAI) ; bias correction ; nowcast ; meteorological radar data ; optical flow ; deep learning ; Bates–Granger weights ; uniform weights ; (REG) ARIMA ; ETS ; Hodrick–Prescott trend ; Google Trends indices ; Himalayan region ; streamflow forecast verification ; persistence ; snow-fed rivers ; intermittent rivers ; costumer relation management ; business to business sales prediction ; machine learning ; predictive modeling ; microsoft azure machine-learning service ; travel time forecasting ; time series ; bus service ; transit systems ; sustainable urban mobility plan ; bus travel time ; learning curve ; forecasting ; production cost ; cost estimating ; semi-empirical model ; logistic map ; COVID-19 ; SARS-CoV-2 ; PV output power estimation ; PV-load decoupling ; behind-the-meter PV ; baseline prediction ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 29
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.
    Schlagwort(e): SVM ; budding rate ; UAV ; geometric consistency ; radiometric consistency ; point clouds ; ICP ; reflectance maps ; vegetation indices ; Parrot Sequoia ; artificial intelligence ; precision agriculture ; agricultural robot ; optimization algorithm ; online operation ; segmentation ; coffee leaf rust ; machine learning ; deep learning ; remote sensing ; Fourth Industrial Revolution ; Agriculture 4.0 ; failure strain ; sandstone ; digital image correlation ; Hill–Tsai failure criterion ; finite element method ; reference evapotranspiration ; moisture sensors ; machine learning regression ; frequency-domain reflectometry ; randomizable filtered classifier ; convolutional neural network ; U-Net ; land use ; banana plantation ; Panama TR4 ; aerial photography ; remote images ; systematic mapping study ; agriculture ; applications ; total leaf area ; mixed pixels ; Cabernet Sauvignon ; NDVI ; Normalized Difference Vegetation Index ; precision viticulture ; 3D model ; spatial vision ; fertirrigation ; teaching–learning ; spectrometry ; Sentinel-2 ; pasture quality index ; normalized difference vegetation index ; normalized difference water index ; supplementation ; decision making ; digital agriculture ; grape yield estimate ; berries counting ; Dilated CNN ; machine learning algorithms ; classification performance ; winter wheat mapping ; large-scale ; water stress ; Prunus avium L. ; stem water potential ; low-cost thermography ; thermal indexes ; canopy temperature ; non-water-stressed baselines ; non-transpiration baseline ; soil moisture ; andosols ; image processing ; greenhouse ; automatic tomato harvesting ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 30
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –
    Schlagwort(e): Traffic sign detection and tracking (TSDR) ; advanced driver assistance system (ADAS) ; computer vision ; 3D convolutional neural networks ; machine learning ; CT brain ; brain hemorrhage ; visual inspection ; one-class classifier ; grow-when-required neural network ; evolving connectionist systems ; automatic design ; bio-inspired techniques ; artificial bee colony ; image analysis ; feature extraction ; ship classification ; marine systems ; citrus ; pests and diseases identification ; convolutional neural network ; parameter efficiency ; vehicle detection ; YOLOv2 ; focal loss ; anchor box ; multi-scale ; deep learning ; neural network ; generative adversarial network ; synthetic images ; tool wear monitoring ; superalloy tool ; image recognition ; object detection ; UAV imagery ; vehicular traffic flow detection ; vehicular traffic flow classification ; vehicular traffic congestion ; video classification ; benchmark ; semantic segmentation ; atrous convolution ; spatial pooling ; ship radiated noise ; underwater acoustics ; surface electromyography (sEMG) ; convolution neural networks (CNNs) ; hand gesture recognition ; fabric defect ; mixed kernels ; cross-scale ; cascaded center-ness ; deformable localization ; continuous casting ; surface defects ; 3D imaging ; defect detection ; object detector ; object tracking ; activity measure ; Yolo ; deep sort ; Hungarian algorithm ; optical flows ; spatiotemporal interest points ; sports scene ; CT images ; convolutional neural networks ; hepatic cancer ; visual question answering ; three-dimensional (3D) vision ; reinforcement learning ; human–robot interaction ; few shot learning ; SVM ; CNN ; cascade classifier ; video surveillance ; RFI ; artefacts ; InSAR ; image processing ; pixel convolution ; thresholding ; nearest neighbor filtering ; data acquisition ; augmented reality ; pose estimation ; industrial environments ; information retriever sensor ; multi-hop reasoning ; evidence chains ; complex search request ; high-speed trains ; hunting ; non-stationary ; feature fusion ; multi-sensor fusion ; unmanned aerial vehicles ; drone detection ; UAV detection ; visual detection ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 31
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-04-05
    Beschreibung: Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, , affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010–2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards, amounting to USD 3 trillion, which is USD 1 trillion more than for the period of 2000–2009. In 2019, the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report, 2019). In this context, remote sensing shows high potential to provide valuable information, at various spatial and temporal scales, concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis, in terms of sensors, platforms, and techniques, are strongly contributing to the development of natural hazards research. With this Special Issue titled “Remote Sensing for Natural Hazards Assessment and Control”, we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies, expertise, and capabilities to detect, assess, monitor, and model natural hazards. The present Special Issue of Remote Sensing encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques, as well as focusing on a well-assorted sample of NH types.
    Schlagwort(e): wildfires ; hillslope erosion ; satellite imagery ; rainfall erosivity ; RUSLE ; rockfall source areas ; identification ; relief ; slope angle ; rock mass strength ; rockfall susceptibility ; land subsidence ; Geographic Information System (GIS) ; InSAR ; machine learning algorithm ; meta-heuristics ; Iran ; k-Nearest Neighbor ; Random Forest ; fires ; Landsat 8 ; Sentinel 2 ; Terra ; ASTER ; MODIS ; burned ; mapping ; hazard chain ; turbidity ; suspended sediment detection ; extreme climate events ; tailing dam risk management ; spatiotemporal pattern mining ; El Niño ; remote sensing ; geographic information system ; flash floods ; visual analysis ; SAR offset tracking ; glacier surface velocity ; glacier instability ; glacier hazards ; ice avalanches ; ENSO ; glacier mass balance ; glacier surface energy ; earthquake ; coseismic effects ; field line resonance ; acoustic gravity waves ; lithosphere-magnetosphere coupling ; burnt area monitoring ; Australia ; Sydney ; wildfire ; earth observation ; mid-resolution sensors ; time series analysis ; burn severity ; climate zones ; deep learning ; PRISMA ; burned area ; Sentinel-2 ; morphological operator ; convolutional neural network ; casualty prediction ; importance assessment ; spatial division ; support vector regression ; digital image correlation ; phase correlation ; optical flow ; time series image stack ; landslides ; ground motion identification ; displacement mapping ; UAS ; risk assessment ; random forest ; DInSAR ; Yan’an city ; settlement prediction ; reclaimed land ; exponential model ; Asaoka method ; wide-area deformation ; deformation detection ; time-series InSAR ; stacking ; Turpan–Hami basin ; heavy rainfall ; shallow landslides ; TRIGRS model ; spatial distribution ; susceptibility assessment ; Longchuan County ; Guangdong Province ; MT-InSAR ; ground deformation monitoring ; Sentinel-1A/B ; image partition ; block adjustment ; Gaofen-2 ; Interferometric synthetic aperture radar (InSAR) ; freeze–thaw processes ; permafrost ; Qilian Mountains ; natural hazards ; hazard ; vulnerability ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 32
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
    Schlagwort(e): transportation meteorology ; pavement temperature prediction ; deep learning ; BiLSTM ; attention mechanisms ; winter icing ; air pollution ; traffic vitality ; built environment ; spatial correlation ; spatial lag model ; phone signaling data ; air quality ; behavioral habits ; activity density ; population distribution ; land use mix ; wind forecast ; error decomposition ; bias ; distribution ; sequence ; urban meteorology ; observation ; forecast ; early warning ; review ; China ; low-level wind shear ; ensemble learning classifiers ; Bayesian optimization ; SHapley Additive exPlanations ; wind shear ; go-around ; machine learning ; dynamic ensemble selection ; civil aviation safety ; pilot reports ; self-paced ensemble ; Shapley additive explanations ; climate change ; climatology ; sea ice ; marginal sea ; East Asia ; time-series modeling ; pavement temperature ; nowcasting ; variation characteristics ; forecast validation ; relative humidity ; microwave radiometer data ; total rainfall ; precipitation duration ; vertical distribution ; Beijing–Tianjin–Hebei region ; rail breakage ; frequency ; high-speed railway ; Siberian high ; teleconnection ; temperature ; Qinling mountains ; rainfall ; change characteristics ; geographical factors ; highways ; road blockage ; fuzzy analytic hierarchy process ; CRITIC weight assignment method ; road network vulnerability ; spatiotemporal distribution ; precipitation forecast ; ConvLSTM ; PredRNN ; expressway ; agglomerate fog ; risk level prediction of fog-related accidents ; meteorological conditions ; road hidden dangers ; traffic flow conditions ; visibility ; Yellow Sea and Bohai Sea ; observation data ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 33
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wealth of domain-specific information they hold. These data play a critical role in addressing issues like national security, cybersecurity, marketing, medical informatics, and fraud detection. Deep learning techniques have gained immense popularity. They empower the analysis and understanding of vast amounts of unsupervised data, making them invaluable for processing when raw data lack categorization and labels. These applications extend to working with medical images and signal processing for wellness devices, remote monitoring, and neural devices. In industrial settings, data can be used for early warning systems in assembly lines, while massive datasets can be derived from electronic health records and hospital information systems, for example. This reprint is dedicated to exploring the application of deep learning in tackling significant challenges related to big data, images, and signals. It seeks to unravel the potential of these cutting-edge technologies in addressing complex real-world problems across diverse sectors.
    Schlagwort(e): big data ; image processing ; deep learning ; signal processing ; digital era ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 34
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-02-02
    Beschreibung: This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports.
    Schlagwort(e): heterogeneous transformation ; SAR image ; optical image ; conditional generative adversarial nets (CGANs) ; self-supervised ; synthetic aperture radar (SAR) ; despeckling ; enhanced U-Net ; video synthetic aperture radar (Video-SAR) ; moving target tracking ; guided anchor Siamese network (GASN) ; interferometric synthetic aperture radar ; deep convolutional neural network ; phase unwrapping ; unsupervised change detection ; polarimetric synthetic aperture radar (PolSAR) ; UAVSAR ; multi-scale shallow block ; multi-scale residual block ; synthetic aperture radar ; image registration ; transformer ; deep learning ; SAR target detection ; multiscale learning ; ship detection ; SAR ship detection ; position-enhanced attention ; lightweight backbone ; image augmentation ; building extraction ; SAR ; semantic segmentation ; SAR dataset ; single-stage detector ; two-stage detector ; anchor free ; train from scratch ; oriented bounding box ; multi-scale detection ; computer vision ; low-grade road extraction ; remote sensing ; image segmentation ; optical images ; scene classification ; on-board ; lightweight self-supervised algorithm ; synthetic aperture radar (SAR) image ; arbitrary-oriented ship detection ; differentiable rotational IoU algorithm ; triangle distance IoU loss ; attention-weighted feature pyramid network ; multiple skip-scale connections ; attention-weighted feature fusion ; Rotated-SARShip dataset (RSSD) ; object classification ; radar image reconstruction ; convolutional neural networks ; ResNet18 ; GBSAR ; Omega-K algorithm ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 35
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-07-14
    Beschreibung: Advancements in medical imaging modalities have resulted in increasing the importance and demand of pediatric radiology. This reprint showcases various examples of advanced research in pediatric radiology and nuclear medicine. These include the use of medical imaging modalities such as computed tomography, general radiography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and ultrasound for diagnosis, as well as the performance of artificial intelligence (AI) in computer-aided detection and diagnosis in the pediatric population. The radiation dose issue of pediatric radiological examinations and emerging AI technology for dose reduction, as well as the use of three-dimensional printing based on medical images for pediatric surgical planning, healthcare professional education, and patient–clinician communication are also covered.
    Schlagwort(e): as low as reasonably achievable ; computed tomography ; convolutional neural network ; deep learning ; dose reduction ; generative adversarial network ; image processing ; machine learning ; medical imaging ; noise ; contrast-enhanced ultrasound ; head ultrasound ; brain death ; infants ; ancillary test ; child ; paediatric ; infant ; adolescent ; chest X-ray ; CXR ; chest radiography ; COVID-19 ; SARS-CoV-2 ; coronavirus ; biliary atresia ; ultrasonography ; diagnostic accuracy ; intraoperative cholangiography (IOC) ; diagnostic performance ; elastography ; three-dimensional printing ; congenital heart disease ; children ; model ; personalized medicine ; application ; confusion matrix ; disease identification ; image interpretation ; pneumonia ; artificial intelligence (AI) ; deep learning (DL) ; paediatric pneumonia ; chest radiograph ; computer-aided detection (CAD) ; cumulative ; radiation dose ; acute tonsillitis ; shear wave elastography ; stiffness ; pediatric ; magnetic resonance imaging ; infection ; neck ; emergency medicine ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 36
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-03-07
    Beschreibung: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Schlagwort(e): tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 37
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-02-02
    Beschreibung: The 10th International Conference on Modern Circuit and System Technologies on Electronics and Communications (MOCAST 2021) will take place in Thessaloniki, Greece, from July 5th to July 7th, 2021. The MOCAST technical program includes all aspects of circuit and system technologies, from modeling to design, verification, implementation, and application. This Special Issue presents extended versions of top-ranking papers in the conference. The topics of MOCAST include:Analog/RF and mixed signal circuits;Digital circuits and systems design;Nonlinear circuits and systems;Device and circuit modeling;High-performance embedded systems;Systems and applications;Sensors and systems;Machine learning and AI applications;Communication; Network systems;Power management;Imagers, MEMS, medical, and displays;Radiation front ends (nuclear and space application);Education in circuits, systems, and communications.
    Schlagwort(e): incremental power and timing optimization ; Lagrangian relaxation ; gate sizing ; multimode multicorner ; physical optimization ; two-qubit states ; quantum computers ; quantum gates ; Rabi oscillations ; single qubit quantum computer ; quantum operations simulation ; vision transformers ; computer vision ; deep learning ; artistic style recognition ; memristor model ; tantalum oxide ; memory crossbar ; nonlinear dopant drift ; window function ; LTSPICE library memristor model ; stochastic computing ; stochastic filtering ; stochastic FIR filter ; unconventional computing ; electrical masking ; interconnection delay ; Single Event Multiple Transients ; Soft Error Rate ; STA ; TCAD ; timing-masking ; transient faults ; IoT ; wireless sensor networks ; hydroponics ; smart agriculture ; Network-on-Chip ; bufferless routing ; 3D NoC ; Markov chains ; visible light communication (VLC) ; wireless communication ; analog front end (AFE) ; pre-amplification ; classification ; COVID-19 ; lightweight neural network ; medical imaging ; chest X-rays ; image sensors ; 3D pixels ; 3D sequential integration ; 3DSI ; monolithic 3D ; M3D ; coupling ; parasitic capacitances ; memristor ; emulator ; analog design ; switched capacitor ; mixed signal ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 38
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-06-21
    Beschreibung: For many decades, researchers have been trying to make computers’ analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues still remain, resulting in the need for the development of novel approaches.
    Schlagwort(e): CIELab ; component Substitution ; Pan sharpening ; Pléiades VHR Image ; coal ; inertinite macerals ; classification ; multifractal analysis ; support vector machine ; block-based coding ; video coding ; H.265/HEVC ; affine motion compensation ; image registration ; homography matrix ; local homography transformation ; convolutional neural network ; moving direct linear transformation ; super-resolution (SR) ; convolution neural network (CNN) ; Gene Expression Programming (GEP) ; deep learning ; image preclassification ; suspicious behavior detection ; motion ; magnitude ; gradient ; reactivity ; saliency ; haze removal ; dark channel ; atmospheric-light estimation ; coarse-to-fine search strategy ; sparse dictionary ; stable recovery ; frame ; RIP ; local dimming ; retinex theory ; bi-histogram equalization ; contrast ratio ; details preservation ; pansharpening ; image fusion ; image quality ; Satellite Pour l’Observation de la Terre (SPOT) 6 ; spectral consistency ; spatial consistency ; synthesis ; artificial intelligence ; dental application ; images ; detection ; parseval frame ; transform ; sparse representation ; octave convolution ; bilingual scene text reading ; Ethiopic script ; attention ; nasal cytology ; automatic cell segmentation ; rhinology ; image analysis ; feature extraction ; shape context ; plant recognition ; DPCNN ; BOF ; numeral spotting ; historical document analysis ; convolutional neural networks ; deep transfer learning ; handwritten digit recognition ; spectrum correction ; intensity correction ; compressed sensing ; tradeoff process ; IKONOS ; remote sensing ; fine-tuning ; learning rate scheduler ; cyclical learning rates ; label smoothing ; classification accuracy ; neural networks ; salient object detection ; RGB-D ; object detection ; small object ; multi-scale sampling ; balanced sampling ; texture ; structure ; optical ; coke ; iron ore ; sinter ; image processing ; segmentation ; identification ; action recognition ; silhouette sequences ; shape features ; ambient assisted living ; active ageing ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 39
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-05-06
    Beschreibung: In the past few years, knowledge about glaucoma diagnosis and follow up has evolved dramatically through advances in intraocular pressure (IOP) measurement, corneal biomechanics, structural and functional assessment of the ocular surface, anterior chamber, retina, optic nerve and intracranial visual pathways, as well as the advent of artificial intelligence. In addition, the development of new modalities of IOP-lowering and non-IOP-lowering drugs, alternative deliveries, refined laser technologies, and minimally invasive glaucoma surgery (MIGS) techniques with different implants have widened the therapeutic possibilities for treating this disease. Finally, current insights into risk factors and quality of life in relation to glaucomatous impairment are emerging. The purpose of this Special Issue is to present the latest exciting clinical developments that are taking place in the field of glaucoma.
