ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • machine learning  (250)
  • Boundary value problems
  • LC QA402.3
  • Mathematics
  • English  (264)
  • Italian
  • Japanese
  • Swedish
  • 2020-2024  (258)
  • 1980-1984  (6)
  • 1940-1944
  • 1935-1939
  • 1925-1929
  • 2022  (258)
  • 1983  (6)
Collection
Keywords
Language
  • English  (264)
  • Italian
  • Japanese
  • Swedish
  • German  (9)
Years
  • 2020-2024  (258)
  • 1980-1984  (6)
  • 1940-1944
  • 1935-1939
  • 1925-1929
  • +
Year
  • 1
    Unknown
    Boston : Academic Press
    Keywords: DDC 510 s ; DDC 515.7/222 ; LC QA3 ; Mathematics
    Pages: Online-Ressource (xi, 398 pages)
    ISBN: 9780123933010
    Language: English
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Keywords: DDC 510 s ; DDC 515.7/222 ; LC QA3 ; Mathematics
    Pages: Online-Ressource (xiv, 274-859 pages)
    ISBN: 9780817634988
    Language: English
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Unknown
    Boston : Academic Press
    Keywords: DDC 510 s ; DDC 515.7/222 ; LC QA3 ; Mathematics
    Pages: Online-Ressource (xi, 399-1074 pages)
    ISBN: 9780123933027
    Language: English
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Unknown
    London ; New York : Academic Press
    Keywords: DDC 003 ; LC QA402.3 ; Algebras, Linear ; Polynomials ; System analysis
    Pages: Online-Ressource (xx, 360 pages)
    ISBN: 9780080956725
    Language: English
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Unknown
    London ; New York : Academic Press
    Keywords: DDC 629.8/312 ; LC QA402.3 ; Feedback control systems ; Linear systems ; Observers (Control theory)
    Pages: Online-Ressource (xi, 246 pages)
    ISBN: 9780125277808
    Language: English
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Unknown
    Amsterdam ; New York : North-Holland Pub. Co
    Keywords: DDC 519.8/2 ; LC QA379 ; Boundary value problems ; Queuing theory ; Random walks (Mathematics)
    Pages: Online-Ressource (xii, 405 pages)
    ISBN: 9780444865670
    Language: English
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries.
    Keywords: virtual power plant (VPP) ; power quality (PQ) ; global index ; distributed energy resources (DER) ; energy storage systems (ESS) ; power systems ; long-term assessment ; battery energy storage systems (BESS) ; smart grids ; conducted disturbances ; power quality ; supraharmonics ; 2–150 kHz ; Power Line Communications (PLC) ; intentional emission ; non-intentional emission ; mains signalling ; virtual power plant ; data mining ; clustering ; distributed energy resources ; energy storage systems ; short term conditions ; cluster analysis (CA) ; nonlinear loads ; harmonics, cancellation, and attenuation of harmonics ; waveform distortion ; THDi ; low-voltage networks ; optimization techniques ; different batteries ; off-grid microgrid ; integrated renewable energy system ; cluster analysis ; K-means ; agglomerative ; ANFIS ; fuzzy logic ; induction generator ; MPPT ; neural network ; renewable energy ; variable speed WECS ; wind energy conversion system ; wind energy ; frequency estimation ; spectrum interpolation ; power network disturbances ; COVID-19 ; time-varying reproduction number ; social distancing ; load profile ; demographic characteristic ; household energy consumption ; demand-side management ; energy management ; time series ; Hidden Markov Model ; short-term forecast ; sparse signal decomposition ; supervised dictionary learning ; dictionary impulsion ; singular value decomposition ; discrete cosine transform ; discrete Haar transform ; discrete wavelet transform ; transient stability assessment ; home energy management ; binary-coded genetic algorithms ; optimal power scheduling ; demand response ; Data Injection Attack ; machine learning ; critical infrastructure ; smart grid ; water treatment plant ; power system ; 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::KNB Energy industries and utilities
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
    Keywords: truck dispatching ; mining equipment uncertainties ; orebody uncertainty ; discrete event simulation ; Q-learning ; grinding circuits ; minerals processing ; random forest ; decision trees ; machine learning ; knowledge discovery ; variable importance ; mineral prospectivity mapping ; random forest algorithm ; epithermal gold ; unstructured data ; blast impact ; empirical model ; mining ; fragmentation ; mine worker fatigue ; random forest model ; health and safety management ; stockpiles ; operational data ; mine-to-mill ; geostatistics ; ore control ; mine optimization ; digital twin ; modes of operation ; geological uncertainty ; multivariate statistics ; partial least squares regression ; oil sands ; bitumen extraction ; bitumen processability ; mine safety and health ; accidents ; narratives ; natural language processing ; random forest classification ; hyperspectral imaging ; multispectral imaging ; dimensionality reduction ; neighbourhood component analysis ; artificial intelligence ; mining exploitation ; masonry buildings ; damage risk analysis ; Bayesian network ; Naive Bayes ; Bayesian Network Structure Learning (BNSL) ; rock type ; mining geology ; bluetooth beacon ; classification and regression tree ; gaussian naïve bayes ; k-nearest neighbors ; support vector machine ; transport route ; transport time ; underground mine ; tactical geometallurgy ; data analytics in mining ; ball mill throughput ; measurement while drilling ; non-additivity ; coal ; petrographic analysis ; macerals ; image analysis ; semantic segmentation ; convolutional neural networks ; point cloud scaling ; fragmentation size analysis ; structure from motion ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Third millennium engineering address new challenges in materials sciences and engineering. In particular, the advances in materials engineering combined with the advances in data acquisition, processing and mining as well as artificial intelligence allow for new ways of thinking in designing new materials and products. Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm.
    Keywords: plasticity ; machine learning ; constitutive modeling ; manifold learning ; topological data analysis ; GENERIC ; soft living tissues ; hyperelasticity ; computational modeling ; data-driven mechanics ; TDA ; Code2Vect ; nonlinear regression ; effective properties ; microstructures ; model calibration ; sensitivity analysis ; elasto-visco-plasticity ; Gaussian process ; high-throughput experimentation ; additive manufacturing ; Ti–Mn alloys ; spherical indentation ; statistical analysis ; Gaussian process regression ; nanoporous metals ; open-pore foams ; FE-beam model ; data mining ; mechanical properties ; hardness ; principal component analysis ; structure–property relationship ; microcompression ; nanoindentation ; analytical model ; finite element model ; artificial neural networks ; model correction ; feature engineering ; physics based ; data driven ; laser shock peening ; residual stresses ; data-driven ; multiscale ; nonlinear ; stochastics ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2024-03-27
    Description: This Special Issue provides an insight, collated from 26 articles, focusing on various aspects of the Fit-For-Purpose Land Administration (FFPLA) concept and its application. It presents some influential and innovative trends and recommendations for designing, implementing, maintaining and further developing Fit-For-Purpose solutions for providing secure land rights at scale. The first group of 14 articles is published in Volume One and discusses various conceptual innovations related to spatial, legal and institutional aspects and its wider applications within land use management. The second group of 12 articles is published in Volume Two and focuses on case studies from various countries throughout the world, providing evidence and lessons learned from the FFPLA implementation process.