    Schlagwort(e): ripasudil ; suture trabeculotomy ab interno ; Schlemm’s canal incision ; aqueous outflow ; open-angle glaucoma ; glaucoma ; inflammation ; oxidative stress ; phenotype ; polymorphism ; susceptibility ; intraocular pressure ; ocular inflammation ; cornea biomechanics ; Corvis® ST ; subclinical keratoconus ; ocular hypertension ; tears ; miRNAs ; next generation sequencing ; biomarkers ; genes ; signaling pathways ; apoptosis ; neurodegeneration ; glaucoma suspect ; lamina cribrosa ; optical coherence tomography angiography ; peripapillary vessel density ; OCTA ; vessel density ; disc ; peripapillary ; NTG ; BRVO ; corneal hysteresis ; corneal biomechanics ; ocular biomarkers ; deep learning ; perimetry ; optic nerve ; obesity ; risk factor ; young adults ; multifocal visual evoked potentials ; mfVEP ; physical exercise ; sport ; acrobatic gymnastics ; baseline intraocular pressure ; central corneal thickness ; ocular health ; tumbling skills ; hand balance ; cytokines ; BDNF ; VEGF ; fractalkine ; microglia ; saffron ; crocin ; retinal glial cells ; microperimetry ; OCT ; macula ; structure ; function ; correlation ; retina ; inner ; outer ; macular segmentation ; optical coherence tomography-angiography ; vascular density ; blood flow ; biomarker ; myopia ; n/a ; bic Book Industry Communication::M Medicine
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 40
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-09
    Beschreibung: This Special Issue on advanced sensor technologies contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed. In addition to advances in methodology, applications in healthcare, mining tunnels, cleaning, warehouses and other areas are mentioned.
    Schlagwort(e): UAVs ; inspection and maintenance ; mobile robots ; insulators ; artificial intelligence ; mobile cleaning robot ; vibration source classification ; predictive maintenance ; deep learning ; 1D CNN ; defect detection ; Faster R-CNN ; object detection ; IoRT ; inspection robot ; navigation ; model predictive control ; path planing ; warehouse automation ; underground mining robots ; scan matching ; localization and SLAM in tunnels ; 2D lidar navigation ; GPS-denied environment ; robot navigation ; path planning ; potential field ; bilinear interpolation ; dynamic local re-planning ; domestic dirt ; dirt dataset ; audit robot ; cleaning benchmark ; dirt classification ; robot-aided cleaning auditing ; geometrical feature ; cleaning auditing ; swarm algorithms ; motion trajectory prediction ; kinematical models ; gait biomechanics ; spherical robot ; model ; simulation ; CoppeliaSim (V-REP) ; visual servoing ; autonomous landing ; monocular vision ; aerial robotics ; localization and SLAM ; 3D lidar ; range sensing ; Uniform Second-Order Sliding Mode Observer ; Prescribed Performance Control ; robot manipulators ; finite-time Stability ; feature detection ; light-weight mapping ; B-splines ; localization ; mobile robot ; complete coverage ; path smoothing ; velocity profile optimization ; humanoid robot ; state estimation ; motion capture ; Whole-Body Control ; ADHD ; screening ; skeleton ; position estimation ; indoor positioning ; sensor fusion ; RSSI ; magnetometer ; fingerprint ; wheeled mobile robots ; trajectory generation ; velocity profile ; trajectory optimization ; Bézier curves ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 41
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
    Schlagwort(e): CNC parameters ; machining mode ; high speed ; high accuracy ; high surface quality ; five-axis linear-segment toolpath ; path smoothing ; B-spline curve-fitting ; path synchronization ; feedrate scheduling ; flute-grinding ; evolution algorithms ; wheel location and orientation ; thin-floor machining ; chatter ; magnetorheological damper ; bull-nose end mill ; tool wear monitoring ; milling ; complex part ; deep learning ; autoencoder ; deep multi-layer perceptron ; tool condition monitoring ; tool change policy ; Industry 4.0 ; machine learning ; CNN ; AI ; additive manufacturing ; thin walled machining ; dynamics ; machining cycle optimization ; multivariable tool ; stable peninsula ; homotopy perturbation method ; machining robot ; natural frequency prediction ; model optimization ; dynamic performance ; stability ; machining ; grinding ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 42
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-09
    Beschreibung: The reliability of high-voltage equipment is critical to the safe operation of the power grid. This reprint focuses on the new developments and advances in both fundamental and applied research on the testing, monitoring, and diagnostics of high-voltage equipment, including insulators, transformers, etc.
    Schlagwort(e): HV bushing ; dielectric response ; paper–oil insulation ; temperature distribution ; distribution transformers ; failure analysis ; monitoring ; diagnostic method ; frequency response ; open and short-circuit response ; hydro-generators ; partial discharges ; PD Spectral Pulse Counting Map (PD-SPCM) ; microstrip antenna ; UHF method ; Frequency Resolved Partial Discharges (FRPD) ; AC breakdown characteristics ; arresters ; lightning protection insulator ; electric field calculation ; icing conditions ; cable insulation ; contact surface ; dielectric breakdown ; electrical breakdown ; polymeric insulation ; solid–solid interface ; surface roughness ; insulator ; deicing ; hot water jet ; numerical calculation ; temperature spatial distribution ; pollution insulators ; nonsoluble deposit density ; flashover characteristics ; arc parameters ; high voltage apparatus ; deep learning ; classification ; localization ; partial discharge ; faults ; outdoor insulators ; railway electrification system ; outdoor porcelain insulators ; low-frequency flashover AC voltage ; lightning impulse critical-flashover voltage ; icing ; anti-icing ; de-icing transmission lines ; ice-melting ; icing disaster ; diameter-expanded conductor ; current transferred ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 43
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: The integration of information technologies with industry has marked the beginning of the fourth industrial revolution and promoted the development of industrial engineering. However, the depletion of resources and industrial waste caused by increasing amounts of industrial production pose a huge threat to nature. The application of sustainable supply chains in industrial engineering and management is one of the ways to balance the economy, society and environment. Therefore, it is a key concern for us to explore the construction of sustainable supply chains in industrial engineering and management. Moreover, to understand the impact of low-carbon, sustainable and recycled supply chains on industrial engineering, we need more in-depth investigations.This Special Issue aims to solicit original research and review articles discussing sustainable supply chain decision-making in industrial engineering and management to improve the sustainability of enterprise operations. Moreover, this Special Issue also shows mixed methods (e.g., modeling plus a case study) and rigorous quantitative/qualitative empirical studies of sustainable supply chains.
    Schlagwort(e): coordination degree model ; logistics industry ; digital economy ; industrial integration ; regional IEE system ; multimodel decision ; coupling coordination ; decision support methods ; online retailer ; consumer purchase behavior ; return strategy ; return insurance ; supply chain management ; real-time ; home delivery ; business modeling ; e-commerce ; time window ; lightweight ; carbon emissions ; low carbon benefits ; optimization design ; wheel hub ; subsidy policy ; remanufacturing industry ; donation strategy ; prisoner’s dilemma ; water-efficient products ; quality improvement ; DMAIC ; smart water closets ; carbon abatement ; cost sharing ; capital constraint ; environmental externality ; innovative products ; remanufacturing ; differential game ; bass model ; strategic emerging industries ; industrial structure ; employment effect ; artificial intelligence hardware ; data classification ; deep learning ; emission control ; industrial manufacturing ; bilateral matching decision making ; interval-valued hesitant fuzzy information ; bidirectional projection technology ; organizational quality-specific immunity ; automotive supply chain disruption ; supply chain resilience ; disruption risk ; bibliometric analysis ; co-citation analysis ; NGU ; self-attention ; CNN ; silver prediction ; data-driven ; composite systems ; synergy ; sustainability ; blockchain ; collection channel ; recycling strategies ; uncertain demand ; game theory ; federated learning ; intelligent manufacturing ; sustainable energy ; low-carbon strategy ; livestreaming marketing mode ; consumer low-carbon preference ; level of low-carbon promotion effort ; power structures ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 44
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-28
    Beschreibung: The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article.
    Schlagwort(e): forest structure change ; EBLUP ; small area estimation ; multitemporal LiDAR and stand-level estimates ; forest cover ; Sentinel-1 ; Sentinel-2 ; data fusion ; machine-learning ; Germany ; South Africa ; temperate forest ; savanna ; classification ; Sentinel 2 ; land use land cover ; improved k-NN ; logistic regression ; random forest ; support vector machine ; statistical estimator ; IPCC good practice guidelines ; activity data ; emissions factor ; removals factor ; Picea crassifolia Kom ; compatible equation ; nonlinear seemingly unrelated regression ; error-in-variable modeling ; leave-one-out cross-validation ; digital surface model ; digital terrain model ; canopy height model ; constrained neighbor interpolation ; ordinary neighbor interpolation ; point cloud density ; stereo imagery ; remotely sensed LAI ; field measured LAI ; validation ; magnitude ; uncertainty ; temporal dynamics ; state space models ; forest disturbance mapping ; near real-time monitoring ; CUSUM ; NRT monitoring ; deforestation ; degradation ; tropical forest ; tropical peat ; forest type ; deep learning ; FCN8s ; CRFasRNN ; GF2 ; dual-FCN8s ; random forests ; error propagation ; bootstrapping ; Landsat ; LiDAR ; La Rioja ; forest area change ; data assessment ; uncertainty evaluation ; inconsistency ; forest monitoring ; drought ; time series satellite data ; Bowen ratio ; carbon flux ; boreal forest ; windstorm damage ; synthetic aperture radar ; C-band ; genetic algorithm ; multinomial logistic regression ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 45
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-03-07
    Beschreibung: Non-destructive testing and evaluation are commonly referred to as the vast group of analysis techniques used in civil, medical, and industrial sectors to evaluate the properties of materials, tissues, components, or structures, without causing any damage. Automation offers many benefits for non-destructive testing to cope with increasing demands, including improved reliability and higher inspection speeds. Additionally, robots enable inspections in locations that are not easily accessible to human operators and allow for humans to be removed from potentially dangerous environments. However, the perceived complexity and high costs have limited the adoption of automation. As a result, the full potential that could be derived from the seamless integration of robotic platforms with sensors, actuators, and software has not been fully explored; it could still revolutionise the way that automated inspections are performed and conceived. The recent advancements in electronics, robotics, sensor technology and software pave the way for new developments in automated testing and data-driven autonomous robotic inspections in several sectors. This Special Issue aimed to attract the latest research outcomes in the field of robotic sensing. Five papers relate to inspection systems based on robotic fixed-base manipulators, three of which are associated with in-process inspection in manufacturing applications (robotic wire-arc welding and additive manufacturing). Four papers report research advancements in mobile robotic-enabled sensing.
    Schlagwort(e): wall-climbing robot ; passive adaptive mechanism ; magnetic circuit optimization ; flexible detection method ; welding robot ; seam tracking ; laser sensor ; feature point extracting ; complex welding seam ; UAVs ; inspection ; soft robotics ; non-destructive evaluation ; robotic NDE ; robotic welding ; robotic control ; in-process NDE ; ultrasonic NDE ; ultrasound ; image motion analysis ; image processing ; optical flow ; underwater robotic ; NDT ; free-form surface profiling ; autonomous robotic systems ; in-process robotic NDE ; Wire + Arc Additive Manufacture (WAAM) ; ultrasound testing ; total focusing method ; defect recognition ; aircraft inspection ; deep learning ; CNN ; UAV ; defect classification ; AI ; underwater vehicle–manipulator system ; robotics emulator ; contact management ; remote inspection ; force control ; automated eddy current testing ; eddy current arrays ; robotics ; thermography ; non-destructive testing ; image alignment ; image blending ; n/a ; bic Book Industry Communication::M Medicine
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 46
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-07-06
    Beschreibung: This book focuses on a variety of interdisciplinary perspectives concerning the theory and application of artificial intelligence (AI) in medicine, medically oriented human biology, and healthcare. The list of topics includes the application of AI in biomedicine and clinical medicine, machine learning-based decision support, robotic surgery, data analytics and mining, laboratory information systems, and usage of AI in medical education. Special attention is given to the practical aspect of a study. Hence, the inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly highlighted.
    Schlagwort(e): computational intelligence ; medical assistance ; instance-based learning ; healthcare ; clinical decision support systems ; deep neural networks ; medical imaging ; backdoor attacks ; security and privacy ; COVID-19 ; gastric cancer ; endoscopy ; deep learning ; convolutional neural network ; brain ; pituitary adenoma ; dysembryoplastic neuroepithelial tumor ; DNET ; ganglioglioma ; digital pathology ; computer vision ; machine learning ; CNN ; ATLAS ; HarDNet ; Swin transformer ; segmentation ; U-Net ; cerebral infarction ; CycleGAN ; advanced statistics ; schizophrenia ; aggression ; forensic psychiatry ; medical image segmentation ; CT image segmentation ; kernel density ; semi-automated labeling tool ; Bayesian learning ; neuroimaging ; feature selection ; kernel formulation ; mental disorders ; MRI ; visual acuity ; fundus images ; ophthalmology ; SVM ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 47
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.
    Schlagwort(e): TA1-2040 ; T55.4-60.8 ; T1-995 ; localization ; smart system ; n/a ; connected enterprise ; digital manufacturing ; AHP ; YOLOv3 ; decision support ; neural network ; vertex distance ; depthwise separable convolution ; cutting insert selection ; smart service ; contour detection ; convolutional neural networks ; platform-based ecosystem ; in-line dimensional inspection ; dilated convolutions ; fabric defect detection ; classification ; FCM ; LGM ; digital information flow ; turning ; computer vision ; control service ; blister defect ; RMTs ; feature pyramid ; research and development indicators ; maintenance expert ; polymer lithium-ion battery ; IT concept ; Industry 4.0 ; matching ; data reduction ; competence ; fibre of preserved Szechuan pickle ; elliptical paraboloid array ; relative angle ; geometric relationship ; optical system ; configure-to-order ; aircraft structure crack detection ; digital twins ; smart factory ; D-VGG16 ; optical slope sensor ; smart manufacturing ; self-calibration method ; convolutional neural network ; industry 4.0 ; skyline queries ; machine learning ; scalability test ; cyber-physical production systems ; Cyber-Physical Systems (CPS) ; demand-side response ; cutting parameter optimization ; image smoothing ; marketing innovations ; genetic algorithm ; automation system ; defect detection ; scheduling ; job shop systems ; big data ; operator theory ; micro-armature ; train wheel ; industrial knowledge graph ; industrial load management ; bilinear model ; artificial neural networks ; 4th industrial revolution ; INDUSTRY 4.0 ; construction equipment ; lean assembly ; capacity control ; Grad-CAM ; revolution workpiece ; chatter ; anomaly detection ; QFD ; social network ; deep learning ; control as a service ; warm forming ; automated surface inspection ; cloud-based control system ; innovative marketing tools ; Internet of Things (IoT) ; flower pollination algorithm ; HED ; edge computing ; predictive analytics ; BIM ; digital platforms ; industrial big data ; energy flexibility ; impacts marketing innovations ; intellectualization of industrial information ; economic recession ; 3D mesh reconstruction ; demand-side management ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 48
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.
    Schlagwort(e): TA1-2040 ; T1-995 ; similarity measure ; information filter ; out-of-sequence ; Hellinger distance ; coefficient of determination maximization strategy ; uncertainty measure ; embedded systems ; Internet of things (IoT) ; random delays ; adaptive distance function ; random finite set ; Dempster–Shafer evidence theory (DST) ; safe trajectory ; health reliability degree ; dynamic optimization ; state probability approximation ; sensors bias ; multi-environments ; belief entropy ; quaternion ; closed world ; Gaussian process regression ; Gaussian mixture model (GMM) ; intelligent transport system ; multirotor UAV ; multi-sensor system ; attitude ; time-domain data fusion ; precision landing ; Industry 4.0 ; magnetic angular rate and gravity (MARG) sensor ; uncertainty ; unscented information filter ; data classification ; high-definition map ; global information ; inconsistent data ; extended belief entropy ; sensor system ; Steffensen’s iterative method ; SLAM ; the Range-Range-Range frame ; evidential reasoning ; belief functions ; powered two wheels (PTW) ; electronic nose ; particle swarm optimization ; grey group decision-making ; user experience platform ; complex surface measurement ; DoS attack ; extended Kalman filter ; ICP ; Gaussian density peak clustering ; artificial marker ; random parameter matrices ; optimal estimate ; local structure descriptor ; object classification ; domain adaption ; networked systems ; expectation maximization (EM) algorithm ; attitude estimation ; Gaussian process model ; least-squares smoothing ; target positioning ; RFS ; spectral clustering ; maintenance decision ; multi-target tracking ; GMPHD ; time-distributed ConvLSTM model ; non-rigid feature matching ; unknown inputs ; cardiac PET ; subspace alignment ; gradient domain ; multi-sensor measurement ; data fusion ; Bar-Shalom Campo ; Kalman filter ; signal feature extraction methods ; sensor data fusion algorithm ; distributed architecture ; predictive modeling techniques ; Gaussian mixture model ; self-reporting ; deep learning ; mutual support degree ; security zones ; sensor array ; soft sensor ; aircraft pilot ; projection ; vehicle-to-everything ; distributed intelligence system ; square-root cubature Kalman filter ; information fusion ; evidence combination ; LiDAR ; feature representations ; multi-sensor information fusion ; linear constraints ; galvanic skin response ; decision-level sensor fusion ; most suitable parameter form ; Pignistic vector angle ; SINS/DVL integrated navigation ; fault diagnosis ; facial expression ; yaw estimation ; dual gating ; multi-sensor data fusion ; multisensor system ; A* search algorithm ; data fusion architectures ; drift compensation ; augmented state Kalman filtering (ASKF) ; manifold ; nested iterative method ; data preprocessing ; interference suppression ; conflicting evidence ; sonar network ; Gaussian process ; health management decision ; state estimation ; eye-tracking ; high-dimensional fusion data (HFD) ; MEMS accelerometer and gyroscope ; multitarget tracking ; gaussian mixture probability hypothesis density ; integer programming ; image registration ; Dempster–Shafer evidence theory ; linear regression ; data association ; nonlinear system ; covariance matrix ; multi-source data fusion ; fuzzy neural network ; least-squares filtering ; fire source localization ; network flow theory ; weight maps ; camera ; plane matching ; calibration ; unmanned aerial vehicle ; fixed-point filter ; workload ; intelligent and connected vehicles ; mimicry security switch strategy ; alumina concentration ; the Range-Point-Range frame ; spatiotemporal feature learning ; distributed fusion ; user experience evaluation ; image fusion ; vehicular localization ; sensor fusion ; vibration ; parameter learning ; weighted fusion estimation ; data registration ; pose estimation ; surface quality control ; trajectory reconstruction ; land vehicle ; square root ; Deng entropy ; multi-focus ; EEG ; low-cost sensors ; sensor fusing ; sensor data fusion ; packet dropouts ; estimation ; industrial cyber-physical system (ICPS) ; multi-sensor time series ; multi-sensor network ; Human Activity Recognition (HAR) ; transfer ; multisensor data fusion ; convergence condition ; interaction tracker ; acoustic emission ; Covariance Projection method ; mix-method approach ; orthogonal redundant inertial measurement units ; sematic segmentation ; Surface measurement ; conflict measurement ; user experience measurement ; observable degree analysis ; open world ; novel belief entropy ; cutting forces ; machine health monitoring ; Bayesian reasoning method ; orientation ; surface modelling ; hybrid adaptive filtering ; supervoxel ; RTS smoother ; Dempster-Shafer evidence theory (DST) ; fast guided filter. ; multi-sensor joint calibration ; principal component analysis ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 49
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning.