    Keywords: complete cadastre ; legal element ; fixing boundary ; eligible landowner ; agreement ; boundary marker ; fit-for-purpose land administration (FFP LA) ; violent conflict ; United Nations ; extra-legal ; transitional justice ; peace building ; land governance ; power relations ; securing land rights ; land registration ; development impacts ; fit-for-purpose land administration ; land administration ; decentralization ; India ; fit-for-purpose ; institutions ; governance ; politics ; Amazon ; deforestation ; Fit-For-Purpose land administration ; participatory mapping ; indigenous land conflict ; Cumaribo ; Colombia ; community-based land adjudication ; components of adjudication ; land tenure ; land rights ; good practices ; updating land records ; systematic land registration ; unconventional approach ; case study ; Benin ; cadaster ; land administration domain model ; LADM ; cadastre ; FFPLA ; customary tenure ; land inventory ; land management ; mobile-based applications ; pro-poor ; land surveying ; tenure security ; land rights and tenure ; fit-for-purpose approach ; human rights ; design science research ; design thinking ; fit for purpose ; spatial data quality ; spatial data quality assurance ; maintenance ; update ; upgrade ; upkeep ; renewal ; data quality ; spatial framework ; STDM ; technology ; UAV ; feature extraction ; rapid urbanization ; climate change ; pandemic ; urban resilience ; spatial ; legal ; and institutional frameworks ; land tenure security ; pro-poor land recordation ; land governance reform ; cost effectiveness ; innovative technology ; case studies ; Uganda ; customary land tenure ; land recordation tools ; semantic technologies ; land information system ; fit-for-purpose land management ; aerial and street level imagery ; machine learning ; integrated land programs ; land policy ; pilot study ; informal settlements ; urban development ; Brazil ; community-based crowdsourcing ; SiGIT ; Ecuador ; land and resources rights ; public-private partnerships ; corporate social responsibility ; poverty reduction ; business driven solutions ; social enterprises ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 11
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.
    Keywords: self-healing grid ; machine-learning ; feature extraction ; event detection ; optimization techniques ; manta ray foraging optimization algorithm ; multi-objective function ; radial networks ; optimal power flow ; automatic P2P energy trading ; Markov decision process ; deep reinforcement learning ; deep Q-network ; long short-term delayed reward ; inter-area oscillations ; modal analysis ; reduced order modeling ; dynamic mode decomposition ; machine learning ; artificial neural networks ; steady-state security assessment ; situation awareness ; cellular computational networks ; load flow prediction ; contingency ; fuzzy system ; change detection ; data analytics ; data mining ; filtering ; optimization ; power quality ; signal processing ; total variation smoothing ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 12
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 13
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book mainly deals with recent advances in biomedical sensing and imaging. More recently, wearable/smart biosensors and devices, which facilitate diagnostics in a non-clinical setting, have become a hot topic. Combined with machine learning and artificial intelligence, they could revolutionize the biomedical diagnostic field. The aim of this book is to provide a research forum in biomedical sensing and imaging and extend the scientific frontier of this very important and significant biomedical endeavor.
    Keywords: finite element method ; thin shell model ; β dispersion ; Maxwell–Wagner effect ; bio-impedance spectroscopy ; multisensory ; electromyography ; pattern recognition ; rehabilitation ; blood coagulation ; image sensing ; image classification ; electrical impedance tomography ; frequency difference ; time difference ; lung imaging ; electromagnetic detection and biosensors ; electromagnetic biological theory ; biomedical application ; frequency ; machine learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 14
    Publication Date: 2023-05-10
    Description: Current approaches to Natural Language Processing (NLP) have shown impressive improvements in many important tasks: machine translation, language modeling, text generation, sentiment/emotion analysis, natural language understanding, and question answering, among others. The advent of new methods and techniques, such as graph-based approaches, reinforcement learning, or deep learning, have boosted many NLP tasks to a human-level performance (and even beyond). This has attracted the interest of many companies, so new products and solutions can benefit from advances in this relevant area within the artificial intelligence domain.This Special Issue reprint, focusing on emerging techniques and trendy applications of NLP methods, reports on some of these achievements, establishing a useful reference for industry and researchers on cutting-edge human language technologies.
    Keywords: natural language processing ; distributional semantics ; machine learning ; language model ; word embeddings ; machine translation ; sentiment analysis ; quality estimation ; neural machine translation ; pretrained language model ; multilingual pre-trained language model ; WMT ; neural networks ; recurrent neural networks ; named entity recognition ; multi-modal dataset ; Wikimedia Commons ; multi-modal language model ; concreteness ; curriculum learning ; electronic health records ; clinical text ; relationship extraction ; text classification ; linguistic corpus ; deception ; linguistic cues ; statistical analysis ; discriminant function analysis ; fake news detection ; stance detection ; social media ; abstractive summarization ; monolingual models ; multilingual models ; transformer models ; transfer learning ; discourse analysis ; problem–solution pattern ; automatic classification ; machine learning classifiers ; deep neural networks ; question answering ; machine reading comprehension ; query expansion ; information retrieval ; multinomial naive bayes ; relevance feedback ; cause-effect relation ; transitive closure ; word co-occurrence ; automatic hate speech detection ; multisource feature extraction ; Latin American Spanish language models ; fine-grained named entity recognition ; k-stacked feature fusion ; dual-stacked output ; unbalanced data problem ; document representation ; semantic analysis ; conceptual modeling ; universal representation ; trend analysis ; topic modeling ; Bert ; geospatial data technology and application ; attention model ; dual multi-head attention ; inter-information relationship ; question difficult estimation ; named-entity recognition ; BERT model ; conditional random field ; pre-trained model ; fine-tuning ; feature fusion ; attention mechanism ; task-oriented dialogue systems ; Arabic ; multi-lingual transformer model ; mT5 ; language marker ; mental disorder ; deep learning ; LIWC ; spaCy ; RobBERT ; fastText ; LIME ; conversational AI ; intent detection ; slot filling ; retrieval-based question answering ; query generation ; entity linking ; knowledge graph ; entity embedding ; global model ; DISC model ; personality recognition ; predictive model ; text analysis ; data privacy ; federated learning ; transformer ; 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 15
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Personalised medicine is the next step in healthcare, especially when applied to genetically diverse diseases such as cancers. Naturally, a host of methods need to evolve alongside this, in order to allow the practice and implementation of individual treatment regimens. One of the major tasks for the development of personalised treatment of cancer is the identification and validation of a comprehensive, robust, and reliable panel of biomarkers that guide the clinicians to provide the best treatment to patients. This is indeed important with regards to radiotherapy; not only do biomarkers allow for the assessment of treatability, tumour response, and the radiosensitivity of healthy tissue of the treated patient. Furthermore, biomarkers should allow for the evaluation of the risks of developing adverse late effects as a result of radiotherapy such as second cancers and non-cancer effects, for example cardiovascular injury and cataract formation. Knowledge of all of these factors would allow for the development of a tailored radiation therapy regime. This Special Issue of the Journal of Personalised Medicine covers the topic of Radiation Response Biomarkers in the context of individualised cancer treatments, and offers an insight into some of the further evolution of radiation response biomarkers, their usefulness in guiding clinicians, and their application in radiation therapy.