    Schlagwort(e): forecasting model ; electricity energy consumption ; grey model ; artificial neural network ; machine learning ; rotation CART ensemble ; bagging ; boosting ; arcing ; simplified selective ensemble ; linear stacked model ; IoV ; xNN ; K-MEANS ; anomaly detection ; single-index models ; composite quantile regression ; SCAD ; Laplace error penalty (LEP) ; causality ; Bayesian networks ; scalability ; group lasso penalty ; data integration ; network estimation ; stability selection ; time series model ; wavelet transform ; neural network NARX ; ionospheric parameters ; gambling ; jackpot ; multidimensional integrals ; Monte Carlo methods ; lattice sequences ; digital sequences ; surface approximation ; surface segmentation ; surface denoising ; gaussian process latent variable model ; line geometry ; line elements ; regression ; classification ; prediction ; meteorological parameters ; traffic incidents ; multi-agent architecture ; air pollution ; random forest ; ARIMA errors ; MIMO averaging strategy ; multi-step ahead prediction ; unmeasured forecast ; Explainableartificial intelligence ; credit card frauds ; deep learning ; long short-term memory ; fraud classification ; lung cancer ; tumor ; CT image ; one-stage detector ; YOLO ; multi-scale ; receptive field ; data analysis ; decision trees ; LightGBM ; SHAP ; leisure time ; influencing factors ; time allocation ; neural networks ; cosmic rays ; space weather ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 50
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-07-06
    Beschreibung: Urbanization is a dominant driver of landscape transformation across the world, with cities representing centers of economic and socio-cultural development. Today, more than 4.2 billion people live in urban areas, which represent ~3% of the Earth’s land area. By 2050, it is predicted this number will increase to 6.6 billion people (~70% of the predicted global population). As the human population grows, cities around the globe will continue to expand, increasing the demand for food and services. Within cities, urban forests provide multiple nature-based solutions, as well as other environmental services and socio-economic benefits, such as heat mitigation and social integration. Urban forests are also important for coping with psychological stress during events, such as the COVID-19 pandemic. Therefore, urban forests are a priority for basic and applied forest research because they are intimately connected with people’s physical, cultural, and economic well-being in the urban environment, and can also be important reservoirs of biodiversity. To promote a better understanding of urban forests and landscape ecology, this book in “Urban Forests and Landscape Ecology” compiled research set in urban forests and focused on some spatially explicit processes. Studies presented in this book are highly interdisciplinary and use a wide range of research approaches. This book present nine scientific publications from global urban forests demonstrating that these forests, as a nature-based solution, provide multiple environmental services and are crucial to improve urban livability and thereby the wellbeing of city dwellers.
    Schlagwort(e): aesthetics ; causal effects ; crown form ; foliage form ; urban forests ; urban forest ; NATURA 2000 area ; soundscape ; birds ; biological diversity ; ecosystem disservices ; Mediterranean region ; green infrastructure ; urban forest types ; indicators ; microclimate ; human thermal comfort ; outdoor thermal environment ; public health ; ecological services ; urban green space ; remote sensing ; deep learning ; convolutional neural network ; residual structure ; attention mechanism ; n/a ; urban biodiversity ; urban habitat quality ; InVEST model ; land surface temperature ; Moran’s I ; Zhengzhou ; social media data ; spatiotemporal utilization ; Shanghai ; ecological function ; landscape structure ; GIS ; air pollution alleviation ; accumulation on leaves ; PM2.5 ; encapsulated particles ; urban trees ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 51
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-09-11
    Beschreibung: This reprint showcases a selection of bleeding-edge articles about medical image processing and segmentation workflows based on artificial intelligence algorithms. The proposed papers are applied to multiple and different anatomical districts and clinical scenarios.
    Schlagwort(e): fundus image ; image registration ; deep learning ; computer vision applications ; nuclei segmentation ; histopathology ; Grad-CAM ; semantic segmentation ; instance segmentation ; nuclei detection ; pap smear ; cervical net ; shuffle net ; canonical correlation analysis (CCA) ; support vector machine (SVM) ; random forest (RF) ; k-nearest neighbour (KNN) ; artificial neural network (ANN) ; dual-energy CT ; two-step method ; limited-angular range ; directional total variation ; PA ; CNN ; tooth disease recognition ; image segmentation ; image preprocessing ; breast cancer ; mitotic nuclei classification ; histopathology images ; artificial hummingbird algorithm ; medical imaging ; cervical cancer ; feature fusion ; feature selection ; deep learning structures ; support vector machine ; disease discrimination accuracy ; performance comparisons ; 2D/3D registration ; orthogonal X-ray ; breast density ; CAD ; image enhancement ; textural ; auto-segmentation ; neuroimaging ; magnetic resonance imaging ; ovarian tumor ; 2D ultrasound image ; image inpainting ; lesion segmentation ; attention mechanism ; GAN ; medical image analysis ; synthetic CT ; MRI guidance ; MRI-only ; image-guided radiotherapy ; carbon ion radiotherapy ; particle therapy ; rare tumor ; PCNSL ; radiomics ; image normalization ; MRI ; prostate cancer ; prostate segmentation ; U-Net ; mp-MRI ; loss function ; automatic volume measurement ; ultrasound bladder scanner ; edge computing ; urinary disease ; artificial intelligence ; mandible ; segmentation ; 3D virtual reconstruction ; CBCT ; CT ; Convolutional Neural Networks ; comparison ; in-house ; software ; patch size ; Cranio-Maxillofacial surgery ; DICOM ; osteoarthritis ; histopathological ; hematoxylin eosin ; safranin O fast green ; DarkNet-19 ; MobileNet ; NasNet ; ResNet-101 ; ShuffleNet ; PCA ; ALO ; ensemble learning ; OCT ; pyramidal network ; scale-adaptive ; teeth segmentation ; panoramic radiographs ; mask-transformer-based networks ; panoptic segmentation ; tuberous sclerosis complex ; children ; convolutional neural network ; multi-contrast MRI ; rare neurodevelopmental disorder ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 52
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: Machine learning (ML) technologies are emerging in Mechanical Engineering, driven by the increasing availability of datasets, coupled with the exponential growth in computer performance. In fact, there has been a growing interest in evaluating the capabilities of ML algorithms to approach topics related to metal forming processes, such as: Classification, detection and prediction of forming defects; Material parameters identification; Material modelling; Process classification and selection; Process design and optimization. The purpose of this Special Issue is to disseminate state-of-the-art ML applications in metal forming processes, covering 10 papers about the abovementioned and related topics.
    Schlagwort(e): sheet metal forming ; uncertainty analysis ; metamodeling ; machine learning ; hot rolling strip ; edge defects ; intelligent recognition ; convolutional neural networks ; deep-drawing ; kriging metamodeling ; multi-objective optimization ; FE (Finite Element) AutoForm robust analysis ; defect prediction ; mechanical properties prediction ; high-dimensional data ; feature selection ; maximum information coefficient ; complex network clustering ; ring rolling ; process energy estimation ; metal forming ; thermo-mechanical FEM analysis ; artificial neural network ; aluminum alloy ; mechanical property ; UTS ; topological optimization ; artificial neural networks (ANN) ; machine learning (ML) ; press-brake bending ; air-bending ; three-point bending test ; sheet metal ; buckling instability ; oil canning ; artificial intelligence ; convolution neural network ; hot rolled strip steel ; defect classification ; generative adversarial network ; attention mechanism ; deep learning ; mechanical constitutive model ; finite element analysis ; plasticity ; parameter identification ; full-field measurements ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTU Mining technology and engineering
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 53
    Publikationsdatum: 2024-04-11
    Beschreibung: This Special Issue contains a series of excellent research works on telecommunications and signal processing, selected from the 2018 41st International Conference on Telecommunications and Signal Processing (TSP) which was held on July 4–6, 2018, in Athens, Greece. The conference was organized in cooperation with the IEEE Region 8 (Europe, Middle East, and Africa), IEEE Greece Section, IEEE Czechoslovakia Section, and IEEE Czechoslovakia Section SP/CAS/COM Joint Chapter by seventeen universities from the Czech Republic, Hungary, Turkey, Taiwan, Japan, Slovak Republic, Spain, Bulgaria, France, Slovenia, Croatia, and Poland, for academics, researchers, and developers, and serves as a premier international forum for the annual exchange and promotion of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors worldwide. This collection of 10 papers is highly recommended for researchers, and believed to be interesting, inspiring, and motivating for readers in their further research.
    Schlagwort(e): TA1-2040 ; T1-995 ; similarity measure ; dynamic time warping ; n/a ; Least Absolute Shrinkage and Selection Operator (LASSO) ; multispectral information ; transmission convergence layer ; 3D segmentation ; micrographia ; MATLAB ; neural network ; wireless communication ; identification ; interference alignment ; Parkinson’s disease dysgraphia ; NG-PON2 ; timing ; GPON ; semantic segmentation ; fractional-order filters ; maximum likelihood criterion ; kinematic analysis ; multitemporal data ; fractional calculus ; multi-hop relay network ; u-net ; interference leakage ; Richardson iteration ; activation process ; acoustic analysis ; follow-up study ; fractional-order derivative ; electrocardiogram (ECG) ; deep learning ; security ; modulo M quasi-stationary ; cognitive radio ; low-pass filters ; time-interleaved analog-to-digital converter (TIADC) ; sample-and-hold (S/H) mismatch ; authentication ; pattern recognition ; online handwriting ; sparse inference ; Taylor series ; EPON ; open-source ; spine ; machine learning ; brain ; signal representation ; magnitude responses ; Chebyshev filters ; XG-PON ; phonation ; hypokinetic dysarthria ; Parkinson’s disease ; overcomplete multi-scale dictionary construction ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 54
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-10-25
    Beschreibung: This Special Issue is a book composed by collecting documents published through peer review on the research of various advanced technologies related to applications and theories of signal processing for multimedia systems using ML or advanced methods. Multimedia signals include image, video, audio, character recognition and optimization of communication channels for networks. The specific contents included in this book are data hiding, encryption, object detection, image classification, and character recognition. Academics and colleagues who are interested in these topics will find it interesting to read.
    Schlagwort(e): data hiding ; AMBTC ; BTC ; Hamming code ; LSB ; predicate encryption ; inner product encryption ; constant-size private key ; efficient decryption ; constant pairing computations ; watermarking ; self-embedding ; digital signature ; fragile watermarking ; constrained backtracking matching pursuit ; sparse reconstruction ; compressed sensing ; greedy pursuit algorithm ; image processing ; visual surveillance ; deep learning ; object detection ; latency optimization ; mobile edge cloud ; connected autonomous cars ; smart city ; video surveillance ; physical layer security ; secure transmission ; secrecy capacity ; secrecy capacity optimization artificial noise ; power allocation ; channel estimation error ; neural network ; transfer learning ; scalograms ; MFCC ; Log-mel ; pre-trained models ; seismic patch classification ; CNN-features ; data complexity ; handwritten text recognition ; Residual Network ; Transformer model ; named entity recognition ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 55
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-12-06
    Beschreibung: Using hyperspectral imaging (HSI) to exploit data has been found in a wide variety of applications. This reprint book only presents a small glimpse of it. Many other important applications using HSI which have emerged in data exploitation are not covered in this reprint book. For example, such applications may include water pollution and toxic waste in environmental monitoring, pesticide residual detection in food safety and inspection, plant and crop disease detection in agriculture, tumor detection and breast cancer detection in medical imaging, drug traffic in law enforcement, etc. Nevertheless, this reprint book provides many techniques which may find their ways in these applications as well.
    Schlagwort(e): hyperspectral image few-shot classification ; deep learning ; meta-learning ; relation network ; convolutional neural network ; constrained-target optimal index factor band selection (CTOIFBS) ; hyperspectral image ; underwater spectral imaging system ; underwater hyperspectral target detection ; band selection (BS) ; constrained energy minimization (CEM) ; lightweight convolutional neural networks ; hyperspectral imagery classification ; transfer learning ; air temperature ; spatial measurement ; FTIR ; MWIR ; carbon dioxide absorption ; target detection ; coffee beans ; insect damage ; hyperspectral imaging ; band selection ; visualization ; color formation models ; multispectral image ; image fusion ; joint tensor decomposition ; anomaly detection ; constrained sparse representation ; hyperspectral imagery ; moving target detection ; spatio-temporal processing ; hyperspectral remote sensing ; image classification ; constraint representation ; superpixel segmentation ; multiscale decision fusion ; plug-and-play ; denoising ; nonlinear unmixing ; spectral reconstruction ; residual augmented attentional u-shape network ; spatial augmented attention ; channel augmented attention ; boundary-aware constraint ; atmospheric transmittance ; temperature ; emissivity ; separation ; midwave infrared ; hyperspectral images ; hyperspectral image super-resolution ; data fusion ; spectral-spatial residual network ; self-supervised training ; hyperspectral ; vegetation ; generative adversarial network ; data augmentation ; classification ; rice leaf blast ; hyperspectral imaging data ; deep convolutional neural networks ; fused features ; evolutionary computation ; heuristic algorithms ; machine learning ; unmanned aerial vehicles (UAVs) ; vegetation mapping ; upland swamps ; mine environment ; rice ; rice leaf folder ; hyperspectral image classification ; change detection ; self-supervised learning ; attention mechanism ; multi-source image fusion ; SFIM ; least square estimation ; spatial filter ; hyperspectral imaging (HSI) ; hyperspectral target detection ; hyperspectral reconstruction ; hyperspectral unmixing ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 56
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-07-06
    Beschreibung: Special Issue “Advances in Management of Voice and Swallowing Disorders” is dedicated to innovations in screening and assessment and the effectiveness of interventions in both dysphonia and dysphagia. In contemporary practice, novel techniques have been introduced in diagnostics and rehabilitative interventions (e.g., machine learning, electrical stimulation). Similarly, advancements in methodological approaches to validate measures have been introduced (e.g., item response theory using Rasch analysis), prompting the need to develop new, robust measures for use in clinics and intervention studies. Against this backdrop, this Special Issue focuses on studies aiming to improve early diagnostics of laryngological disorders and its management. This issue also welcomes the submission of studies on diagnostic accuracy and psychometrics performance of existing and newly developed measures. This includes but is not limited to studies investigating screening tools with sound diagnostic accuracy and robust psychometric properties. Furthermore, interventions with high levels of evidence in relation to clinical outcome using robust methodology (e.g., sophisticated meta-analytic approaches) are of great interest. This issue provides an overview of the latest advances in voice and swallowing disorders.
    Schlagwort(e): T1a glottic carcinoma ; transoral laser microsurgery ; treatment outcome ; vocal function ; objective voice diagnostics ; vocal extent measure (VEM) ; occupational voice disorders ; prevention ; prophylaxis ; teachers ; occupational health ; voice training ; balneotherapy ; dysphagia ; swallowing ; laryngeal penetration or aspiration ; deglutition ; reliability ; videofluoroscopic swallowing study ; deep learning ; machine learning ; Voice Handicap Index (VHI-9i) ; international short scale ; VHI-9i severity levels ; test–retest reliability ; validation of classification ranges ; self-assessed vocal impairment (VHIs) ; hoarseness ; dysphonia severity categories ; voice diagnostics ; deglutition disorders ; tongue ; exercise ; ageing ; Sob Voice Therapy ; Optimal Phonation Task ; Negative Practice ; auditory-perceptual analysis ; acoustic voice analysis ; laryngeal sensory dysfunction ; chronic refractory cough ; botulinum toxin ; larynx ; laryngeal hypersensitivity ; cough hypersensitivity syndrome ; globus pharyngeus ; laryngopharyngeal reflux ; neuropathic cough ; throat irritation ; auditory discrimination ; voice control ; voice assessment ; voice disorders ; swallowing disorders ; RCT ; intervention ; compensation ; rehabilitation ; classic test theory ; measure ; psychometrics ; videofluoroscopic swallow studies ; VMV ; neuromuscular electrical stimulation ; pharyngeal electrical stimulation ; PES ; NMES ; repetitive transcranial magnetic stimulation ; transcranial direct current stimulation ; rTMS ; tDCS ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 57
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-04-05
    Beschreibung: When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and remote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent research in precision agriculture has used multispectral images from different platforms, such as satellites, airborne, and, most recently, drones. These images have been used for various analyses, from the detection of pests and diseases, growth, and water status of crops to yield estimations. However, accurately detecting specific biotic or abiotic stresses requires a narrow range of spectral information to be analyzed for each application. In data analysis, the volume and complexity of data formats obtained using the latest technologies in remote sensing (e.g., a cube of data for hyperspectral imagery) demands complex data processing systems and data analysis using multiple inputs to estimate specific categorical or numerical targets. New and emerging methodologies within artificial intelligence, such as machine learning and deep learning, have enabled us to deal with these increasing data volumes and the analysis complexity.
    Schlagwort(e): vineyard ; pesticide application ; variable rate application ; unmanned aerial vehicle ; satellite ; nanosatellite ; monsoon crops ; leaf area index ; leaf chlorophyll concentration ; crop water content ; multispectral ; hyperspectral ; deep learning ; forage dry matter yield ; high-throughput phenotyping ; Brazilian pasture ; nitrogen indicator ; nitrogen nutrition diagnosis ; optical sensor ; spectral index ; UAV ; wheat lodging ; lightweight ; digital surface model (DSM) ; winter wheat ; fractional order differential ; continuous wavelet transform ; optimal subset regression ; support vector machine ; wheat powdery mildew ; machine learning ; information fusion ; remote sensing monitoring ; hyperspectral imaging ; dimensionality reduction ; LDA ; PLS ; PCA ; RandomForest ; ReliefF ; XGB ; Meloidogyne ; Solanum tuberosum ; soil salinity sensitive parameter ; random forest ; optimal retrieval model ; remote sensing ; high throughput phenotyping ; UAV/drone ; biomass estimation ; oats ; wheat ; yield prediction ; random forests ; satellite imagery ; Normalized Difference Vegetation Index (NDVI) ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 58
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.
    Schlagwort(e): data mining ; decision-making system ; rough set ; mixed integer linear programming ; assembly clearance ; diesel engine quality ; Internet of things ; Wireless nodes ; Hybrid clustering ; Multi-hop routing ; Network lifetime ; Artificial intelligence ; data envelopment analysis ; decision making ; artificial intelligence ; performance ; visual analytics ; system ; air quality ; spatiotemporal ; multivariate ; dimension reduction ; clustering ; regular patterns ; anomalies ; speech recognition ; Long Short Term Memory (LSTM) ; speech output correction ; most-matching ; empirical correlations ; rheological properties ; real-time ; water-based drill-in fluid ; artificial neural network ; elastic parameters ; Poisson’s ratio ; sandstone ; self-adaptive differential evolution ; total organic carbon ; barnett shale ; devonian shale ; fishbone multilateral wells ; predictive models ; well productivity ; international research ; knowledge map visualization ; policy documents quantification ; research hotspot ; policy keyword ; minimum miscibility pressure (MMP) ; CO2 flooding ; new models ; face recognition ; security ; spoofing ; histogram of oriented gradients ; smart cities ; deep learning ; LSTM ; neural networks ; location prediction ; trajectories ; smart tourism ; static Young’s modulus ; sandstone formations ; machine learning ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 59
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-02-01
    Beschreibung: In this Special Issue on “Human Health Engineering Volume II”, we invited submissions exploring recent contributions to the field of human health engineering, i.e., technology for monitoring the physical or mental health status of individuals in a variety of applications. Contributions could focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main parts of the monitoring and control engineering scheme applied to human health applications, namely papers focusing on measuring/sensing physiological variables, papers highlighting health-monitoring applications, and examples of control and process management applications for human health. In comparison to biomedical engineering, we envision that the field of human health engineering will also cover applications for healthy humans (e.g., sports, sleep, and stress), and thus not only contribute to the development of technology for curing patients or supporting chronically ill people, but also to more general disease prevention and optimization of human well-being.
    Schlagwort(e): vibratory stimulation device ; local muscle vibration ; proprioceptors ; low back pain ; response frequency ; postural control ; Vater-Pacini corpuscles ; electroencephalography ; deep learning ; driving fatigue ; feature extraction ; convolutional neural network ; rehabilitation ; robotics ; technological devices ; upper limb impairment ; organizational model ; inkjet printing ; respiratory rate ; strain gauge ; stretchable and wearable sensors ; silver nanoparticles ; clinical evaluation ; body posture ; upper limb rehabilitation ; serious games ; haptic feedback ; electromyography sensors ; virtual reality ; smoothness ; wearable sensors ; gait analysis ; stumbling ; plantar visualization ; remote fetal monitor ; measurement uncertainty ; standard deviation ; Monte-Carlo method (MMC) ; efficient estimator ; automated assessment ; UE-FMA ; pinch force ; pulling force ; slip onset ; stroke ; anorexia nervosa ; electrodermal activity ; time-domain analysis ; frequency-domain analysis ; nonlinear analysis ; virtual reality exposure therapy ; driving phobia ; post-traumatic stress disorder ; physiological signal ; piezo-fluid-structural coupled simulation ; APS ; valveless micropump ; closed-loop insulin pump ; Individual verification ; Electrocardiogram (ECG) ; Interval based LDA ; biometrics ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 60
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-27
    Beschreibung: In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.
    Schlagwort(e): short-term forecasts ; direct normal irradiance ; concentrating solar power ; system advisor model ; operational strategies ; central solar receiver ; solar irradiance forecasts ; numerical weather prediction model ; different horizontal resolution ; forecast errors ; validation ; ramp rates ; renewable energy forecasting ; solar radiation ; shark algorithm ; particle swarm optimization ; ANFIS ; nowcasting ; Kalman-Bayesian filter ; WRF ; high-resolution ; complex terrain ; wind ; solar irradiation ; photovoltaic solar energy ; deep learning ; prediction ; biofuel ; risk analysis ; sustainable development ; renewable energy ; biomass ; biotechnology ; anthropogenic waste processing ; energy resource assessment ; tidal-stream energy ; thrust force coefficient ; momentum sink ; unbounded flow ; open channel flows ; shock-capturing capability ; global horizontal irradiance (GHI) ; forecasting ; clearness coefficient ; Markov chains ; weather research and forecasting model ; solar resource ; heat supply of industrial processes ; solar collectors ; economic efficiency ; cross border trading ; Granger causality ; electricity trading ; spot prices ; deformable models ; electric energy demand ; functional statistics ; Kalman filtering ; shape-invariant model ; developing countries ; concentrated solar ; thermochemical ; energy ; renewable energy sources ; climate policy ; forecast ; the European Green Deal ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 61
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: Collectively, the studies presented in this reprint have used various validated biomechanical models or proposed novel methods of motion analysis to gain new insights into health-related problems and sports performance.
    Schlagwort(e): human ankle model ; product of exponentials formula ; anthropometry ; biomechanics ; coordinate measuring machines ; kinematics ; pose estimation ; position measurement ; biomedical informatics ; adolescent idiopathic scoliosis (AIS) ; surface electromyography (sEMG) ; paraspinal muscle ; Schroth exercise ; paraspinal muscle symmetry index (PMSI) ; negative heel shoes ; positive heel shoes ; gait ; pregnant women ; OpenSim ; IDEEA ; dentistry ; dental unit chair systems ; muscle fatigue ; muscle activation ; in vivo study ; femoral neck fracture ; internal fixation ; intramedullary fixation ; finite element analysis ; finite element ; proximal junctional failure ; spinal reconstruction ; thoracolumbar ; rollback ; ligament strain ; kinematic alignment ; mechanical alignment ; total knee arthroplasty ; markerless motion capture system ; gait analysis ; joint moment ; joint power ; running economy ; running style ; duty factor ; vertical oscillation ; stride frequency ; freezing of gait ; gait initiation ; Parkinson’s disease ; posture ; segmental centers of mass ; anthropometric measurement ; base of support ; hand exoskeleton design ; motion simulation ; rehabilitation ; intention recognition ; machine learning ; deep learning ; two-dimensional (2D) image ; marker-free video ; walking speed ; walking speed classification ; bi-LSTM ; redundant feature ; ratio-based body measurement ; optimal feature ; surface topography ; rasterstereographic back shape analysis ; normative data ; healthy adults ; posture analysis ; spine ; intelligent system ; classroom behavior ; motion identification ; shoulder activity ; sensor ; rehabilitation protocol ; proximal humerus fracture ; ground reaction force ; knee and hip ; lower limb ; normal walking ; musculoskeletal multibody dynamics ; spinal biomechanics ; spinal alignment ; spinal loading ; muscle force computation ; thoracolumbar spine ; biomechanical model ; electromyography ; inertial measurement units ; gait-phase prediction ; spinal cord injury (SCI) ; muscle fiber conduction velocity (MFCV) ; surface electromyography (EMG) ; EMG–force relation ; composite index ; characteristic points ; multivariable linear regression ; anterior cruciate ligament deficiency ; competitive swimming ; performance ; velocity fluctuations ; multibody simulation ; finite element method ; co-simulation ; sports ; degeneration ; intervertebral disc ; coupled ; embryo implantation ; human choriocarcinoma cell ; extracellular matrix ; stiffness ; durotaxis ; n/a ; thema EDItEUR::M Medicine and Nursing
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 62
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-10-25
    Beschreibung: Technology is changing the manufacturing world. For example, sensors are being used to track inventories from the manufacturing floor up to a retail shelf or a customer’s door. These types of interconnected systems have been called the fourth industrial revolution, also known as Industry 4.0, and are projected to lower manufacturing costs. As industry moves toward these integrated technologies and lower costs, engineers will need to connect these systems via the Internet of Things (IoT). These engineers will also need to design how these connected systems interact with humans. The focus of this Special Issue is the smart sensors used in these human–robot collaborations.
    Schlagwort(e): physical human-robot interaction ; game theory ; adaptive optimal control ; robot control ; tandem force sensor ; traction force sensor ; human–robot interaction ; contact task ; imitation learning ; safe physical human–robot collaboration ; collision detection ; human action recognition ; artificial intelligence ; industrial automation ; reinforcement learning ; social robotics ; human-robot interaction ; reward design ; physical embodiment ; human robot collaboration ; human robot interaction ; path planning ; bidirectional awareness ; haptic feedback device ; human machine interface ; collision identification ; collaborative robot ; deep learning ; uncertainty estimation ; knowledge distillation ; human–robot collaboration ; speed and separation monitoring ; human–machine differentiation ; thermal cameras ; protective separation distance ; collaborative robots ; motion planning ; human motion prediction ; human-following robots ; teleoperation ; high-speed image processing ; machine learning ; finger position recognition ; grasp type estimation ; human-robot collaboration ; human-centered robotics ; task planning ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 63
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: In recent years, the industrial environment has been changing radically due to the introduction of concepts and technologies based on the fourth industrial revolution, also known as Industry 4.0. After the introduction of Industry 4.0 in large enterprises, SMEs have moved into the focus, as they are the backbone of many economies. Small organizations are increasingly proactive in improving their operational processes, which is a good starting point for introducing the new concepts of Industry 4.0. The readiness of SME-adapted Industry 4.0 concepts and the organizational capability of SMEs to meet this challenge exist only in some areas. This reveals the need for further research and action plans for preparing SMEs in a technical and organizational direction. Therefore, special research and investigations are needed for the implementation of Industry 4.0 technologies and concepts in SMEs. SMEs will only achieve Industry 4.0 by following SME-customized implementation strategies and approaches and realizing SME-adapted concepts and technological solutions. Thus, this Special Issue represents a collection of theoretical models as well as practical case studies related to the introduction of Industry 4.0 concepts in small- and medium-sized enterprises.
    Schlagwort(e): latent semantic analysis ; virtual quality management ; concept investigation ; concept disambiguation ; knowledge discovery ; sustainable methodologies ; small and medium sized enterprises ; material handling systems ; simulation ; ARENA®, time study ; overall equipment effectiveness ; manufacturing performance ; Industry 4.0 ; manufacturing sustainability ; manufacturing process model ; business process management ; hierarchical clustering ; similarity ; BPMN ; human factors ; cyber-physical systems ; cyber-physical production systems ; anthropocentric design ; Operator 4.0 ; human–machine interaction ; energy efficient operation ; manufacturing system ; stochastic event ; digital twin ; Max-plus Algebra ; MATLAB-Simulink ; advanced manufacturing ; industry 4.0 ; SME ; technology adoption model ; assembly supply chain ; sustainability ; complexity indicators ; testing criteria ; SMEs ; e-business modelling ; LSP Lifecycle Model ; Quality Function Deployment ; Best-Worst Method ; Internet of Things ; India ; awareness ; small and medium-sized enterprises ; assessment model ; collaborative robotics ; physical ergonomics ; human-robot collaboration ; human-centered design ; assembly ; small and medium sized enterprise ; positive complexity ; negative complexity ; infeasible configurations ; product platform ; customer’s perception ; assessment ; field study ; smart manufacturing ; cloud platform ; artificial intelligence ; machine learning ; deep learning ; smart logistics ; logistics 4.0 ; smart technologies ; sustainable agriculture ; plant factory ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 64
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This collection gathers the advanced studies of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics cover, but are not limited to, supervised learning, explainable deep learning, finance, healthcare, and sciences.
    Schlagwort(e): Convolutional Neural Network (CNN) ; pooling ; deep learning ; computer vision ; image analysis ; benchmark ; lithium-ion battery ; prognostics ; long short-term memory ; ARIMA ; reinforcement learning ; generative adversarial networks ; deep-learning ; crop/weed classification ; transfer learning ; feature extraction ; natural language processing ; image-text matching ; cheapfakes ; misinformation ; transformer encoder ; RoGPT2 ; control tokens ; summarization ; text generation ; human evaluation ; tricalcium silicate ; analytical model ; ion activity ; dissolution kinetics ; deep forest ; subsurface fluid flow ; Fourier neural operator ; small-shape data ; finite element method ; convolutional neural network ; sensitivity analysis ; source code comments ; classification ; machine learning techniques ; ANN flow law ; constitutive behavior ; radial return algorithm ; numerical implementation ; VUHARD ; GrC15 ; Abaqus Explicit ; defect detection ; surface defect detection ; defect detection for X-ray images ; defect recognition ; photoacoustic imaging ; image processing ; simulation ; reconstruction ; residual echo suppression ; acoustic echo cancellation ; speech enhancement ; graph neural network ; variational autoencoder ; nearest neighbours ; acute myeloid leukemia ; risk factors ; average treatment effect ; uplift modelling ; machine learning ; benzene ; ANOVA ; Shapley values ; self-explaining neural networks ; generalised additive models ; interpretability ; Siamese networks ; synthetic data ; cyclic learning ; unsupervised learning ; data augmentation ; single cell cultivation ; bioimage analysis ; finite element simulation ; plausibility checks ; convolutional neural networks ; storm surge ; hurricane ; forecasting ; CNN ; LSTM ; physics informed neural network ; dynamic force identification ; duffing’s equation ; spring mass damper system ; non-linear oscillators ; massive MIMO ; hybrid beamforming ; compressive measurement matrix ; long short-term memory network ; capsule network ; routing algorithm ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 65
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-04-05
    Beschreibung: In this Special Issue, we aim to represent the vibrant state of protein structure studies at the end of 2021. Recent decades have brought significant changes to the protein structure research field. Thanks to the genome projects and advances in structure determination methods, the number of solved protein structures has increased significantly. Protein structure research is experiencing a new renaissance, and in 2020 the number of deposited structures in the PDB database reached a new record. An assortment of many new frontiers are presented in this collection. A single Special Issue cannot give a comprehensive overview of a large field such as proteins science, but we aim to give a broad overview of current research.
    Schlagwort(e): configurational entropy ; force fields ; intrinsically disordered proteins ; protein folding ; NMR ; high hydrostatic pressure ; thermodynamic stability ; α-helical bundle ; Li-Fraumeni syndrome ; hereditary breast cancer ; germline TP53 missense variants ; quantitative prediction model ; protein conformation ; protein–protein interactions ; protein–protein binding ; protein–protein complex ; coarse-grained modeling ; multiscale modeling ; UFM1 ; UBA5 ; UFC1 ; protein-protein interactions ; complex structure ; oxidative stress ; Nrf2 ; Keap1 ; nuclear magnetic resonance spectroscopy ; hydrogen/deuterium exchange ; mass spectrometry ; circular dichroism ; intrinsically disordered ; bifidobacteria ; fucosidases ; glycosyl hydrolases ; conserved domains ; human milk ; analytical ultracentrifugation ; CO2 concentrating mechanism ; diffusion-ordered NMR spectroscopy ; electrospray ionization mass spectrometry ; homotetramer ; manganese ; metalloprotein ; photosynthesis ; small-angle X-ray scattering ; C1q ; calcium binding proteins ; genetic variation ; otoconia ; otolin-1 ; OTOL1 ; site-directed mutagenesis ; thermal shift assay ; B.1.1.7 ; B.1.617.2 ; COVID-19 ; E484Q ; T478K and L452R mutation ; N501Y mutation ; spike protein ; tetrabromobisphenol A ; tetrabromobisphenol S ; erythrocyte membrane ; retardants ; erythrocytes ; protein–ligand interactions ; protein dynamics ; FK506-binding protein ; FKBP12 ; FKBP51 ; oxidative folding ; glutathionylation ; nitrosylation ; cysteine reactivity ; ribosomal exit tunnel ; transient complex ; glutathione ; phosphorylation ; transmembrane proteins ; saturation mutagenesis ; deep sequencing ; residue packing ; deep learning ; convolutional neural network ; bidirectional long-short term memory ; protein ; prediction ; contact ; distance ; alphafold ; ProSPr ; CASP ; dataset ; retrainable ; mutual synergetic folding ; solvent accessibility of peptide bonds ; inter-subunit interaction ; solvent-accessible surface area ; Shannon information entropy ; amino acid composition ; glucose ; GlcNAc ; galactose ; GalNAc ; mannose ; xylose ; fucose ; Neu5Ac ; glucuronate ; iduronate ; tetrahydropyran ; entropy ; free energy ; free energy landscape ; energy-dependent protein folding ; co-translational protein folding ; molecular chaperones ; physical model of protein folding ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 66
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-28
    Beschreibung: This Special Issue is dedicated to Professor Reinhard Schlickeiser on the occasion of his 70th birthday. Reinhard Schlickeiser’s internationally well-recognized work, comprising several hundred research articles and the comprehensive monograph “Cosmic Ray Astrophysics,” has had a lasting influence in several areas of astrophysics. He has also inspired a large number of junior researchers, many of whom are now pursuing successful academic careers. Over the last few decades, he has motivated and established many fruitful collaborations that have triggered new ideas and provided new insights into various plasma and astrophysical topics. This Special Issue aims to present original papers by Reinhard Schlickeiser’s collaborators that document the breadth of his scientific accomplishments and the subsequent studies that he has directly or indirectly influenced as a collaborator or as a teacher. This Special Issue may serve as inspiration for others to follow in his path and to accept the challenges awaiting them in the many areas of astrophysics that have been, for many years, Reinhard’s turf.