    Keywords: carbon-ion radiotherapy ; head-and-neck tumors ; squamous cell carcinoma ; radiosensitivity ; relative biological effectiveness ; lung cancer ; radiotherapy ; radiotherapy monitoring ; radiation-induced lung injury ; RILI ; pneumonitis ; radiation-induced lung fibrosis ; RILF ; circulating biomarkers ; microRNA ; micronuclei ; uterine cervical cancer ; cGAS ; STING ; abscopal effect ; immunotherapy ; PBMCS ; micronucleus assay ; biological dosimetry ; human blood ; genotoxicity tests ; ionizing radiation ; biomarkers ; dicentric assay ; gamma H2AX foci assay ; health surveillance analyses ; clonogenic assays ; methods ; plating ; cancer ; radiation ; head and neck cancer ; exosomes ; serum ; metabolomics ; GC/MS ; biodosimetry ; chromosome aberrations ; normal tissue toxicity ; predictive tests ; normal tissue ; biomarker ; protein ; immune infiltrate ; stroma ; tumour microenvironment ; proteomics ; telomeres ; chromosomal instability ; inversions ; prostate cancer ; IMRT ; machine learning ; individual radiosensitivity ; late effects ; personalized medicine ; liquid biopsy ; circulating tumour cells ; extracellular vesicles ; microRNAs ; immune system ; inflammation ; n/a
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 16
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: In recent years, the implementation of sustainable concrete systems has been a topic of great interest in the field of construction engineering worldwide, as a result of the large and rapid increase in carbon emissions and environmental problems resulting from traditional concrete production and industry. For example, the uses of supplementary cementitious materials, geopolymer binder, recycled aggregate and industrial/agricultural wastes in concrete are all approaches to building a sustainable concrete system. However, such materials have inherent flaws due to their variety of sources, and exhibit very different properties compared with traditional concrete. Therefore, they require specific modifications in preprocessing, design, and evaluation before use in concrete. This reprint, entitled “Advances in Sustainable Concrete System”, covers a broad range of advanced concrete research in environmentally friendly concretes, cost-effective admixtures, and waste recycling, specifically including the design methods, mechanical properties, durability, microstructure, various models, hydration mechanisms, and practical applications of solid wastes in concrete systems.
    Keywords: high-strength concrete ; energy evolution ; elastic strain energy ; brittleness evaluation index ; concrete ; humidity ; moisture absorption ; moisture desorption ; numerical simulation ; acoustic emission ; AE rate process theory ; corrosion rate ; damage evolution ; axial load ; precast concrete structure ; lattice girder semi-precast slabs ; bending resistance ; FE modelling ; concrete damage ; GSP ; high strength ; hydration ; strength ; penetrability ; rice husk ash ; sustainable concrete ; artificial neural networks ; multiple linear regression ; eco-friendly concrete ; green concrete ; sustainable development ; artificial intelligence ; data science ; machine learning ; bagasse ash ; mechanical properties ; natural coarse aggregate ; recycled coarse aggregate ; two-stage concrete ; materials design ; recycled concrete ; crumb rubber concrete ; crumb rubber ; NaOH treatment ; lime treatment ; water treatment ; detergent treatment ; compressive strength ; materials ; adhesively-bonded joint ; temperature aging ; residual strength ; mechanical behavior ; failure criterion ; steel slag powder ; compound activator ; mortar strength ; orthogonal experiment ; GM (0, N) model ; ultrafine metakaolin ; silica fume ; durability ; fiber-reinforced concrete ; damage mechanism ; uniaxial tension ; cracked concrete ; crack width ; crack depth ; tortuosity ; sustainability ; concrete composites ; sulfate and acid attacks ; WPFT fibers ; coal gangue ; gradation ; cement content ; unconfined compressive strength ; freeze–thaw cycle ; minimum energy dissipation principle ; three-shear energy yield criterion ; damage variable ; constitutive model ; phosphorus slag ; limestone ; sulphate-corrosion resistance ; volume deformation ; blast furnace ferronickel slag ; alkali-activated material ; dosage of activator ; reactive powder concrete ; beam-column joint ; FE modeling ; crack ; cementitious gravel ; fly ash ; age ; optimal dosage ; bamboo ; sawdust ; pretreatment ; bio-based material ; mechanical property ; self-compacting concrete ; supplementary cementitious materials ; hydration mechanisms ; microstructure ; fresh properties ; synthetic polymer ; high temperature ; bentonite-free drilling fluid ; rheology ; filtration ; FRP reinforced concrete slab ; punching shear strength ; SHAP ; 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::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 17
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 18
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: The book provides a comprehensive overview of nanostructures and methods used to design biosensors, as well as applications for these biosensor nanotechnologies in the biological, chemical, and environmental monitoring fields. Biological sensing has proven to be an essential tool for understanding living systems, but it also has practical applications in medicine, drug discovery, food safety, environmental monitoring, defense, personal security, etc. In healthcare, advancements in telecommunications, expert systems, and distributed diagnostics are challenging current delivery models, while robust industrial sensors enable new approaches to research and development. Experts from around the world have written five articles on topics including:Diagnosing and treating intraocular cancers such as retinoblastoma; Nanomedicine in cancer management; Engineered nanomaterials in osteosarcoma diagnosis and treatment; Practical design of nanoscale devices; Detect alkaline phosphatase quantitatively in clinical diagnosis; Progress in the area of non-enzymatic sensing of dual/multi biomolecules; Developments in non-enzymatic glucose and H2O2 (NEGH) sensing; Multi-functionalized nanocarrier therapies for targeting retinoblastoma; Galactose functionalized nanocarriers; Sensing performance, electro-catalytic mechanism, and morphology and design of electrode materials; Biosensors along with their applications and the benefits of machine learning; Innovative approaches to improve the NEGH sensitivity, selectivity, and stability in real-time applications; Challenges and solutions in the field of biosensors.
    Keywords: advanced nanomaterials ; dual in-line sensing ; bi-functional properties ; non-enzymatic ; electrochemical sensing ; glucose and H2O2 ; nanotechnology ; bone diseases ; drug delivery ; nanocarriers ; osteosarcoma ; tumor-targeted ; retinoblastoma ; rare cancer ; surface-tailored multi-functionalized nanoparticles ; metallic nanoparticle ; tumor-suppressor gene mutation ; alkaline phosphatase ; terminal protection ; copper nanoparticle ; fluorescence ; biosensor ; electrochemical ; sensitivity ; amperometric ; voltammetric ; food quality monitoring ; machine learning ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 19
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: 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.
    Keywords: 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 20
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 21
    facet.materialart.
    Unknown
    Publication Date: 2023-05-10
    Description: The management of wildlife populations and their habitats are interdisciplinary fields that encompass many scientific disciplines that also impact the lives of people. Therefore, these are truly applied sciences where human dimensions play an important role.This book highlights the importance of conducting rigorous studies to design and implement the effective management and restoration of wild populations and their habitats. A new paradigm in conservation is developing that goes beyond the boundaries of protected areas to achieve the goal of sustainable development. The 16 papers in this book, including reviews and a project report, cover a broad range of topics, exploring a diversity of subjects that are representative of current practices and novel applications.We would like to thank both the MDPI publishers and editorial staff for their support and help during the process of editing this book, in addition to the authors for their contributions.
    Keywords: road safety ; roadkill ; clustering ; growth rate ; traffic intensity ; mitigation measures ; roadkill analysis ; movement patterns ; habitat characterisation ; multiple criteria ; multi-objective ranking ; environmental awareness ; machine learning ; random forest model ; structural equation modelling ; latent class analysis ; visitor mapping ; social–ecological systems ; cultural rural landscape ; protected areas ; rewilding ; rural socioeconomics ; forest expansion ; rural to urban land conversion ; biocultural heritage ; biodiversity ; naturalness ; land-cover change ; habitat quality ; InVEST ; ecosystem-based approach and assessment ; nature-based solution ; decision-making support ; national park management ; wildlife protection ; biodiversity conservation ; policy framework ; policy formulation ; China ; agricultural management ; amphibians ; beta diversity ; community ecology ; metacommunities ; constructed wetlands ; bats ; urban ecology ; long-term monitoring ; acoustics ; city parks ; community dynamics ; conservation evaluation ; at-risk species ; golden-winged warbler ; landowner incentives ; New England cottontail ; Natural Resources Conservation Service ; U.S. Department of Agriculture ; Working Lands for Wildlife ; camera-trapping ; conservation puma ; relative integrated anthropization index ; INRA ; South American grey fox ; habitat adaptability ; habitat model ; habitat selection ; habitat suitability ; use versus availability ; Maxent ; presence points ; GPS radio-collars ; anthropogenic variables ; species distribution models ; Spermophilus citellus ; maximum entropy modeling ; species distribution modeling ; climate change refugia ; urodela ; salamandridae ; caudata ; biosphere reserve ; habitat restoration ; species management ; life project ; activity patterns ; Lepus granatensis ; population decline ; niche ; Oryctolagus cuniculus ; roadside census ; predator–prey relationships ; spatio-temporal behavior ; abundance ; distance sampling ; population density ; R package ; wildlife survey ; uncertainty ; occupancy modeling ; road ecology ; 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 22
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 23
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: Social media has the potential to provide rapid insights into unfolding public health emergencies such as infectious disease outbreaks. They can also be drawn upon for rapid, survey-based insights into various health topics. Social media has also been utilised by medical professionals for the purposes of sharing scholarly works, international collaboration, and engaging in policy debates. One benefit of using social media platforms to gain insight into health is that they have the ability to capture unfiltered public opinion in large volumes, avoiding the potential biases introduced by surveys or interviews. Social media platforms can also be utilised to pilot surveys, for instance, though the use of Twitter polls. Social media data have also been drawn upon in medical emergencies and crisis situations as a public health surveillance tool. A number of software and online tools also exist, developed specifically to aide public health research utilising social media data. In recent years, ethical issues regarding the retrieval and analysis of data have also arisen.