    Schlagwort(e): Langmuir waves ; Landau damping ; particle wave interactions ; space physics ; plasma physics ; n/a ; nucleus-acoustic waves ; nonlinear waves ; nonplanar geometries ; non-thermal radiation mechanisms ; relativistic jets ; relativistic processes ; BL Lacertae objects ; active galaxies ; blazars ; diffusive shock acceleration ; radiative transport ; gamma-rays ; solar wind ; plasmas ; instabilities ; waves ; cosmic rays ; galactic anti-matter ; solar modulation ; solar cycle ; dissipative solitary waves ; magnetized plasma ; superthermal trapped electrons ; kappa distribution ; Schamel equation ; oblique propagation of electrostatic plasma waves ; suprathermals ; cosmic-ray transport ; turbulence ; plasma waves ; particle-in-cell simulations ; automated driving ; data-driven modeling ; deep learning ; scene prediction ; trajectory prediction ; Alfvén waves ; wave–wave interactions ; magnetic loops ; solar corona ; particle transport ; numerical methods ; modelling ; cosmic-ray diffusion ; active galactic nuclei (AGN) ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 67
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: Cybersecurity models include provisions for legitimate user and agent authentication, as well as algorithms for detecting external threats, such as intruders and malicious software. In particular, we can define a continuum of cybersecurity measures ranging from user identification to risk-based and multilevel authentication, complex application and network monitoring, and anomaly detection. We refer to this as the “anomaly detection continuum”. Machine learning and other artificial intelligence technologies can provide powerful tools for addressing such issues, but the robustness of the obtained models is often ignored or underestimated. On the one hand, AI-based algorithms can be replicated by malicious opponents, and attacks can be devised so that they will not be detected (evasion attacks). On the other hand, data and system contexts can be modified by attackers to influence the countermeasures obtained from machine learning and render them ineffective (active data poisoning). This Special Issue presents ten papers that can be grouped under five main topics: (1) Cyber–Physical Systems (CPSs), (2) Intrusion Detection, (3) Malware Analysis, (4) Access Control, and (5) Threat intelligence.AI is increasingly being used in cybersecurity, with three main directions of current research: (1) new areas of cybersecurity are being addressed, such as CPS security and threat intelligence; (2) more stable and consistent results are being presented, sometimes with surprising accuracy and effectiveness; and (3) the presence of an AI-aware adversary is recognized and analyzed, producing more robust solutions.
    Schlagwort(e): Internet of Things ; cybersecurity ; cyber threats ; malware detection ; machine learning ; network traffic ; cooperative intelligent transportation systems (cITSs) ; IDS ; vehicular ad-hoc networks (VANET) ; adaptive model ; deep belief network (DBN) ; NIDS ; deep learning ; false negative rate ; artificial neural network ; MITRE ATT&CK Matrix ; techniques classification ; BERT-based multi-labeling ; formal ontology ; risk identification ; vulnerability ; portable executable malware ; tree-based ensemble ; performance comparison ; statistical significance test ; adversarial examples ; face recognition ; mask matrix ; targeted attack ; non-targeted attack ; anomaly detection ; attack detection ; cyber-physical system ; datasets ; evaluation metrics ; biometric cryptosystem ; iris identification ; error-correcting codes ; intrusion detection ; smart grid ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 68
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-02-01
    Beschreibung: Childhood obesity continues to be a global problem, with several regions showing increasing rates and others having one in every three children overweight despite an apparent halt or downward trend. Children are exposed to nutritional, social, and obesogenic environmental risks from different settings, and this affects their lifelong health. There is a consensus that high-quality multifaceted smart and cost-effective interventions enable children to grow with a healthy set of habits that have lifelong benefits to their wellbeing. The literature has shown that dietary approaches play key roles in improving children’s health, not only on a nutritional level but also in diet quality and patterns. An association between the nutritional strategy and other lifestyle components promotes a more comprehensive approach and should be envisioned in intervention studies. This Special Issue entitled “Child Obesity and Nutrition Promotion Intervention” combines original research manuscripts or reviews of the scientific literature concerning classic or innovative approaches to tackle this public health issue. It presents several nutritional interventions alongside lifestyle health factors, and outcome indicators of effectiveness and sustainability from traditional to ground-breaking methods to exploit both qualitative and quantitative approaches in tackling child obesity.
    Schlagwort(e): serious game ; gamification ; eating behavior ; food neophobia ; willingness to taste ; nutritional status ; obesity ; dietary habits ; allergy ; pulmonary function ; allergic rhinitis ; asthma ; dietary habit ; vegetable consumption ; food intake ; preschool children ; Japan ; nutrition ; stress ; mental health ; family ; health behavior ; childhood obesity ; health intervention ; healthy lifestyle intervention ; school-based intervention ; MVPA ; overweight and obesity ; self-efficacy ; adolescent girls ; parent–child dyads ; food availability ; advertising ; healthy diet ; promotion programs ; community-based program ; school meals ; salt intake ; sodium consumption ; schools ; canteen ; adolescents ; implementation ; purchase behaviour ; overweight ; machine learning ; deep learning ; statistical models ; data science ; BMI ; child ; surveillance ; health ; noncommunicable diseases ; children ; fruit ; vegetables ; soft drinks ; energy balance-related behaviors ; self-regulation skills ; preschoolers ; randomized controlled trial ; intervention effects ; parental educational level ; intervention mapping ; multicomponent intervention ; school children ; food and nutrition ; intervention ; healthy eating ; food acceptance ; tactile play ; cooking ; fish ; health promotion ; childhood overweight ; risk ; community ; screening ; tool ; food environment ; home ; school ; food consumption patterns ; dietary intakes ; macronutrients ; micronutrients ; Eastern Mediterranean Region ; review ; parental role modelling ; family environment ; availability and accessibility ; cluster randomised controlled trial ; minority ; parents ; prevention ; diet ; nutrition promotion ; Black/African American ; Hispanic ; qualitative ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFC Cultural studies::JFCV Food & society
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 69
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-03-07
    Beschreibung: This reprint, entitled “Process Control and Smart Manufacturing for Industry 4.0”, contains the extended papers from the Series of annual IFSA conferences on Automation, Robotics and Communications for Industry 4.0/5.0 (ARCI) on the following topics: Process Automation, Process Control and Monitoring, Design Principles in Industry 4.0, Smart Manufacturing and Technologies, Smart Factories, Machine Learning and Artificial Intelligence in Manufacturing. The reprint contains 13 chapters written by 54 ARCI conference participants from seven countries: China, Croatia, Denmark, Germany, Italy, Poland and Romania. This reprint will inform readers of cutting-edge developments in the field and provide effective starting points and a road map for further research and development. All chapters follow the same structure: firstly, an introduction to the specific topic under study; secondly, a description of the field, including sensing or/and measuring applications. Each chapter ends with a curated list of references, including books, journals, conference proceedings and websites. “Process Control and Smart Manufacturing for Industry 4.0” is intended for researchers and scientists from academia and industry, as well as for postgraduate students.
    Schlagwort(e): steel alloys ; resistance spot welding ; RSW ; electrode wear ; electrode tip-dressing ; process monitoring ; mushrooming ; plateau forming ; quality control ; COVID-19 ; FDM ; 3D printing ; injection molding ; personal protection ; rapid prototyping ; protective face shields ; mechatronics line ; visual servoing system ; wheeled mobile robot ; industrial robotic manipulator ; Industry 4.0 ; NDT ; magnetic particle inspection ; optimization ; condition monitoring ; vibration ; acoustic emission ; drive train ; data fusion ; machine learning ; product morphology ; core data model ; phase rule filter ; phase private data model ; storage system ; forklift AGV ; deep learning ; semantic segmentation ; H-Swish ; community transformation ; community innovation governance ; ternary space ; coupling and coordination analysis ; lean manufacturing ; lean principles ; pull principle ; production control mechanisms ; production processes ; lean implementation ; batch process ; partial least squares ; multi-phase ; multi-mode ; master production scheduling ; make-to-order ; mathematical programming ; agent-based ; overtime ; earliness ; tardiness ; equipment selection decision ; business compass ; energy consumption ; processing time ; beetle antennae search algorithm ; sustainable blank dimension design ; energy-saving ; low-carbon ; grey wolf algorithm ; gas–solid ; cyclone ; separator ; gas dynamics ; erosion ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 70
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-02-20
    Beschreibung: This Special Issue is intended to lay the foundation of AI applications focusing on oral health, including general dentistry, periodontology, implantology, oral surgery, oral radiology, orthodontics, and prosthodontics, among others.
    Schlagwort(e): machine learning ; artificial intelligence ; malocclusion ; diagnostic imaging ; active learning ; maxillary sinusitis ; convolutional neural network ; deep learning ; segmentation ; oral microbiota ; LEfSe ; PCoA ; alloprevotella ; prevotella ; core microbiota ; artificial neural networks ; oral cancer diagnosis ; oral cancer prediction ; pit and fissure sealants ; caries assessment ; visual examination ; clinical evaluation ; convolutional neural networks ; transfer learning ; deep learning network ; YOLOv4 ; mandibular third molar ; inferior alveolar nerve ; contact relationship ; panoramic radiograph ; deep learning methods ; caries diagnosis ; dental panoramic images ; radiography ; Fourier transform infrared spectroscopy ; FTIR imaging ; spectral biomarker ; multivariate analysis ; discriminant model ; oral squamous cell carcinoma ; oral epithelial dysplasia ; oral potentially malignant disorder ; risk stratification ; early oral cancer detection ; dentigerous cysts ; histopathology images ; image classification ; odontogenic keratocysts ; radicular cysts ; AI ; screening ; diagnosis ; dentistry ; ultrasonography ; tongue ; algorithm ; dysphagia ; impacted ; tooth ; detection ; neural networks ; proximal caries ; training strategy ; small dataset ; periapical radiograph ; X-ray ; tooth extraction ; oroantral fistula ; operative planning ; n/a ; bic Book Industry Communication::M Medicine
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 71
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: The evolution and need for the preservation and maintenance of existing structures, recent or historical, has fostered research in the area of structural monitoring, translated into the development of new techniques, equipment and sensors. Early detection of damage and accurate assessment of structural safety requires monitoring systems, the data from which can be used to calibrate numerical models for structural analysis and to assess safety. Data are obtained under real-time conditions, considering a group of parameters related to structural properties, such as stresses, accelerations, deformations and displacements. The analysis of structural properties is particularly relevant when the structure is subjected to extreme events (earthquakes, wind, fire and explosions, among others) or repeated loads (road/rail/air traffic, vibrations induced by equipment and machines), since they affect the structural integrity and put the users at risk. In order to prevent the severe damage and eventual collapse of structures, and consequent human, material and economic losses, the implementation of monitoring systems becomes a valuable tool for today's society. Monitoring of structures is becoming increasingly important, not only as preventive action, but also due to actual economic and sustainability concerns, to ensure a safer and more comfortable built environment.
    Schlagwort(e): image-based measurement ; crack measurement ; shear cracks ; flexural cracks ; damage index ; nuclear power plant ; visual inspection ; photometric stereo ; 3D reconstruction ; rotating stall ; non-synchronous blade vibration ; blade tip timing ; centrifugal compressor ; distributed measurements ; fiber optic sensors ; scour ; soil-structure interaction ; winkler model ; equivalent length ; corrosion sensor ; oil and gas pipelines ; optical fibers ; Fiber Bragg Grating (FBG) ; distributed optical fiber strain sensing cable ; Brillouin scattering ; Rayleigh scattering ; strain sensing cable characterization ; elasto-plastic behavior ; strain sensitivity coefficients ; bridge damage detection ; fiber optic gyroscope ; deep learning ; convolutional neural network ; Fiber Bragg grating ; fiber optic sensors embedded in concrete ; strain measurement ; monitoring ; cracking ; weldable fiber optic sensors ; optical fiber sensors ; material extrusion ; hybrid processes ; temperature and strain monitoring ; similarity measure ; subway tunnel ; distributed vibration ; feature extraction ; autoencoder ; ultra-weak FBG ; hyperspectral imaging ; spectral indices ; random forest ; growth stage ; Fusarium head blight ; structural health monitoring ; load localization ; load estimation ; depth sensor ; artificial neural networks ; castigliano’s theorem ; crack detection ; crack opening ; distributed fiber optic sensors ; DIC ; UHPFRC ; testing ; SHM ; microcracking ; PAD ; environmental monitoring ; colorimetric detection ; water ; atmosphere ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 72
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-09
    Beschreibung: This reprint collected a set of papers where our section Editorial Board Members discuss key topics that typify the very best insightful and influential original articles or reviews in the “Communications” field. We expect these papers to be widely read and highly influential within the field.
    Schlagwort(e): network security ; double defense ; zero trust ; situation awareness ; immunology ; blind modulation classification ; orthogonal frequency division multiplexing ; higher-order cumulant and cyclic cumulant ; maximum-likelihood ; maximum a posteriori ; deep learning ; convolutional neural networks ; probability of correct classification ; testbed implementation ; drone ; UAV ; RF methods ; software-defined radio ; detection system ; defense system ; TSN ; Industry 4.0 ; smart distributed measurement systems ; IIoT ; IoT ; Ethernet ; Wi-Fi ; bit error rate ; fading channels ; Internet of things ; LoRa ; performance evaluation ; Named Data Networking ; information centric networking ; caching ; edge networks ; 6G ; IEEE 802.11be ; multilink operation ; channel access ; backoff ; coexistence ; Bluetooth ; wireless passive human sensing ; wireless sensor networks ; cyber-attacks ; intrusion-detection system ; MCDM ; q-rung orthopair fuzzy sets ; q-ROFWG ; 5G ; 5G-AKA ; authentication ; blockchain ; BAN logic ; Scyther ; radio channel ; path loss ; signal strength ; receivers ; transmitters ; wireless communication ; computational modeling ; path planning ; electromagnetic propagation ; loss measurement ; propagation loss ; reconfigurable antenna ; metasurface ; varactor diode ; beam-scanning ; high gain ; actor–critic learning ; energy-efficiency ; O-RAN ; RAN optimization ; low power wide-area networks ; large-scale LoRa networks ; single-channel LoRa gateways ; multi-objective ; quantum computing ; quantum optimization algorithms ; quantum routing optimization ; 6G communication networks ; SNR estimation ; optical wireless communications ; intensity modulation ; digital signature ; elliptic curve cryptography ; key exchange ; platoons ; Sybil attack ; 3D indoor localization ; location-based services ; Internet of Things ; computer vision ; biomedical imaging ; biometrics ; remote sensing ; cybersecurity ; natural language processing ; audio and speech processing ; control system and robotics ; information system ; food ; agriculture ; chemistry ; characteristic mode ; parasitic loading ; slit loading ; low-profile ; wearable antenna ; platoon ; traffic congestion ; collision avoidance ; CACC ; merge maneuver ; join maneuver ; lane change ; clustering ; information element ; MAC de-randomization ; OPTICS ; probe request ; WiFi-enabled device detection ; wireless sensing device ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 73
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-02-01
    Beschreibung: Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.
    Schlagwort(e): rolling bearing ; performance degradation ; hybrid kernel function ; krill herd algorithm ; SVR ; acoustic-based diagnosis ; gear fault diagnosis ; attention mechanism ; convolutional neural network ; stacked auto-encoder ; weighting strategy ; deep learning ; bearing fault diagnosis ; intelligent leak detection ; acoustic emission signals ; statistical parameters ; support vector machine ; wavelet denoising ; Shannon entropy ; adaptive noise reducer ; gaussian reference signal ; gearbox fault diagnosis ; one against on multiclass support vector machine ; varying rotational speed ; fault detection and diagnosis ; faults estimation ; actuator and sensor fault ; observer design ; Takagi-Sugeno fuzzy systems ; automotive ; perception sensor ; lidar ; fault detection ; fault isolation ; fault identification ; fault recovery ; fault diagnosis ; fault detection and isolation (FDIR) ; autonomous vehicle ; model predictive control ; path tracking control ; fault detection and isolation ; braking control ; nonlinear systems ; fault tolerant control ; iterative learning control ; neural networks ; cryptography ; wireless sensor networks ; machine learning ; scan-chain diagnosis ; artificial neural network ; NARX ; control valve ; decision tree ; signature matrix ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 74
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-03-07
    Beschreibung: This reprint focuses on fish otoliths, as one of the most useful and important biological structures for fishery scientists and managers around the world. Collected papers cover several different research areas, from the otolith macro- to the microstructure and microchemistry, analyzing different types of otoliths and investigating various freshwater and marine species in their larval, juvenile and adult stages. Special attention is given to different approaches in otolith research and to many practical applications of such studies. The obtained data served to determine the age and growth of individual fish; to study habitat interactions, migration patterns, or habitats that the fish live in; to detect water temperatures or the presence of certain pollutants in the environment; and to reveal all other vital information about the life history of the fish.
    Schlagwort(e): sagittal otolith ; somatic growth ; long-lived fishes ; ontogeny ; teleost anatomy ; development ; fish morphology ; Fourier ; marking ; alizarin complexone ; hard tissue ; fin ray ; otolith ; scale ; silver carp (Hypophthalmichthys molitrix) ; age ; growth ; otoliths ; morphometry ; Sphyraena sphyraena ; fish age determination ; Greenland halibut ; deep learning ; dataset shift ; domain adaptation ; red snapper ; wavelet ; genetic diversity ; population structure ; asteriscus ; side effect ; otolith shape ; geographical effect ; temperature effect ; pH ; brook trout ; fish kill ; anadromy ; otolith microchemistry ; crucian carp ; strontium ; marking efficiency ; restocking ; time delay ; fish otoliths ; CNN ; age determination ; web tool ; Kokanee ; homing ; stocking ; Anguilla anguilla ; fish biology ; ecosystem variability ; minho river ; stock assessment ; Coilia nasus ; river estuary ; Yellow Sea ; elemental signature ; stable isotopic signature ; stock spatial structure ; atherinids ; trade-off ; daily growth ; spawning ; European hake ; length–frequency distribution ; sex-ratio ; hydro-morpho-sedimentary characteristics ; marginal increment analysis ; band deposition ; Thunnus thynnus ; growth curves ; edge analysis ; growth performance index ; quartile of marginal growth band method ; k-fold cross-validation ; back-calculation ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 75
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-04-05
    Beschreibung: Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, robots, and smart machinery for precision agriculture. The expansion of cloud technologies, artificial intelligence (AI), machine learning (ML), deep learning (DL), and big data collection are setting the stage for Agriculture 5.0. Agriculture science and natural sciences are further promoting this trend with the development of leading-edge scientific models and platforms, including stochastic, process-based, and data-driven machine learning modeling. This Special Issue covers the most recent and up-to-date progress in all aspects of internet and computer software applications in agriculture, focusing on the development of web applications and mobile apps, smart IoT devices and platforms, AI, ML and DL solutions in precision agriculture for detection, recognition, classification, monitoring, cultivation, harvesting, and marketing; development of cloud technologies for smart agriculture; computer and machine vision methods and applications for drones and smart machinery, and sensors for field operations; diagnostics and data collection; big data science; scientific process-based and stochastic modeling; and machine learning modeling for agriculture, agroecosystems and natural ecosystems. The research in this Special Issue will contribute to the promotion of modern agriculture practices in the current climate and in the future.
    Schlagwort(e): grape varieties identification ; Support Vector Machine (SVM) ; Convolutional Neural Network (CNN) ; deep feature fusion ; Canonical Correlation Analysis (CCA) ; smart machinery ; digital agriculture ; Chinese agricultural diseases and pests ; named entity recognition ; adversarial training ; semantic enhancement ; technology innovation ; food processing ; transition pathways ; sustainable food systems ; transformation ; smart farming ; IoT ; WSN ; containerization ; multi-agent ; neural network ; LSTM ; leisure agricultural park ; traveler group ; COVID-19 pandemic ; fuzzy collaborative intelligence ; machine vision ; maize seeds ; classification ; deep learning ; convolutional neural network ; decision support systems ; agricultural water management ; water security ; data-driven modeling ; conceptual resilience model ; input uncertainty ; climate extreme ; process-based modeling ; vehicle routing problem ; fresh agricultural products ; split delivery ; NSGA-II algorithm ; farm management information system ; farmers’ information needs assessment ; soft system methodology ; smallholder farmers ; conceptual model ; Indonesian chili farmers ; residual block ; attention mechanism ; grape leaf disease ; aquatic products price forecast ; VMD ; IBES ; hybrid model ; precision agriculture ; sensor network ; semi-literate farmers ; interactive interface ; User Interface (UI) ; Android apps ; machine learning ; regression algorithms ; web application ; early prediction of crop yield ; grape detection ; self-attention ; buffalo breeds ; Neural Networks ; Self Activated CNN ; DeepLabv3+ ; semantic segmentation ; picking point identification ; e-commerce interest linkage ; participation willingness and behaviors ; government policies ; farmers’ cognition ; evolutionary game model ; structural equation model ; object detection ; YOLOv7 ; hemp duck count ; smart agriculture ; LoRaWAN ; water status ; supply chain ; horticulture ; logistics ; operations ; planning framework ; decision support ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 76
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: In total, this Special Issue includes 11 papers. Firstly, Qi et al. conducted research on the large-scale non-uniform parallel solution of the two-dimensional Saint-Venant equations for flood behavior modeling. Zhang et al. proposed an efficient deep learning-based mineral identification method. Subsequently, Huang et al. proposed a named entity recognition method for geological news based on BERT model. Yang et al. proposed an automatic landslide identification method to solve the problem of the time-consuming nature and low efficiency of traditional landslide identification methods. Du et al. analyzed the potential of unsupervised machine learning methods for submarine landslide prediction. Wang et al. performed parallel computations on the inversion algorithm of the two-dimensional ZTEM. Xu et al. used the sliding window method and gray relational analysis to extract features from multi-source real-time monitoring data of landslides. Furthermore, Cao et al. proposed a new method called dual encoder transform (DualET) for the short-term prediction of photovoltaic power. Hao et al. conducted a series of parallel optimizations and large-scale parallel simulations on the high-resolution ocean model. Wang et al. proposed a time series prediction model for landslide displacements using mean-based low-rank autoregressive tensor completion. Finally, Yang et al. developed a measure of site-level gross primary productivity (GPP) using the GeoMAN model.
    Schlagwort(e): Saint-Venant equations ; finite difference method ; parallel computing ; heterogeneous computing ; deep learning ; image enhancement ; mineral identification ; convolutional neural networks ; BERT ; named entity recognition ; geological news ; CRF ; semantic segmentation ; PSPNet ; landslide ; submarine landslide ; machine learning ; hazard susceptibility ; spatial distribution ; ZTEM ; 2D forward modeling ; inversion ; parallel algorithm ; tipper ; disaster precursor identification ; early warning ; association rule mining ; particle swarm optimization ; k-means clustering ; Apriori algorithm ; gray relation analysis ; transformer ; photovoltaic power forecasting ; satellite images ; LICOM ; meteorological model ; parallel optimization ; time series ; missing data ; tensor completion ; autoregressive norm ; displacement prediction ; GeoMAN model ; gross primary productivity ; attention mechanism ; interdisciplinary ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 77
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR
    Schlagwort(e): TA1-2040 ; T1-995 ; n/a ; FPGA ; recurrence plot (RP) ; residual learning ; neural networks ; driver monitoring ; navigation ; depthwise separable convolution ; optimization ; dynamic path-planning algorithms ; object tracking ; sub-region ; cooperative systems ; convolutional neural networks ; DSRC ; VANET ; joystick ; road scene ; convolutional neural network (CNN) ; multi-sensor ; p-norm ; occlusion ; crash injury severity prediction ; deep leaning ; squeeze-and-excitation ; electric vehicles ; perception in challenging conditions ; T-S fuzzy neural network ; total vehicle mass of the front vehicle ; electrocardiogram (ECG) ; communications ; generative adversarial nets ; camera ; adaptive classifier updating ; Vehicle-to-X communications ; convolutional neural network ; predictive ; Geobroadcast ; infinity norm ; urban object detector ; machine learning ; automated-manual transition ; red light-running behaviors ; photoplethysmogram (PPG) ; panoramic image dataset ; parallel architectures ; visual tracking ; autopilot ; ADAS ; kinematic control ; GPU ; road lane detection ; obstacle detection and classification ; Gabor convolution kernel ; autonomous vehicle ; Intelligent Transport Systems ; driving decision-making model ; Gaussian kernel ; autonomous vehicles ; enhanced learning ; ethical and legal factors ; kernel based MIL algorithm ; image inpainting ; fusion ; terrestrial vehicle ; driverless ; drowsiness detection ; map generation ; object detection ; interface ; machine vision ; driving assistance ; blind spot detection ; deep learning ; relative speed ; autonomous driving assistance system ; discriminative correlation filter bank ; recurrent neural network ; emergency decisions ; LiDAR ; real-time object detection ; vehicle dynamics ; path planning ; actuation systems ; maneuver algorithm ; autonomous driving ; smart band ; the emergency situations ; two-wheeled ; support vector machine model ; global region ; biological vision ; automated driving ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 78
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-06-21
    Beschreibung: This reprint introduces advanced prediction models focused on power load forecasting. Models based on artificial intelligence and more traditional approaches are shown, demonstrating the real possibilities of use to improve prediction in this field. Models of LSTM neural networks, LSTM networks with a SESDA architecture, in even LSTM-CNN are used. On the other hand, multiple seasonal Holt-Winters models with discrete seasonality and the application of the Prophet method to demand forecasting are presented. These models are applied in different circumstances and show highly positive results. This reprint is intended for both researchers related to energy management and those related to forecasting, especially power load.
    Schlagwort(e): Prophet model ; Holt–Winters model ; long-term forecasting ; peak load ; prophet model ; multiple seasonality ; time series ; demand ; load ; forecast ; DIMS ; irregular ; galvanizing ; short-term electrical load forecasting ; machine learning ; deep learning ; statistical analysis ; parameters tuning ; CNN ; LSTM ; short-term load forecast ; Artificial Neural Network ; deep neural network ; recurrent neural network ; attention ; encoder decoder ; online training ; bidirectional long short-term memory ; multi-layer stacked ; neural network ; short-term load forecasting ; power system ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 79
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-09-11
    Beschreibung: This second Special Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensors allowing the gathering of necessary data.
    Schlagwort(e): abnormal gait behavior ; OpenPose ; machine learning ; XGBoost ; random forest ; horse locomotion ; training effect ; inertial measurement units ; sports technology ; football ; motion analysis ; IMU ; trajectory reconstruction ; human-computer interactive ; data glove ; virtual hand ; emotion driven ; test ; visual tracking ; Siamese tracker ; tracking drift ; background clutter ; deep learning ; surgical skills assessment ; computer vision ; surgical education ; biomedical engineering ; multi-modal ; human activity recognition ; markerless ; RGB-D ; general movements ; infant movement analysis ; movement disorders ; surface electromyography ; forearm amputee ; hand posture ; visual feedback training ; pattern recognition ; artificial neural network ; hand gesture recognition ; electromyography ; inertial measurement unit ; reinforcement learning ; deep Q-network ; extreme learning machine ; force myography ; grasshopper optimization algorithm ; k-tournament selection ; frequency emphasis ; ensemble learning ; sign language recognition ; gloss prediction ; transformer ; pose-based approach ; pose estimation ; emotion judgment system ; adaptive interactive game ; set of optimal signal features ; sensor ; MARG ; MIMU ; orientation estimation ; sensor fusion algorithm ; dataset ; orientation algorithm benchmarking ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 80
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-09-11
    Beschreibung: This reprint includes 14 articles in Biomedical Data Science in honor of Professor Philip Bourne. Contributed by world-renowned experts, these articles cover a broad range of topics in machine learning, biophysics, bioinformatics, and systems biology.
    Schlagwort(e): structure-based drug discovery ; ligand binding sites ; deep learning ; graph neural network ; CRISPR/Cas9 ; genome editing ; machine learning ; SHAP values ; binding energy ; off-targets ; drug discovery ; retrosynthesis ; reaction template ; recurrent neural network ; and graph neural network ; mutational signatures ; smoking ; lung cancers ; APOBEC ; immune response to smoking ; cell-type composition ; goblet cells ; ciliated cells ; basal cells ; Protein Data Bank ; Open Access ; Worldwide Protein Data Bank ; macromolecular crystallography ; cryogenic electron microscopy ; cryogenic electron tomography ; electron crystallography ; micro-electron diffraction ; nuclear magnetic resonance spectroscopy ; biological macromolecules ; proteins ; nucleic acids ; DNA ; RNA ; carbohydrates ; small-molecule ligands ; social determinants of health ; electronic health records ; real-world evidence ; census tract ; data science ; protein database ; search tool ; prioritization algorithm ; drug repositioning ; quantum machine learning ; quantum metric learning ; kernel method ; kernel classifiers ; structural bioinformatics ; function annotation ; specificity annotation ; MSA ; entropy ; variability ; amino acids ; Philip Bourne ; FAIR ; bioinformatics ; n/a ; protein kinases ; functional families ; KinFams ; KinBase classification ; large language models ; pharmacovigilance ; social media ; drugs of abuse ; DNA sequencing ; read classification ; metagenomics ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 81
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.
    Schlagwort(e): multi-objective evolutionary algorithms ; rule-based classifiers ; interpretable machine learning ; categorical data ; hand sign language ; deep learning ; restricted Boltzmann machine (RBM) ; multi-modal ; profoundly deaf ; noisy image ; ensemble methods ; adaptive classifiers ; recurrent concepts ; concept drift ; stock price direction prediction ; toe-off detection ; gait event ; silhouettes difference ; convolutional neural network ; saliency detection ; foggy image ; spatial domain ; frequency domain ; object contour detection ; discrete stationary wavelet transform ; attention allocation ; attention behavior ; hybrid entropy ; information entropy ; single pixel single photon image acquisition ; time-of-flight ; action recognition ; fibromyalgia ; Learning Using Concave and Convex Kernels ; Empatica E4 ; self-reported survey ; speech emotion recognition ; 3D convolutional neural networks ; k-means clustering ; spectrograms ; context-aware framework ; accuracy ; false negative rate ; individual behavior estimation ; statistical-based time-frequency domain and crowd condition ; emotion recognition ; gestures ; body movements ; Kinect sensor ; neural networks ; face analysis ; face segmentation ; head pose estimation ; age classification ; gender classification ; singular point detection ; boundary segmentation ; blurring detection ; fingerprint image enhancement ; fingerprint quality ; speech ; committee of classifiers ; biometric recognition ; multimodal-based human identification ; privacy ; privacy-aware ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 82
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-11-17
    Beschreibung: The use of robots in marine and underwater applications is growing rapidly. These applications share the common requirement of modeling the environment and estimating the robots’ pose. Although there are several mapping, SLAM, target detection and localization methods, marine and underwater environments have several challenging characteristics, such as poor visibility, water currents, communication issues, sonar inaccuracies or unstructured environments, that have to be considered. The purpose of this Special Issue is to present the current research trends in the topics of underwater localization, mapping, SLAM, and target detection and localization. To this end, we have collected seven articles from leading researchers in the field, and present the different approaches and methods currently being investigated to improve the performance of underwater robots.
    Schlagwort(e): underwater acoustic signal processing ; channel model ; signal enhancement ; signal denoising ; passive detection ; underwater localization ; electric field ; subspace scanning ; meta-EP PSO ; multi robot ; Simultaneous Localization and Mapping ; visual loop closure ; image global signatures ; sonar ; underwater robotics ; acoustic image segmentation ; neural network ; robust adaptive beamforming ; steering vector mismatch ; interference-plus-noise covariance matrix ; array errors ; point cloud segmentation ; deep learning ; pipe and valve recognition ; underwater perception ; computer vision ; autonomous navigation ; range sensing ; inspection and maintenance ; 3D vision ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 83
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-10-25
    Beschreibung: The present book contains ten articles illustrating the different possible uses of UAVs and satellite remotely sensed data integration in Geographical Information Systems to model and predict changes in both the natural and the human environment. It illustrates the powerful instruments given by modern geo-statistical methods, modeling, and visualization techniques. These methods are applied to Arctic, tropical and mid-latitude environments, agriculture, forest, wetlands, and aquatic environments, as well as further engineering-related problems. The present Special Issue gives a balanced view of the present state of the field of geoinformatics.
    Schlagwort(e): mosaicking ; urban image ; seamline determination ; deep learning ; D-LinkNet ; climate change ; evergreen plants ; extreme events ; flavonol and chlorophyll sensor (Dualex) ; greenness indices ; mosses ; near-remote sensing active and passive NDVI sensors ; Sentinel-2 ; subarctic vegetation damage ; crop growth ; reflectance saturation ; crop model ; assimilation ; crop growth stage ; method combinations ; sentinel-2A image ; UAV image ; remote sensing ; soil salinity ; Love/Shida numbers ; satellite laser ranging (SLR) ; Yarragadee station ; Mount Stromlo station ; LAGEOS ; STELLA ; STARLETTE satellites ; SLR stations coordinates ; ITRF2014 ; Lake Ladoga ; CMEMS GlobColour CHL-OC5 ; eutrophication ; water quality assessment ; pulp and paper mill ; ecological status ; phytoplankton and chlorophyll-a ; chemical wastewater pollution ; ArcGIS ; big data ; blueberries ; image analysis ; orthomosaics ; segmentation refinement ; UAVs ; HAPS ; UAV ; monitoring ; constrained multiple objective optimization ; temporal hierarchical task planning ; GNSS stations ; tectonic plate motion parameters ; ITRF ; vegetation monitoring ; drivers of deforestation ; Zambezi region ; land degradation ; vegetation cover change ; wildlife management ; TSS-RESTREND ; greening and browning ; MODIS ; Mann–Kendall ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 84
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: The number of patient health data has been estimated to have reached 2314 exabytes by 2020. Traditional data analysis techniques are unsuitable to extract useful information from such a vast quantity of data. Thus, intelligent data analysis methods combining human expertise and computational models for accurate and in-depth data analysis are necessary. The technological revolution and medical advances made by combining vast quantities of available data, cloud computing services, and AI-based solutions can provide expert insight and analysis on a mass scale and at a relatively low cost. Computational intelligence (CI) methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods, have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice. CI-based systems can learn from data and evolve according to changes in the environments by taking into account the uncertainty characterizing health data, including omics data, clinical data, sensor, and imaging data. The use of CI in healthcare can improve the processing of such data to develop intelligent solutions for prevention, diagnosis, treatment, and follow-up, as well as for the analysis of administrative processes. The present Special Issue on computational intelligence for healthcare is intended to show the potential and the practical impacts of CI techniques in challenging healthcare applications.