    Keywords: social media ; disordered eating behaviours ; body image ; female ; university students ; telemedicine ; carbon dioxide ; air pollutants ; vehicle emissions ; primary care ; machine learning ; teleconsultation ; remote consultation ; classification ; public health ; short video ; social network ; TAM ; cost analysis ; health technology assessment ; provider-to-provider telemedicine ; telehealth ; economic analysis ; questionnaires and surveys ; validation studies ; health personnel ; electronic nicotine delivery systems ; smoking ; twitter ; poor doctor-patient relationship ; healthcare consultation ; mobile context ; computer-mediated communication ; point-of-care systems ; ultrasonography ; traffic-related pollution ; primary health care ; acceptability of health care ; surveys and questionnaires ; health communication ; Spanish official medical colleges ; stakeholders ; Twitter ; systemic lupus erythematosus (SLE) ; network analysis ; topic modeling ; text analysis ; online media ; vaccination ; social marketing ; stroke ; prehospital emergency care ; training ; stroke code ; large vessel occlusion ; prehospital scales ; hearing loss ; latent topic ; LDA ; social Q&amp ; A ; public voice ; public health emergency ; policy evolution ; product innovation ; cooperative governance ; COVID-19 ; coronavirus ; masks ; transmission ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 24
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: This reprint includes contributions from leaders in the field of personalized medicine in ophthalmology. The contributions are diverse and cover pre-clinical and clinical topics. We hope you enjoy reading the articles.
    Keywords: subthreshold micropulse laser ; 577-nm laser ; laser fixed parameters ; diabetic retinopathy ; diabetic macular edema ; optical coherence tomography ; autofluorescence ; real-life ; diabetic macular oedema ; visual prognosis ; indicators ; personalized medicine ; age-related macular degeneration ; choroidal neovascularization ; classification ; machine learning ; type 2 diabetes ; retinopathy ; ethnicity ; general practice ; risk factors ; progression ; glycemic gap ; glucose variability ; ETDRS classification ; biomarkers ; phenotypes ; anti-vascular endothelial growth factor ; diabetic retinopathy severity scale ; panretinal leakage index ; neovascular age-related macular degeneration ; anti-VEGF therapy ; retinal thickness ; visual acuity ; variability ; leakage index ; microaneurysms ; intravitreal aflibercept ; neovascularization ; ultra-widefield fluorescein angiography ; retinal imaging ; quantitative biomarkers ; precision medicine ; autoantibodies ; AT1-receptor ; PAR1 ; VEGF-A ; VEGF-B ; VEGF-receptor 2 ; AMD ; complement system ; semi-quantitative multiplex profilin ; mass spectrometry ; C4 ; vitronectin ; factor I ; genetic variants ; metabolites ; HDL ; central area thickness ; biomarker ; microRNA ; anti-VEGF ; retina ; edema ; OCT ; tomography ; microphysiological systems ; blood-neural barriers ; neurovascular unit ; disease modeling ; 3D models ; organ-on-a-chip ; inner blood-retinal barrier ; 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 25
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 26
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: This Special Issue (SI) on “Land Degradation Assessment with Earth Observation” comprises 17 original research papers with a focus on land degradation in arid, semiarid and dry-subhumid areas (i.e., desertification) in addition to temperate rangelands, grasslands, woodlands and the humid tropics. The studies cover different spatial, spectral and temporal scales and employ a wealth of different optical and radar sensors. Some studies incorporate time-series analysis techniques that assess the general trend of vegetation or the timing and duration of the reduction in biological productivity caused by land degradation. As anticipated from the latest trend in Earth Observation (EO) literature, some studies utilize the cloud-computing infrastructure of Google Earth Engine to cope with the unprecedented volume of data involved in current methodological approaches. This SI clearly demonstrates the ever-increasing relevance of EO technologies when it comes to assessing and monitoring land degradation. With the recently published IPCC Reports informing us of the severe impacts and risks to terrestrial and freshwater ecosystems and the ecosystem services they provide, the EO scientific community has a clear obligation to increase its efforts to address any remaining gaps—some of which have been identified in this SI—and produce highly accurate and relevant land-degradation assessment and monitoring tools.
    Keywords: bfast ; Mann–Kendall ; Sen’s slope ; East Africa ; NDVI ; breakpoint analysis ; vegetation trends ; greening ; browning ; Kenya ; Uganda ; trend analysis ; land use ; land cover ; spatial heterogeneity ; mining development ; geographically weighted regression (GWR) ; Mann-Kendall ; arid and semi-arid areas ; salinization ; irrigated systems ; Niger River basin ; salinity index ; vegetation index ; TI-NDVI ; Sentinel-2 images ; high temporal resolution ; wind erosion modeling ; RWEQ ; GEE ; central Asia ; spatial-temporal variation ; land degradation ; archetypes ; self-organizing maps ; drivers ; savannah ; Nigeria ; reference levels ; REDD+ ; greenhouse gas emissions ; Xishuangbanna ; monitoring and reporting ; Normalised Difference Vegetation Index (NDVI) ; Vegetation Condition Index (VCI) ; drought ; land use-land cover ; remote sensing ; Botswana ; developing countries ; Google Earth Engine ; Landsat time series analysis ; semi-arid areas ; sustainable land management programmes ; precipitation ; breakpoints and timeseries analysis ; ecosystem structural change ; BFAST ; land degradation neutrality ; SDG ; land productivity ; Landsat ; vegetation-precipitation relationship ; soil organic carbon ; Kobresia pygmaea community ; unmanned aerial vehicle ; Gaofen satellite ; spatial distribution ; aridity index ; satellite-based aridity index ; remote sensing index ; salinized land degradation index (SDI) ; Amu Darya delta (ADD) ; satellite imagery ; gully mapping ; machine learning ; random forest ; support vector machines ; South Africa ; semi-arid environment ; shrub encroachment ; slangbos ; Earth observation ; time series ; Sentinel-1 ; Sentinel-2 ; Synthetic Aperture Radar (SAR) ; Soil Adjusted Vegetation Index (SAVI) ; Kyrgyzstan ; pastures ; MODIS ; land surface phenology ; drought impacts ; drought adaptation ; drought index ; vegetation resilience ; drought vulnerability ; standardized precipitation evapotranspiration index ; AVHRR ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 27
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: Today, modern Geotechnical Engineers, who in the past would have considered the phenomena occurring in the (primarily soil) environment, are faced with developments in environmental sciences that are becoming increasingly more detailed and sophisticated, with the natural phenomena and processes surrounding the civil engineering infrastructure being modeled, designed, monitored, and assessed in a more holistic way. This book brings together the state of the art in geotechnics with a focus on sustainable design, resilience, construction, and monitoring of the performance of geotechnical assets from ground investigations, through foundation and drainage design to soil stabilization and reinforcement. Engineers and scientists working in the fields of green infrastructure, nature-based solutions, sustainable drainage, eco-engineering, hydro-geology, landscape planning, plant science, environmental biology or bio-chemistry, earth sciences, GIS, and remote sensing are represented here by articles that show significant geotechnical components or applications. Case studies showcasing the application of the sustainable development principles (e.g., reuse, recycle, reduce; stakeholder engagement; public health; UN Global Sustainability Goals) in Geotechnics are also included in this book.