    Schlagwort(e): sEMG ; deep learning ; neural networks ; gait phase ; classification ; everyday walking ; convolutional neural network ; CRISPR ; leukemia nucleus image ; segmentation ; soft covering rough set ; clustering ; machine learning algorithm ; soft computing ; multistage support vector machine model ; multiple imputation by chained equations ; SVM-based recursive feature elimination ; unipolar depression ; diabetic retinopathy (DR) ; pre-trained deep ConvNet ; uni-modal deep features ; multi-modal deep features ; transfer learning ; 1D pooling ; cross pooling ; IMU ; gait analysis ; long-term monitoring ; multi-unit ; multi-sensor ; time synchronization ; Internet of Medical Things ; body area network ; MIMU ; early detection ; sepsis ; evaluation metrics ; machine learning ; medical informatics ; feature extraction ; physionet challenge ; electrocardiogram ; Premature ventricular contraction ; sparse autoencoder ; unsupervised learning ; Softmax regression ; medical diagnosis ; artificial neural network ; e-health ; Tri-Fog Health System ; fault data elimination ; health status prediction ; health status detection ; health off ; diffusion tensor imaging ; ensemble learning ; decision support systems ; healthcare ; computational intelligence ; Alzheimer’s disease ; fuzzy inference systems ; genetic algorithms ; next-generation sequencing ; ovarian cancer ; interpretable models ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 85
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-02-24
    Beschreibung: The book, “Optimization and Energy Maximizing Control Systems for Wave Energy Converters”, presents eleven contributions on the latest scientific advancements of 2020-2021 in wave energy technology optimization and control, including holistic techno-economic optimization, inclusion of nonlinear effects, and real-time implementations of estimation and control algorithms.
    Schlagwort(e): wave energy ; wave energy converter ; PeWEC ; techno-economic optimisation ; genetic algorithm ; cost of energy ; CaPex ; CWR ; arrays ; experiments ; wave tank ; scale test ; point absorber ; array optimization ; energy-maximising control ; optimal control ; impedance-matching ; renewable energy systems ; paramertic resonance ; wave energy conversion ; real-time detection ; recursive least squares ; Kalman Filter ; Neural Network ; wave excitation forces ; estimation ; Optimal Control ; Wave Energy Converter ; control ; reinforcement learning ; deep reinforcement learning ; deep learning ; adaptive control ; wave energy converters ; spectral control ; power take-off ; WECs ; size optimization ; techno-economic performance ; PTO sizing ; causal control ; Model Predictive Control ; wave-energy converter ; absorbed power ; nonlinear model predictive control ; two degrees of freedom wave energy converter ; nonlinear hydrodynamics ; nonlinear power take-off ; nonlinear model ; Froude-Krylov force ; sliding mode control ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 86
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-01-31
    Beschreibung: The name of Joseph Fourier is also inseparable from the study of the mathematics of heat. Modern research on heat equations explores the extension of the classical diffusion equation on Riemannian, sub-Riemannian manifolds, and Lie groups. In parallel, in geometric mechanics, Jean-Marie Souriau interpreted the temperature vector of Planck as a space-time vector, obtaining, in this way, a phenomenological model of continuous media, which presents some interesting properties.
    Schlagwort(e): Q1-390 ; QC1-999 ; entanglement indicators ; generalized uncertainty principle ; Tsallis entropy ; linear entropy ; quantum-classical relationship ; Wigner–Yanase–Dyson skew information ; deep learning ; spinors in quantum and classical physics ; quantum mechanics ; entropy ; original Bell inequality ; Bohmian dynamics ; qudit states ; square integrable ; uncertainty relation ; quantum bound ; uncertainty relations ; foundations of quantum mechanics ; Born probability rule ; Rényi entropy ; energy quantization ; quantum foundations ; Born rule ; measure of classicality ; minimal observable length ; quantum information ; Kochen–Specker theorem ; neuromorphic computing ; bell inequalities ; successive measurements ; Gleason theorem ; continuous variables ; quantum memory ; perfect correlation/anticorrelation ; quantum trajectory ; quantum computing ; high performance computing ; Quantum Hamilton-Jacobi Formalism ; quantum uncertainty
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 87
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-28
    Beschreibung: This reprint covers the following topics in the field of smart grids: 1. Optimal dg location and sizing to minimize losses and improve the voltage profile using garra rufa optimization. 2. Solar and wind energy forecasting for the green and intelligent migration of traditional energy sources. 3. Optimized micro-grid’s operation with electrical-vehicle-based hybridized sustainable algorithm. 4. The detection of nontechnical losses in smart meters using a MLP-GRU deep model and augmenting data via theft attacks. 5. A hybrid deep-learning-based model for the detection of electricity losses using big data in power systems. 6. Load frequency control and automatic voltage regulation in a multi-area interconnected power system using nature-inspired computation-based control methodology. 7. Line overload alleviations in wind energy integrated power systems using automatic generation control. 8. Electric price and load forecasting using a CNN-based ensembler in a smart grid. 9. Day-ahead energy forecasting in a smart grid considering the demand response and microgrids. 10. A dragonfly optimization algorithm for extracting the maximum power of grid-interfaced pv systems. 11. An economic load dispatch problem with multiple fuels and valve point effects using a hybrid genetic–artificial fish swarm algorithm. 12. Incentive-based dynamic pricing in a smart grid.
    Schlagwort(e): demand side management ; demand response ; load scheduling ; real time pricing ; genetic algorithm ; dynamic incentives ; artificial fish swarm algorithm ; economic load dispatch ; hybrid genetic–artificial fish swarm algorithm ; multi-objective optimization ; sustainable power generating system ; photovoltaic (PV) ; partial shading ; maximum power point tracking (MPPT) ; dragonfly optimization algorithm (DOA) ; adaptive cuckoo search optimization (ACSO) ; fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN) ; improved particle swarm optimization (IPSO) ; voltage source inverter (VSI) ; total harmonic distortion (THD) ; energy optimization ; day ahead energy prediction ; artificial neural network ; renewable energy sources ; microgrid ; smart grid ; electricity price forecasting ; energy management ; electricity load forecasting ; convolutional neural network ; corona virus herd immunity optimization ; sustainable cities ; requirement-gathering tool ; qualitative comparison ; requirement engineering ; software engineering ; requirement-management tools ; automatic generation control ; wind energy ; transmission line security ; dispatch strategies ; Pakistan power system ; PI-PD controller ; load frequency control ; automatic voltage regulator ; nature-inspired optimization ; multi-area interconnected power system ; class imbalance ; gated recurrent units ; electricity theft detection ; non-technical losses ; smart grids ; deep learning ; GRU ; healthcare ; MLP ; PRECON ; smart cities ; smart meters ; sustainable society ; electric vehicles ; flexible load ; optimization ; renewable energy ; forecasting ; machine learning ; energy efficiency ; sustainability ; low carbon emission ; distribution generation ; Garra Rufa ptimization ; PSO ; GA ; power system ; urban sustainability ; local growth ; regional cities ; cultural heritage ; real estate ; intelligent regions ; innovation systems ; circular economy ; regional policies ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 88
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-27
    Beschreibung: This book compiles a set of original and innovative papers included in the Special Issue on UAVs for vegetation monitoring, which proves the wide scope of UAVs in very diverse vegetation applications, both in agricultural and forestry scenarios, ranging from the characterization of relevant vegetation features to the detection of plant or crop stressors. New methods and techniques are developed and applied to diverse vegetation scenarios to meet the main challenge of sustainability.
    Schlagwort(e): UAS ; UAV ; vegetation cover ; multispectral ; land cover ; forest ; Acacia ; Indonesia ; tropics ; vegetation ground cover ; vegetation indices ; agro-environmental measures ; olive groves ; southern Spain ; sUAS ; water stress ; ornamental ; container-grown ; artificial intelligence ; machine learning ; deep learning ; neural network ; visual recognition ; precision agriculture ; canopy cover ; image analysis ; crop mapping ; evapotranspiration (ET) ; GRAPEX ; remote sensing ; Two Source Energy Balance model (TSEB) ; contextual spatial domain/resolution ; data aggregation ; eddy covariance (EC) ; Fusarium wilt ; crop disease ; banana ; multispectral remote sensing ; purple rapeseed leaves ; unmanned aerial vehicle ; U-Net ; plant segmentation ; nitrogen stress ; Glycine max ; RGB ; canopy height ; close remote sensing ; growth model ; curve fitting ; NDVI ; solar zenith angle ; flight altitude ; time of day ; operating parameters ; CNN ; Faster RCNN ; SSD ; Inception v2 ; patch-based CNN ; MobileNet v2 ; detection performance ; inference time ; disease detection ; cotton root rot ; plant-level ; single-plant ; plant-by-plant ; classification ; UAV remote sensing ; crop monitoring ; RGB imagery ; multispectral imagery ; century-old biochar ; semantic segmentation ; random forest ; crop canopy ; multispectral image ; chlorophyll content ; remote sensing technique ; individual plant segmentation ; plant detection ; transfer learning ; maize tassel ; tassel branch number ; convolution neural network ; VGG16 ; plant nitrogen estimation ; vegetation index ; image segmentation ; transpiration ; method comparison ; oil palm ; multiple linear regression ; support vector machine ; artificial neural network ; UAV hyperspectral ; wheat yellow rust ; disease monitoring ; texture ; spatial resolution ; RGB camera ; thermal camera ; drought tolerance ; forage grass ; HSV ; CIELab ; broad-sense heritability ; phenotyping gap ; high throughput field phenotyping ; UAV digital images ; winter wheat biomass ; multiscale textures ; red-edge spectra ; least squares support vector machine ; variable importance ; drone ; hyperspectral ; thermal ; nutrient deficiency ; weed detection ; disease diagnosis ; plant trails ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 89
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-01-08
    Beschreibung: Biomedical sensors stand at the forefront of modern medical technologies, serving as indispensable components in diverse instruments and equipment. These sensors unravel the intricacies of biological processes and medical interventions. The recent surge in high-density sensor systems, characterized by arrangements in matrix arrays and other configurations, has ushered in a new era of functional evaluation. This spans electrophysiological activity, the metabolic responses of organs and tissues, and motor control analysis, all enriched with crucial spatial information. Functional mapping, a burgeoning approach in various biomedical techniques such as EEG, EMG, ECG, NIRS, and MEG, is proving to be transformative. Its integration enhances our comprehension of complex biological behaviors, where the precise spatial localization of sensing methodologies becomes paramount. The applications of functional mapping using biomedical sensors extend across multiple fields, including neuroscience, neuromuscular physiology, rehabilitation, and cardiology. Its utility ranges from diagnostic purposes to assessing the effectiveness of therapeutic interventions. The primary objective of this reprint was to collect papers that delineate the forefront of techniques, methods, and applications in the realm of biomedical sensors. Additionally, the focus extends to specific algorithms for data processing, ensuring a robust understanding of functional information intricately associated with spatial localization.
    Schlagwort(e): EMG ; EEG ; rehabilitation ; neuromotor ; evaluation ; assessment ; review ; machine learning ; biofeedback ; transfer learning ; random forest classifier ; COVID-19 ; intubation ; tracheoesophageal fistula ; tracheal lesions ; acute respiratory distress syndrome ; modeling ; intensive care unit ; muscle synergies ; whole body FES ; neurological patients ; photodynamic therapy ; fluorescence ; laser ; fluorophores ; enamel ; effective connectivity ; kurtosis ; resting-state connectivity ; stationarity ; sleep monitoring ; pressure bed sensor (PBS) ; unobtrusive measure ; multi-scale analysis ; sleep apnea–hypopnea syndrome (SAHS) ; shift-working ; optically detected magnetic resonance ; quantum magnetometer ; magnetoencephalography ; time domain ; functional near infrared spectroscopy ; diffuse optics ; brain ; hemodynamics ; resting-state brain oscillation ; mental workload ; signal processing ; reliability ; cognitive performance ; Simon task ; emotion detection ; valence ; arousal ; wearable sensors ; regression ; classification ; technology acceptance model ; rehabilitation exoskeletons ; therapists ; neuro-rehabilitation ; multiple linear regression ; Pearson’s correlation ; integrated sensor systems ; hand function ; hand osteoarthritis ; electromyography ; diagnosis ; discriminant analysis ; photoplethysmogram ; microcirculation ; deep learning ; convolutional neural network ; modelling ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 90
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: The present reprint contains 33 articles accepted and published in the Special Issue entitled “Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics, 2022” in the MDPI journal, Mathematics, which covers a wide range of topics connected to the theory and applications of feature representation learning for image processing, artificial intelligence, data mining and robotics. These topics include, among others, elements from image blurring, image aesthetic quality assessment, pedestrian detection, visual tracking, vehicle re-identification, face recognition, 3D reconstruction, the stability of switched systems, domain adaption, deep reinforcement, sentiment analysis, graph convolutional networks, knowledge graphs, geometric metric learning, etc. It is hoped that this reprint will be interesting and useful for those working in the area of image processing, computer vision, machine learning, natural language processing and robotics, as well as for those with backgrounds in machine learning who are willing to become familiar with recent advancements in artificial intelligence, which, today, is present in almost all aspects of human life and activities.
    Schlagwort(e): head detection ; YoloV4 ; NMS ; soft-NMS ; people counting ; vehicle re-identification ; license plate recognition ; video surveillance ; feature extraction ; pedestrian detection ; machine learning ; end-to-end ; anchor-free ; feature reuse ; correlation filters ; second-order fitting ; visual tracking ; DCNN-BiLSTM ; domain adaptation ; MMD ; fine-tuning ; C-MAPSS ; cross-working ; small sample ; blind image deblurring ; image prior ; sparse channel ; sparsity ; multi-output ; kNN ; metric learning ; cost-weighted ; geometric mean metric ; motion deblurring ; image super-resolution ; multi-order attention ; gated learning ; decoupling ; face recognition ; second-order gradient ; image gradient orientations ; collaborative-representation-based classification ; image aesthetic assessment ; semi-supervised learning ; label propagation ; deep learning ; computer vision ; garbage quantity identification ; YOLOX ; Soft-NMS ; stability ; switched system ; state-dependent switching ; time delay ; multi-source domain adaptation ; Dempster–Shafer evidence theory ; cross-domain classification ; 3D reconstruction ; multi-view stereo ; structure from motion ; background matting ; adversarial example ; feature transformation ; black-box attack ; ensemble attack ; deep neural network ; intelligent design ; data analysis ; models and algorithms ; extension theory ; scheme design ; adversarial learning ; adversarial equilibrium ; transferability quantification ; power load forecasting ; routing, modulation and spectrum assignment ; elastic optical networks ; deep reinforcement learning ; knowledge distillation ; aspect-based sentiment analysis ; graph neural networks ; dependency trees ; dependency types ; graph attention mechanism ; syntactic ; semantic ; vehicle color recognition ; low–high level joint task ; object detection ; joint semantic learning ; rainy image recovery ; XSS attack ; traffic detection ; payloads ; fusion verification ; hypergraph matching ; similarity metric ; information-theoretic metric learning ; mixed noise removal ; matrix nuclear norm ; logarithm norm ; ADMM ; plug-and-play ; aspect-level sentiment classification ; external knowledge ; KGE ; GCN ; discriminative feature learning ; multidimensional scaling ; fuzzy k-means ; pairwise constraint propagation ; iterative majorization algorithm ; Aspect Level Sentiment Classification ; Contrasitve Learning ; Graph Convolutional Networks ; graph convolutional networks ; commonsense knowledge graph ; anomaly detection ; cyber–physical ; industrial control systems ; image classification ; large-margin technique ; robustness ; anti-noise performance ; cross-domain sentiment classification ; word embedding ; GAT ; hate speech detection ; contrastive learning ; multi-task learning ; attention mechanism ; state reconstruction ; gait adjustment ; uncertain temporal knowledge graph ; temporal knowledge graph ; knowledge graph embedding ; confidence score ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 91
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-09-11
    Beschreibung: Research performed on robotic applications has significantly expanded in the last decade, and currently, robotic systems are being utilized for many purposes. To achieve this generalized application of robots, researchers have endeavoured to study a wide variety of methods and algorithms in order to properly employ robotic systems in many real-life scenarios. At present, many types of robotic platforms are being employed in various applications, e.g., dual-arm robots, parallel robots, mobile robots, humanoid robots, aerial robots, underwater robots, and micro/nano robots. Moreover, some theoretical tools are specially being used to obtain correct robot performance, e.g., machine learning, artificial intelligence, multi-agent systems, and control and planning theory. The purpose of this reprint is to exhibit the current state of robotic applications. In particular, in addition to introducing novel theories and methods, this reprint is particularly focused on the application of robotic systems in real-life situations. Thus, the presentation of experimental results makes evident the feasibility and usefulness of robotic systems in practical cases. Obviously, this reprint does not intend to exhaustively demonstrate all the current existing robotic applications but rather give an overview of them, revealing the high level of activity in this area. This reprint contains an Editorial, together with 30 contributions in total from countries all around the world, addressing a broad range of robotic applications.
    Schlagwort(e): 6D pose estimation ; learning-based approach ; 2D-information-based approach ; 3D-information-based approach ; textureless and reflective objects ; foreground occlusion ; background clutter ; automated parking system ; fuzzy comprehension evaluation ; Floyd algorithm ; human-operated vehicle ; autonomous vehicle ; agriculture ; cooperative robots ; key technology ; control ; humanoid and bipedal locomotion ; legged robots ; passive walking ; foot placement estimation ; nonprehensile manipulation ; robotic batting ; high-speed object manipulation ; ball recognition ; trajectory estimation ; motion control ; weighted least square ; mobile robot ; formation ; motion coordination ; attitude observer ; trajectory tracking ; path tracking ; compliance control ; human–robot interaction ; sliding mode controller ; manual guidance ; path planning ; pure pursuit controller ; deep learning ; robot kidnapping detection ; autonomous navigation ; topological mapping ; field robotics ; mining automation ; robotic assembly ; deep neural networks ; peg-in-hole ; dual-arm ; human–robot collaboration ; assembly task ; user studies ; user preferences ; quality of task execution ; usability ; autonomous loading system ; manipulator motion planning ; manipulability ; stochastic planner ; robotics ; service robots ; healthcare robots ; robot-as-a-service ; smart cities ; AGV ; AMR ; industrial robots ; collaborative robots ; machine learning in robotics ; computer vision ; system identification ; flapping-wing micro air vehicle ; longitudinal mode ; model refinement ; gray box model ; onboard sensors ; robot calibration ; robot remastering ; calibration uncertainty ; part probing ; uncertainty reduction ; sensor feedback ; nanoelectromechanical system (NEMS) ; nanorobots ; ion channel Kv10.1 ; mathematical modeling ; control algorithm ; pose estimation ; 3D reconstruction ; charuco cuboid ; pediatric stroke ; upper limb ; hand rehabilitation ; device ; Gloreha Sinfonia ; case report ; robot system ; augmented reality ; robot teleoperation ; face recognition ; face tracking ; face detection ; face alignment ; person identification ; intelligent robots ; interactive systems ; time-of-flight ; lidar ; field of view redirection ; passive redirection ; clean mirror ; dusted mirror ; prism ; robot-assisted laparoscopic surgery ; surgical robot ; da Vinci Research Kit ; IoT ; multiple object tracking ; MOT ; self-driving ; SLAM ; KITTI ; MOTChallenges ; MOT15 ; MOT16 ; MOT17 ; UA_DETRAC ; symmetry ; sit-to-stand ; elevation angle ; coordination ; backpropagation ; optimization methods ; inverse kinematics ; bipedal robot ; bio-inspired design ; simulation ; model-based design ; LIPM ; passive walker ; Unmanned aerial vehicles (UAVs) ; detection technologies ; radio frequency-based (RF) ; radar ; acoustic ; electro optical ; hybrid fusion ; controller detection ; bird song ; soundscape ; ecoacoustics ; sound source localization ; robot audition ; HARK ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 92
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: Deep learning has been revolutionizing many fields in computer vision, and facial informatics is one of the major fields. Novel approaches and performance breakthroughs are often reported on existing benchmarks. As the performances on existing benchmarks are close to saturation, larger and more challenging databases are being made and considered as new benchmarks, further pushing the advancement of the technologies. Considering face recognition, for example, the VGG-Face2 and Dual-Agent GAN report nearly perfect and better-than-human performances on the IARPA Janus Benchmark A (IJB-A) benchmark. More challenging benchmarks, e.g., the IARPA Janus Benchmark A (IJB-C), QMUL-SurvFace and MegaFace, are accepted as new standards for evaluating the performance of a new approach. Such an evolution is also seen in other branches of face informatics. In this Special Issue, we have selected the papers that report the latest progresses made in the following topics: 1. Face liveness detection 2. Emotion classification 3. Facial age estimation 4. Facial landmark detection We are hoping that this Special Issue will be beneficial to all fields of facial informatics.
    Schlagwort(e): deep learning ; RGB ; depth ; facial landmarking ; merging networks ; 3D geometry data ; 2D attribute maps ; fused CNN feature ; coarse-to-fine ; convolutional neural network (CNN) ; deep metric learning ; multi-task learning ; image classification ; age estimation ; generative adversarial network ; emotion classification ; facial key point detection ; facial images processing ; convolutional neural networks ; face liveness detection ; convolutional neural network ; thermal image ; external knowledge ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 93
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-27
    Beschreibung: Natural hazard events and technological accidents are separate causes of environmental impacts. Natural hazards are physical phenomena active in geological times, whereas technological hazards result from actions or facilities created by humans. In our time, combined natural and man-made hazards have been induced. Overpopulation and urban development in areas prone to natural hazards increase the impact of natural disasters worldwide. Additionally, urban areas are frequently characterized by intense industrial activity and rapid, poorly planned growth that threatens the environment and degrades the quality of life. Therefore, proper urban planning is crucial to minimize fatalities and reduce the environmental and economic impacts that accompany both natural and technological hazardous events.
    Schlagwort(e): landslide monitoring ; early warning ; emergency management ; dissemination ; urbanized areas ; benefit evaluation ; gray correlation method ; soil erosion ; soil physical properties ; earthquake fatalities ; deep learning ; random forest ; feature importance ; structure type ; flash flood ; driving factor ; sensitivity analysis ; subregion of landcover ; Yunnan Province ; flood risk ; Bayesian networks ; integrated index for flood risk assessment ; WSN ; pipeline leakage ; human-induced sinkhole ; leakage detection ; sewer pipeline ; sensors ; highway waterfall ice ; ground water ; mathematical model ; formation mechanism ; natural hazards ; multi-agent system ; emergency relief ; public participation ; contamination indices ; geo-accumulation factor ; heavy metals ; GIS ; hazard ; social vulnerability ; hydrological and hydrodynamic model ; analytic hierarchy process ; fuzzy Delphi ; Athens metropolitan area ; urban fires ; analytical hierarchy process ; flooding ; structural vulnerability ; seismicity ; Wastewater Treatment Plants ; sustainability ; Ioannina polje ; soil quality ; agricultural soil ; aircraft emissions ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 94
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-30
    Beschreibung: The delicate balance of resource intensity and efficiency of a solution for a very complex problem raises the issue of how these aspects constitute a symmetrical or asymmetrical system. Computational Intelligence (CI) offers a plethora of efficient tools for the potential and rather good quality solution of highly complex, often mathematically intractable problems. This "toolbox" is one of the best examples for the study of the above mentioned issue, namely, how to find the best balance, how to establish a symmetry of weights or costs in a particular field, for a particular problem. This special issue presents a number of interesting novel applications of CI for the tackling of a wide variety of difficult problems. The Introduction gives a short insight into the symmetry and asymmetry aspect of the topic.
    Schlagwort(e): lung nodule segmentation ; 3D-UNet ; 3D-Res2UNet ; multi-scale features ; deep learning ; butterfly optimization algorithm (BOA) ; particle swarm optimization (PSO) ; cubic map ; nonlinear ; high dimension ; extensional fuzzy numbers ; MI-algebras ; similarity ; arithmetics of fuzzy numbers ; orderings ; fuzzy interpolation ; economic data ; air defense system ; artificial immune system ; command and control ; learning classifier system ; multi-agent systems ; weapon-target assignment ; energy optimization ; genetic algorithms ; multi-objective optimization ; artificial neural network simulator ; artificial intelligence ; artificial bee colony algorithm ; global optimization ; neural network ; nonlinear static system ; behavioural finance ; imprecision ; oriented fuzzy number ; oriented present value ; oriented return ; S-divergence ; S-distance ; spectral clustering ; text summarization ; recurrent neural network ; embedding ; dynamic memory network ; fuzzy-rough cognitive network ; fuzzy cognitive map ; granular computing ; fuzzy-rough sets ; stability ; convergence ; discrete bacterial memetic evolutionary algorithm ; simulated annealing ; flow shop scheduling problem ; global sensitivity analysis ; Sobol procedure ; fast algorithm ; convolutional neural network ; structure reduction ; pruning ; quality ; feature selection ; machine learning ; asexual ; genetic algorithm ; android malicious application detection ; bees algorithm ; training deep neural networks ; metaheuristics ; opinion mining ; recurrent neural networks ; sentiment classification ; natural language processing ; data augmentation ; fine-tuning ; generative models ; StyleGAN ; transfer learning ; present value ; discount factor ; portfolio ; finance ; optimization ; tourist trip design ; vehicle routing ; key performance indicator (KPI) ; anomaly detection ; variational auto-encoder (VAE) ; support vector data description (SVDD) ; FMEA ; Fuzzy Logic ; greenhouse gases ; blockchain ; difficulty adjustment ; proof-of-work ; ANN ; AlexNet ; COVID-19 ; TSA ; commonsense ; knowledge graph ; linguistic terms ; language models ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 95
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-05-06
    Beschreibung: This book is about JIDOKA, a Japanese management technique coined by Toyota that consists of imbuing machines with human intelligence. The purpose of this compilation of research articles is to show industrial leaders innovative cases of digitization of value creation processes that have allowed them to improve their performance in a sustainable way. This book shows several applications of JIDOKA in the quest towards an integration of human and AI within Industry 4.0 Cyber Physical Manufacturing Systems. From the use of artificial intelligence to advanced mathematical models or quantum computing, all paths are valid to advance in the process of human–machine integration.
    Schlagwort(e): healthy operator 4.0 ; human–cyber–physical system ; industrial internet of things ; industry 4.0 ; smart workplaces ; EEG sensors ; manufacturing systems ; shopfloor management ; machine learning ; deep learning ; reference architecture model ; interoperability ; digital twin ; distributed ledger technology ; GDPR ; RAMI 4.0 ; LASFA ; quantum computing ; strategic organizational design ; Industry 4.0 ; complex networks ; cyber-physical systems ; lean management systems ; quantum strategic organizational design ; quantum circuits ; quantum simulation ; JIDOKA ; Operator 4.0 ; process variability ; integration explaining variability ; quantum approximate optimization algorithm ; value–stream networks ; optimization ; maintenance interval ; maintenance model ; semi-Markov process ; right-censored data ; finite horizon ; maintenance cost ; Cyber-Physical Systems ; Lean Manufacturing ; Directed Acyclic Graphs ; scikit-learn ; pipegraph ; machine learning models ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 96
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-11-17
    Beschreibung: This Special Issue, entitled "Women in Artificial Intelligence" includes 17 papers from leading women scientists. The papers cover a broad scope of research areas within Artificial Intelligence, including machine learning, perception, reasoning or planning, among others. The papers have applications to relevant fields, such as human health, finance, or education. It is worth noting that the Issue includes three papers that deal with different aspects of gender bias in Artificial Intelligence. All the papers have a woman as the first author. We can proudly say that these women are from countries worldwide, such as France, Czech Republic, United Kingdom, Australia, Bangladesh, Yemen, Romania, India, Cuba, Bangladesh and Spain. In conclusion, apart from its intrinsic scientific value as a Special Issue, combining interesting research works, this Special Issue intends to increase the invisibility of women in AI, showing where they are, what they do, and how they contribute to developments in Artificial Intelligence from their different places, positions, research branches and application fields. We planned to issue this book on the on Ada Lovelace Day (11/10/2022), a date internationally dedicated to the first computer programmer, a woman who had to fight the gender difficulties of her times, in the XIX century. We also thank the publisher for making this possible, thus allowing for this book to become a part of the international activities dedicated to celebrating the value of women in ICT all over the world. With this book, we want to pay homage to all the women that contributed over the years to the field of AI.
    Schlagwort(e): artificial intelligence ; computer-aided diagnosis ; computed tomography ; lung cancer ; deep learning ; lung nodule detection ; lung nodule segmentation ; convolutional neural network ; cellular automaton ; reconstruction ; complexity ; optimization ; high energy physics ; Reddit ; user-based model ; polarization ; local search optimization ; hate speech ; hate spread ; countermeasures ; social networks ; opinion diffusion ; education ; deferring hate content ; cyber activism ; classical Arabic ; short vowels ; audio dataset ; convolutional neural networks ; regularization ; machine learning ; segmentation ; clustering ; forecasting ; book copies ; publishing industry ; gamification ; adaptive gamification ; player types ; computational finance ; fuzzy logic ; membership function ; Type-1 fuzzy sets ; T1FLS ; Type-2 fuzzy sets ; T2FLS ; women ; research ; CURE ; hierarchical clustering ; cluster validity indices ; Calinski–Harabasz index ; bootstrapping ; Industry 4.0 ; 3D printing ; cognitive states ; mental workload ; EEG analysis ; neural networks ; multimodal data fusion ; peer assessment ; multiagent system ; probabilistic model ; comparative analysis ; Bayesian network ; Artificial Intelligence ; urban water cycle ; hydrosocial urban cycle ; urban political ecology ; gender gap ; equity ; explainable AI ; fuzzy rules ; dominance-based rough set approach ; diabetic retinopathy ; AI ; disease surveillance ; pandemics ; global public health ; ethics ; data ; missing datasets ; data-driven studies ; women in artificial intelligence ; women in data science ; women in STEM ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 97
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-02-24
    Beschreibung: Fruit production has faced many challenges in recent years as society seeks to increase fruit consumption while increasing safety and reducing the harmful effects of intensive farming practices (e.g., pesticides and fertilizers). In the last 50 years, the population has more than doubled and is expected to grow to 9 billion people by 2050. Per capita consumption of fruit is also increasing during this time and the global fruit industry is facing a major challenge to produce enough fruit in quantity and quality. The need for sustainable production of nutritious food is critical for human and environmental health.This book provides some answers to people who are increasingly concerned about the sustainability of fruit production and the fruit industry as a whole.
    Schlagwort(e): Cornus mas ; yield ; weight ; biochemical characteristics ; business models ; innovation ; resource efficiency ; sustainability ; environmental assessment ; fruit production ; cleaner production ; life cycle assessment (LCA) ; carbon footprint ; stevia leaves ; aronia pomace ; encapsulation ; polyphenols ; Halyomorpha halys ; green insecticides ; anthocyanin ; ExtendayTM ; fruit colouration ; light reflection ; LumilysTM ; plastic recycling ; reflective films ; resource conservation ; sustainable horticulture ; sea buckthorn ; biodiversity ; biochemical composition ; underutilized fruit ; fruit and nut trees ; chilling ; heat accumulation ; modeling ; New Mexico ; computing image analysis ; deep learning ; yield mapping in an orchard ; fruit counting ; computer vision ; apricot ; Sekerpare ; nutraceuticals ; Prunus persica L. ; colour ; chemical contents ; antioxidant capacity ; sugar ; native germplasm ; temperate fruit ; wild fig ; conservation ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 98
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-04-05
    Beschreibung: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Schlagwort(e): speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 99
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-08-12
    Beschreibung: The present book contains 14 articles that were accepted for publication in the Special Issue “Numerical Computation, Data Analysis and Software in Mathematics and Engineering” of the MDPI journal Mathematics. The topics of these articles include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed. Mathematical models, such as the lattice hydrodynamic model, extended car-following model and smart helmet-based PLS-BPNN error compensation model, are proposed. The use of the deep learning approach to predict the mechanical properties of single-network hydrogel is presented, and data analysis for land leasing is discussed. This book will be interesting and useful for those working in the meshless method, numerical simulation, mathematical model, deep learning and data analysis fields.
    Schlagwort(e): cold-roll forming ; longitudinal strain ; cubic spline function ; cumulative chord ; elastic–plastic problem ; complex variable meshless method ; interpolating shape function ; singular weight function ; complete basis function ; mathematical model ; leased price ; total leased area ; data analysis ; residential land ; Beijing ; meshless method ; dimension splitting–interpolating moving least squares (DS-IMLS) method ; improved interpolating element-free Galerkin (IEFG) method ; potential problem ; traffic flow ; two-dimensional lattice hydrodynamic model ; driver’s predictive effect ; finite element method ; alkali-activated slag ceramsite compound insulation block ; ANSYS CFX ; thermal and mechanical performances ; indoor thermal environment ; dimension splitting method ; dimension splitting generalized interpolating element-free Galerkin method ; convection–diffusion–reaction problem ; deep learning ; hydrogel network ; mechanical property ; convolutional neural network ; self-avoiding walk ; personnel health monitoring ; construction site management ; smart helmet ; infrared temperature measurement ; temperature error compensation ; BP neural network ; COVID-19 ; peridynamics ; dual-horizon ; crack propagation ; variable horizon ; multi-grid ; car-following model ; visual angle model ; electronic throttle angle ; stability analysis ; heavy haul ; railway tunnel ; basement structure ; dynamic response characteristics ; defects ; the lattice hydrodynamic model ; control signal ; strong wind ; optimal estimation of flux difference integral ; improved element-free Galerkin method ; Helmholtz equation ; penalty method ; improved moving least-squares approximation ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 100
    facet.materialart.
    Unbekannt
    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-05-06
    Beschreibung: This reprint presents advances in operation and maintenance in solar plants, wind farms and microgrids. This compendium of scientific articles will help clarify the current advances in this subject, so it is expected that it will please the reader.
    Schlagwort(e): wind turbine ; electric generator ; spectral analysis ; fault diagnosis ; photovoltaic power forecasting ; data-driven ; deep learning ; variational autoencoders ; RNN ; angle swinging ; grid frequency oscillations ; electromechanical system ; inertial masses ; microgrids ; coordination protection ; distributed generation ; photovoltaic resources ; DigSILENT ; photovoltaic module ; defect detection ; power plant ; efficiency ; thermal image ; photovoltaic aging ; dark I-V curves ; bidirectional power inverter ; online distributed measurement of dark I-V curves ; sustainability ; compressive strength ; Bolomey formula ; sustainable concrete ; glass powder ; solar cell ; solar panel ; parameter extraction ; analytical ; Lambert W-function ; spacecraft solar panels ; I-V curve ; modeling ; wind power ; non-conventional renewable energy ; forecasting ; energy bands ; combinatorial optimization ; deep learning (DL) ; unmanned aerial vehicle (UAV) ; photovoltaic (PV) systems ; image-processing ; image segmentation ; semantic segmentation ; faults diagnostic ; artificial intelligence ; unbalanced datasets ; synthetic data ; artificial neural network based MPPT ; hybrid boost converter ; renewable energies ; solar power system ; microgrid ; control system ; storage system ; primary control ; photovoltaic (PV) plants ; coverage path planning (CPP) ; corrosion monitoring ; FPGA ; offshore wind turbines ; ultrasound ; thickness loss ; SCADA ; visualisation ; software ; wind-turbine ; windfarm ; cross-platform ; HMI ; GUI ; corrosion ; monitoring ; photovoltaic systems ; expected energy models ; fleet-scale ; lasso regression ; performance modeling ; machine learning ; fault location in photovoltaic arrays ; failure modes simulation ; fault detection criterion ; adaptive protection ; distributed power generation ; power distribution ; power system protection ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
    Sprache: Englisch
    Format: image/jpeg
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...