    Keywords: machine learning ; random forest ; particle swarm optimization ; Vietnam ; Seepage ; Earth-fill dam ; Experimental analysis ; Numerical analysis ; SEEP/W model ; Dam safety and sustainability ; highway construction ; environmental protection ; soil loss ; erosion control ; risk ; hazard ; vulnerability ; landslides ; multicriteria assessment ; analytical hierarchy process ; calcium sulfoaluminate cement ; stabilized soil ; unconfined compressive strength ; hydration products ; microstructure ; sustainability ; geosynthetics ; poly(lactic acid) ; biopolymers ; geogrids ; tensile strength ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 28
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: This book was proposed and organized as a means to present recent developments in the field of testing of materials and elements in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of testing of different materials and elements in civil engineering, from building materials to building structures. The current trend in the development of testing of materials and elements in civil engineering is mainly concerned with the detection of flaws and defects in concrete elements and structures, and acoustic methods predominate in this field. As in medicine, the trend is towards designing test equipment that allows one to obtain a picture of the inside of the tested element and materials. Interesting results with significance for building practices were obtained.
    Keywords: rock bolt ; grouting quality ; dynamic response ; natural frequency ; finite element method ; monitoring ; historical masonry wall ; hygrothermal processes ; internal insulation ; testing of building materials ; test uncertainty ; validation of test methods ; sustainable test methods ; recycling ; foamed asphalt mixtures with cement (FAC) ; base layer ; reclaimed asphalt pavement (RAP) ; fatigue durability ; GFRP ; FRP reinforcement ; shear ; capacity ; reinforced concrete beams ; column ; stiffness ; FRCM ; PBO mesh ; PBO–FRCM ; carpentry joints ; scarf and splice joints ; stop-splayed scarf joints (‘bolt of lightning’) ; static behaviour ; experimental research ; concrete ; non-destructive testing ; ultrasounds ; ultrasonic tomography ; acoustic methods ; defects ; diagnostic ; detection ; convolutional neural networks ; transfer learning ; monitoring FBG ; power transmission tower ; civil engineering ; X-ray microtomography ; microstructure characteristics ; infiltration damage ; high-strength concrete ; steel fibres ; flexural tensile strength ; fracture energy ; numerical analysis ; concrete floors ; compressive strength ; strength distribution ; industrial floors ; ultrasound tests ; ventilated facades ; large-scale facade model ; fire safety ; fiber cement board ; large-slab ceramic tile ; plasterboards ; moisture content ; hydration processes ; mechanical properties ; ultrasound measurements ; ESD resin ; expansion joint ; quasi-plastic material ; energy absorption ; asphalt mix ; compaction index ; volumetric parameters ; stiffness modulus ; moisture resistance ; roughness ; texture ; close-range photogrammetry ; bond strength ; random field generation ; semivariograms ; hybrid truss bridge ; steel–concrete connection joint ; mechanical behavior ; failure mode ; strain ; static test ; static elastic modulus ; dynamic elastic modulus ; machine learning ; P-wave ; S-wave ; resonance frequency test ; nondestructive method ; Al–Ti laminate ; fracture ; acoustic emission diagnostic ; pattern recognition ; clustering AE signal ; storage systems ; tab connector ; flexural test ; capable design moment ; restrained ring test ; autogenous shrinkage cracking ; concrete cracking test ; concrete shrinkage cracking test ; restrined ring calibration ; cement–fiber boards ; acoustic emission method ; k-means algorithm ; wavelet analysis ; fiber composites ; ground penetrating radar (GPR) ; HMA dielectric constant ; road pavement thickness estimation ; early age concrete ; damage processes detection before loading ; strength of structures ; aggregate ; classification ; wire mesh ; roundness ; tilting angle ; opening size ; concrete centrifugation ; morphology ; image processing ; porosity ; cement ; waste paper sludge ash (WPSA) ; controlled low-strength material (CLSM) ; unconfined compressive strength ; bearing capacity ; backfill material ; P-wave velocity ; amplitude attenuation ; resistivity ; CT scan ; sandstone ; damage variable ; nuclear magnetic resonance ; spin-lattice relaxometry ; proton ; hydration kinetics ; superplasticizer ; ready-mixed concrete ; construction material ; quality assessment ; conformity criteria ; statistical-fuzzy method ; FRTP ; rivet ; connection ; polyethylene pipe ; mechanical properties of polyethylene ; resistance strain ; computer simulation ; residual shear stress ; particle crushing ; ring shear test ; particle flow code (PFC2D) ; frictional work ; fibre-reinforced concrete ; recycled steel fibres ; micro-computed tomography ; scanning electron microscopy ; tensile strength ; reinforced concrete ; diagnostic testing ; corrosion ; carbonation ; galvanostatic pulse method ; phase composition analysis ; X-ray analysis ; thermal analysis ; quasi-brittle cement composites ; low-module polypropylene fibres ; elastic range ; digital image correlation ; Arcan shear test ; wood ; orthotropic shear modulus ; elastic-plastic material ; shear wave velocity ; sand ; bender elements test ; grain-size characteristics ; complex modulus ; shrinkage analysis ; reclaimed asphalt ; mineral–cement emulsion mixtures ; cement dusty by-products (UCPPs) ; degradation of glass panels ; effective area ratio ; relative mass loss ; visible light transmittance ; windblown sand ; wood-plastic composites ; methods of testing resistance to fungi ; methods of assessment ; ground-penetrating radar (GPR) ; non-destructive techniques (NDT) ; corrosion of reinforcement ; slip resistance ; granite floor ; slip resistance value ; ramp test ; acceptance angle ; sliding friction coefficient ; comparability of test methods ; wall temperature ; fibre bragg grating sensors ; freeze-thaw cycles ; signal analysis ; short-time Fourier transform ; fast Fourier transform ; brine ; sodium chloride ; X-ray ; partition walls ; brick walls ; bending strength ; cracking ; post-tension ; cable ; girder ; destructive test ; non-destructive test ; structural health monitoring ; safety ; monitoring fibre Bragg grating ; mining areas ; strain/stress distribution ; geopolymer concrete ; fly-ash ; bottom-ash ; neural network ; sustainability ; industrial waste management ; flexural strength ; cladding ; AE acoustic emission ; micro-events ; sound spectrum ; traditional and quasi-brittle cement composites ; residual-state creep ; saturation front ; landslides ; erosional stability ; laboratory testing ; grout mixtures ; groundwater ; test apparatus ; testing ; building materials ; elements ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 29
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 30
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book introduces and provides solutions to a variety of problems faced by society, companies and individuals in a quickly changing and technology-dependent world. The wide acceptance of artificial intelligence, the upcoming fourth industrial revolution and newly designed 6G technologies are seen as the main enablers and game changers in this environment. The book considers these issues not only from a technological viewpoint but also on how society, labor and the economy are affected, leading to a circular economy that affects the way people design, function and deploy complex systems.
    Keywords: Industry 4.0 ; cognitive manufacturing ; cognitive load ; human–computer interaction ; 6GIIoE priorities ; 6GIIoE challenges ; 6GIIoE applications ; information system ; sequential methodology ; 6GIIoE theoretical framework ; circular economy ; circular building ; implementation strategies ; design strategies ; circular resource flows ; digital twin ; digital model ; system optimization ; predictive maintenance ; artificial and human intelligence ; security ; risks and risk management ; quality of life ; common welfare ; socio-political assessment ; assembly ; process planning systems ; concurrent engineering ; automotive industry applications ; manufacturing industry applications ; artificial intelligence ; sustainable development ; construction ; civil engineering ; machine learning ; construction engineering ; cognitive data intelligence ; cognitive healthcare ; tiny machine learning ; 6GCIoHE theoretical framework ; data science ; statistical data processing ; predictive analytics ; classification ; clustering ; labor productivity ; health management ; health-saving strategies ; electric power industry ; bridge ; expansion joint ; joint gap ; smart bridge maintenance equipment ; sensor ; structural health monitoring ; line-scan camera ; machine vision ; change management ; COVID-19 ; decision-support model ; digitization ; employee motivation ; employee satisfaction ; human resources ; software tool ; 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 31
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: 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 –
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 32
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: This Special Issue focuses on the current state of pharmacogenomics (PGx) and the extensive translational process, including the identification of functionally important PGx variation; the characterization of PGx haplotypes and metabolizer statuses, their clinical interpretation, clinical decision support, and the incorporation of PGx into clinical care.
    Keywords: pharmacogenomics ; return of results ; genetic counseling ; qualitative ; pharmacogenetics ; implementation ; pharmacogenetics service ; screening ; pre-emptive ; personalized medicine ; precision medicine ; community pharmacy ; pharmacogenomic testing ; genetic privacy ; pharmaco-economics ; polymorphisms ; pharmacogenes ; pharmacogenomic ; machine learning ; adaptation ; human evolution ; US Food and Drug Administration ; clinical actionability ; clinical translation ; chronic kidney disease ; CYP3A5 ; polymorphism ; progression ; pharmacogenomics (PGx) ; pediatrics ; best practice alerts (BPAs) ; electronic health records (EHR) ; genomic indicators ; clinical decision support (CDS) ; phenotype ; genotype ; polypharmacy ; chronic disease ; medication management ; electronic medical record ; artificial intelligence ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 33
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This Special Issue includes papers on physical phenomena, such as wind-driven flows, coastal flooding, and turbidity currents, and modeling techniques, such as model comparison, model coupling, parallel computation, and domain decomposition. These papers illustrate the need for modeling coastal ocean flows with multiple physical processes at different scales. Additionally, these papers reflect the current status of such modeling of coastal ocean flows, and they present a roadmap with numerical methods, data collection, and artificial intelligence as future endeavors.
    Keywords: high performance computing ; HPC ; PETSc ; parallelization ; scalability ; parallel performance ; streams ; curvilinear ; non-hydrostatic ; ocean modeling ; GCCOM ; open boundaries ; domain decomposition ; variational data assimilation ; inverse problems ; shallow water equations ; boundary conditions ; mathematical modelling ; coastal ocean modelling ; computational methods ; hydrodynamic ; modeling ; sea level rise ; mobile application ; app ; crowdsourcing ; SCHISM ; Tidewatch ; StormSense ; Catch the King ; downstream blocking ; compound flooding ; coastal storm surge and inundation ; explosive lateral flooding ; hurricane inland and upland flooding ; coastal modelling ; operational forecasting ; model evaluation ; inter-comparison ; NEMO ; FVCOM ; Ocean Protection Plan ; turbidity current ; suspended sediment ; numerical model ; Gulf of Mexico ; cold front ; Hurricane Barry ; numerical simulation ; subtidal hydrodynamics ; multi-inlet ; volume flux ; multiscale ; multiphysics ; model coupling ; data collection ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 34
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: This Special Issue publishes the latest advances and developments concerning the modelling of flooding in urban areas and contributes to our scientific understanding of the flooding processes and the appropriate evaluation of flood impacts. This issue contains contributions of novel methodologies including flood forecasting methods, data acquisition techniques, experimental research in urban drainage systems and/or sustainable drainage systems, and new numerical and simulation approaches in nine papers with contributions from over forty authors.
    Keywords: machine learning ; flash flood ; GIS ; Iran ; decision trees ; ensemble techniques ; manhole flooding ; urban flooding ; grid-based modeling ; SWWM ; FIRM ; pollutant transport ; hydraulic structures ; urban drainage ; CFD ; dual drainage ; Iber ; SWMM ; hazard ; artificial neural network ; resilient backpropagation ; multistep urban flood forecast ; demographic change ; urbanization ; flooding ; drainage system ; vulnerability ; Sub-Saharan Africa ; Antananarivo ; parameterised power-linear model ; hyper concentration ; dilute concentration ; suspended sediment transport ; flood ; sediment size parameter ; rouse number ; mean concentration ; flow depth ; urban flood modeling ; porosity ; shallow-water model ; urban flood management ; flood forecasting ; weather radar ; integrated hydraulic modeling ; and evacuation lead time ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 35
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: As the most heavily populated areas in the world, coastal zones host the majority and some of the most important human settlements, infrastructures and economic activities. Harbour and coastal structures are essential to the above, facilitating the transport of people and goods through ports, and protecting low-lying areas against flooding and erosion. While these structures were previously based on relatively rigid concepts about service life, at present, the design—or the upgrading—of these structures should effectively proof them against future pressures, enhancing their resilience and long-term sustainability. This Special Issue brings together a versatile collection of articles on the modelling of harbour and coastal structures, covering a wide array of topics on the design of such structures through a study of their interactions with waves and coastal morphology, as well as their role in coastal protection and harbour design in present and future climates.
    Keywords: beach morphology ; beach nourishment performance ; sustainable development ; General Shoreline beach model ; United Arab Emirates ; Saadiyat Island ; breakwater ; extreme learning machine ; stability assessment ; machine learning ; column-stabilized fish cage ; horizontal wave force ; least squares method ; hydrodynamic coefficient ; vertical breakwater ; reliability analysis ; overall stability ; sliding failure ; overturning failure ; bearing capacity analysis ; breakwater’s foundation failure ; rubble-mound ; zero-freeboard ; porous-media ; immersed-boundary ; level-set ; Smagorinsky subgrid scale model ; wave reflection ; wave transmission ; wave overtopping ; wave setup ; Nowshahr port ; field measurements ; numerical simulation ; wave ; current ; sediment transport ; rubble mound breakwaters ; historical review ; damage measurement ; damage characterization ; damage ; damage model ; damage progression ; input reduction ; wave schematization ; pick-up rate ; MIKE21 CM FM ; long-term morphological modelling ; numerical model ; OpenFOAM ; scour ; vertical breakwaters ; mortar-grouted riprap revetment ; full-scale hydraulic tests ; design of revetments ; Balearic Islands ; Boumerdès ; current speed ; harbor ; tsunami ; model uncertainty ; reliability ; pile settlement ; piles in granular soil ; base resistance ; skin friction ; t-z curves ; climate change ; coastal flooding ; coastal structures ; numerical modelling ; Boussinesq equations ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 36
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-24
    Description: This special issue on the genetics of Alzheimer's disease was edited by Drs. Laura Ibanez and Justin Miller in 2021. It contains 10 original articles and reviews that help readers understand specific genetic contributions to Alzheimer's disease and how genetics will play a role in future Alzheimer's disease research.
    Keywords: Alzheimer disease ; expression quantitative trait loci (eQTL) ; rare variants ; set-based eQTL ; SKAT-O ; pathways ; immune system ; inflammation ; ROSMAP ; ADNI ; complement ; complement receptor 1 ; clusterin ; late-onset Alzheimer’s disease ; genetics ; neuroinflammation ; Alzheimer’s disease ; cytokines and growth factors ; genome-wide association study (GWAS) ; Polygenic Risk Score (PRS)-based analysis ; TOMM40 gene ; RNA transcription ; pseudogene ; mitochondrial dysfunction ; ITIM ; ITAM ; SIGLEC14 ; SIGLEC5 ; copy number variation ; CNV ; GWAS ; long non-coding RNA ; biomarkers ; peripheral system ; amyloid β ; tau ; APOE ; TREM2 ; OMICS ; therapeutics ; pairwise feature correlation ; feature reduction ; machine learning ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 37
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: The adequate assessment of key apparatus conditions is a hot topic in all branches of industry. Various online and offline diagnostic methods are widely applied to provide early detections of any abnormality in exploitation. Furthermore, different sensors may also be applied to capture selected physical quantities that may be used to indicate the type of potential fault. The essential steps of the signal analysis regarding the technical condition assessment process may be listed as: signal measurement (using relevant sensors), processing, modelling, and classification. In the Special Issue entitled “Advances in Sensors and Sensing for Technical Condition Assessment and NDT”, we present the latest research in various areas of technology.
    Keywords: pulse compression ; scattering ; attenuation ; insulation ; ultrasonic testing ; OLTC ; AE sensor ; acoustic emission ; feature extraction ; supervised classification ; machine learning ; contrast-enhanced ultrasound ; muscle perfusion ; Nakagami parameter ; compounding Nakagami imaging ; low-frequency sensor ; power transformer ; low-frequency noise ; genetic algorithm ; geometric layout of railway track ; track axis identification ; tramway loop ; route’s polygon ; GNSS mobile measurements ; vibroarthography ; VAG ; knee joint ; spectral features ; frequency analysis ; non-invasive examination ; lateral temperature gradient ; temperature field ; boundary conditions ; solar radiation intensity ; temperature monitoring ; non-destructive evaluation ; eddy current ; 3D sensing ; inverse problem ; wavelet transform ; principal component analysis ; neural network ; incubation ; spectrum ; image processing ; ROC curve ; infrasound measurement system ; wind turbine ; infrasound correlation analysis ; measuring scale ; thermoelastic deformation ; coefficient of thermal expansion ; elastic waves ; laser ultrasound ; Fizeau fiber interferometer ; defect identification ; high-current pulses ; current measurement ; high-current shunts ; circuit modeling ; Rogowski coil ; electrodynamic accelerators ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 38
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-07-06
    Description: 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.
    Keywords: 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 39
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: The devastating effects caused by the recent catastrophic earthquakes that took place all over the world from Japan, New Zealand, to Chile, as well as those occurring in the Mediterranean basin, have once again shown that ground motion, although a serious source of direct damage, is not the only parameter to be considered, with most damage being the result of coseismic geological effects that are directly connected to the earthquake source or caused by ground shaking. The primary environmental effects induced by earthquakes as well as the secondary effects (sensu Environmental Seismic Intensity - ESI 2007 scale) must be considered for a more correct and complete evaluation of seismic hazards, at both regional and local scales. This Special Issue aims to collect all contributions that, using different methodologies, integrate new data produced with multi-disciplinary and innovative methods. These methodologies are essential for the identification and characterization of seismically active areas, and for the development of new hazard models, obtained using different survey techniques. The topic attracted a lot of interest, 19 peer-reviewed articles were collected; moreover, different areas of the world have been analyzed through these methodologies: Italy, USA, Spain, Australia, Ecuador, Guatemala, South Korea, Kyrgyzstan, Mongolia, Russia, China, Japan, and Nepal.
    Keywords: Arctic–Asian seismic belt ; regional segment ; active fault ; paleoseismogenic structure ; Late Cenozoic deformation ; earthquake mechanism ; seismotectonic deformation ; potential seismicity ; earthquake hazard ; DIC ; CPO ; model selection ; Pohang earthquake ; South Korea ; ground effects ; liquefaction ; geological control ; fault barrier ; seismic hazard ; earthquake hazards ; ESI scale 2007 ; EEE database ; microtremor H/V spectral ratio ; inversion ; shear-wave velocity structure ; site amplification ; Ulaanbaatar ; earthquake environmental effects ; Suusamyr earthquake ; Kyrgyzstan ; Tien Shan ; surface rupture ; landslide ; digital elevation model (DEM) ; Structure-from-Motion ; earthquake-induced landslide ; fully probabilistic technique ; Newmark’s method ; Sakhalin Island ; risk ; machine learning ; expert estimate ; maximum possible magnitudes of earthquakes ; one class classification ; seismic zoning ; earthquake forecasting ; paleoliquefaction ; paleoearthquake ; ESI-07 scale ; earthquake environmental effects (EEEs) ; earthquake archaeological effects (EAEs) ; intensity maps ; seismic scenarios ; earthquake catalogues ; Spain ; emergency shelter ; earthquake ; disaster ; weighted coefficient ; suitability analysis ; geographic information systems (GIS) ; catalog incompleteness ; coseismic landslides ; macroseismic intensity ; Pedernales earthquake ; Ecuador ; georisk ; probabilistic seismic hazard ; ESI scale ; ground-shaking map ; Guatemala ; Intraplate earthquake ; Australian earthquakes ; reverse earthquake ; ESI 2007 scale ; historical and recent earthquakes ; attenuation ; GMPE ; crustal model ; MMI ; intraplate region ; mass movements ; inventory map ; amalgamation ; earth observation (EO) ; spatial resolution ; in situ tests ; laboratory tests ; soil liquefaction ; cyclic triaxial tests ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 40
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This book includes articles written by over 80 specialists from many countries that demonstrate the biological functions of ultrasonic vocalizations and how they are used in studies of vocal expression of emotional states and in numerous animal models of neuropsychiatric diseases and disorders. Results of investigations of emissions of ultrasonic vocalizations are useful in studies of emotional disturbances, affective disorders, autism spectrum disorders, addiction, developmental abnormalities, and many other pathologies.
    Keywords: ultrasonic vocalization ; maternal immune activation ; autism ; communication ; rat ; sex differences ; social play ; rats ; anxiety ; observational fear learning ; USV ; maternal separation ; pup ; vasopressin antagonists ; righting reflex ; negative geotaxis ; ACTH ; corticosterone ; Brattleboro rat ; larynx ; female ; male ; 50-khz ultrasonic vocalizations (USVs) ; individual differences ; chronic variable stress (CVS) ; dopamine ; nucleus accumbens ; microdialysis ; evolution of vocalization ; 22 kHz calls ; 50 kHz calls ; infant isolation calls ; emotional arousal ; mesolimbic dopaminergic system ; mesolimbic cholinergic system ; hedonia ; ultrasonic vocalizations ; cognitive development ; respiration ; brain oscillations ; Cav1.2 ; calcium ; animal model ; rough-and-tumble play ; social approach ; playback ; social contact call ; alarm call ; social buffering ; distress ; emotional contagion ; fear contagion ; aversive state ; automated scoring ; addiction ; mental health ; machine learning ; drug discovery ; drug development ; Parkinson’s disease ; alpha-synuclein ; 6-OHDA ; Pink1 ; DJ1 ; exercise ; pharmacology ; pathology ; hypervigilance ; hyperreactivity ; exaggerated reactivity ; generalization ; PTSD ; depression ; heart rate ; Wistar ; 22-kHz calls ; 50-kHz calls ; affect ; aversion ; NOR ; reward ; working memory ; Y maze ; opioids ; fentanyl ; self-administration ; play ; food ; dam–pup interaction ; ethanol ; pup isolation ; rat pup ; 50 kHz vocalizations ; 22 kHz vocalizations ; amphetamine ; chemogenetics ; clozapine-n-oxide ; UMAP ; males ; females ; vocalizations ; fear extinction ; pain ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 41
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 42
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: The deployment of distributed renewable energy resources (DRERs) has accelerated globally due to environmental concerns and an increasing demand for electricity. DRERs are considered to be solutions to some of the current challenges related to power grids, such as reliability, resilience, efficiency, and flexibility. However, there are still several technical and non-technical challenges regarding the deployment of distributed renewable energy resources. Technical concerns associated with the integration and control of DRERs include, but are not limited, to optimal sizing and placement, optimal operation in grid-connected and islanded modes, as well as the impact of these resources on power quality, power system security, stability, and protection systems. On the other hand, non-technical challenges can be classified into three categories—regulatory issues, social issues, and economic issues. This Special Issue will address all aspects related to the integration and control of distributed renewable energy resources. It aims to understand the existing challenges and explore new solutions and practices for use in overcoming technical challenges.
    Keywords: distribution system ; microgrids ; power quality ; power system management ; power system reliability ; smart grids ; distribution networks ; Monte Carlo simulations ; PV hosting capacity ; photovoltaics ; green communities ; energy independence ; HOMER ; wind turbines ; power losses ; power system optimization ; PV curves ; DG ; TSA/SCA ; solar-powered electric vehicle parking lots ; different PV technologies ; PLO’s profit ; uncertainties ; smart grid paradigm ; distributed generation ; model-based predictive control ; robustness ; worst-case scenario ; min–max optimisation ; intraday forecasting ; Gaussian process regression ; machine learning ; off-grid system ; composite control strategy ; solar photovoltaic panel ; wind turbine ; diesel generator ; energy storage system (ESS) ; synchronous machine (SM) ; permanent magnet brushless DC machine (PMBLDCM) ; power quality improvement ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 43
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This book includes 17 papers published in the Special Issue/Article Collectoin “New Insights in the Genetics and Genomics of adrenocortical tumors and pheochromocytomas” including an editorial, 10 research papers and six review articles. Adrenal tumors represent a hot topic in contemporary endocrine oncology. Significant advancements in the genetics of genomics of these tumors have been made in recent years, and these articles give a useful and comprehensive overview of these issues. Questions regarding molecular pathogenesis, diagnosis (biomarkers) and even treatment are discussed in the papers written by international leaders of the field. Manuscripts are focused on three main topics: i. primary aldosteronism (the most common cause of secondary endocrine hypertension), ii. adrenocortical cancer and iii. pheochromocytoma/paraganglioma, which are the tumors with the highest heritability in humans. The book is edited by Prof. Peter Igaz (Department of Endocrinology, Faculty of Medicine, Semmelweis University).
    Keywords: pheochromocytoma ; paraganglioma ; genetics ; non-coding RNA ; malignancy ; biomarker ; treatment ; adaptive metabolism ; adrenal gland ; conn adenoma ; fatty acid metabolism ; ferroptosis ; hyperaldosteronism ; metabolic reprogramming ; β-oxidation ; PPARα ; tumor microenvironment ; Next Generation Sequencing ; hereditary cancer ; endocrine tumor syndrome ; KCNJ5 somatic mutation ; pulse wave velocity ; aldosterone-producing adenoma ; adrenalectomy ; propensity score matching ; arterial stiffness ; pheochromocytomas ; paragangliomas ; mutations ; susceptibility genes ; driver mutations ; hereditary ; germline ; somatic ; environment ; variants ; tumor suppressor genes ; metastatic ; RNAseq ; next generation sequencing ; adrenocortical carcinoma ; in silico analysis ; machine learning ; bioinformatic clustering ; biomarker prediction ; aldosterone producing adenoma ; ATP2B3 ; K416-F418delinsN mutation ; primary aldosteronism ; PPGL ; telomeres ; TERT ; ATRX ; NOP10 ; prognostic biomarker ; ALT ; phaeochromocytoma ; cancer ; mitochondrial complex II ; zebrafish ; therapy ; drug discovery ; redox balance pathway ; Vitamin C ; mitotane ; H295 strains ; microRNA ; aldosterone ; circulating ; adrenocortical ; transcriptomics ; epigenetics ; metabolomics ; epidemiology ; genetic analysis ; mortality ; surveillance ; TP53 R337H ; genetic testing ; adrenocortical tumor ; neonatal screening ; screening ; adenoma ; adrenal ; tissue ; artificial intelligence ; neural network ; n/a ; bic Book Industry Communication::M Medicine
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 44
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-12-06
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 45
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-07-06
    Description: 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.
    Keywords: 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 46
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-01
    Description: This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.
    Keywords: radiation-induced current ; dosimetry ; photodiodes ; phototransistors (MOSFETs) ; photovoltaic sensor ; CCD/CMOS ; cancer nodules detection ; phantom ; stiffness analysis ; ultrasound analysis ; visual analysis ; automatic robotic platform ; remote support for pathologists ; gait analysis ; gait correction ; electrostatic gait signal ; improved Detrended Cross-Correlation Analysis cross-correlation coefficient ; measuring system ; measurements ; contactless ; respiratory rate ; breathing pattern ; ECG electrode swaps ; ECG electrode potentials ; WCT potential change ; reconstructing correct ECG leads ; MSMinv transformation ; unicolor limb–chest electrodes ; torsional wave ; cervix ; pregnancy ; cervical stiffness ; fiber Bragg gratings ; smart textiles ; wearable systems ; cardiac monitoring ; respiratory monitoring ; precision sports ; archery ; body pressure distribution ; air-filled cell ; alternating pressure air mattress ; time of flight ; air flow ; active control system ; mobile EEG recordings ; montage-replaceable headsets ; BCI ; fiber Bragg grating ; plastic optical fiber ; non-invasive measurement ; pulse wave signals ; blood pressure ; partial least squares regression ; people counting ; bi-directional ; motion detection ; time of flight sensor ; force myography ; prosthetic fitting ; regression ; calibration ; error reduction ; linear regression ; random forest ; general regression neural network ; cross-talk ; force sensitive resistor ; MRI ; EMG ; graph theory ; electrical network ; muscle activity ; forearm ; COPD ; oxygen concentrator ; oxygen therapy ; automatic oxygen concentrator ; physical activity ; machine learning ; respiratory medicine ; portable oxygen concentrator ; oxygen delivery ; cerebral palsy ; game-based rehabilitation exercises ; computerized assessment methods ; motion tracking sensors ; Kinect sensor ; EEG ; PPG ; epilepsy ; signal processing ; brain monitoring ; artificial neural network ; predictive analysis ; dietary monitoring ; healthcare ; ring-type biosensor ; personalized digital medicine ; frailty syndrome ; sit-to-stand ; 30-s chair stand test ; wearable sensors ; fetal movement simulator ; fetal movement monitor ; maternal abdomen model ; acoustic sensor ; accelerometer ; piezoelectric diaphragm ; fiber Bragg grating sensors (FBGs) ; functional magnetic resonance imaging (fMRI) ; grasping actions detection ; motor assessment ; MR-compatible measuring systems ; abdominal movement signal ; hypopnea ; LSTM-RNN ; neural network ; oxygen saturation ; sleep apnea syndrome ; sleep–wake detection ; synchrosqueezing transform ; triaxial accelerometer ; thoracic movement signal ; multiple sclerosis ; kinematics ; surface EMG ; accelerator ; inertial sensor ; T10MW ; markerless motion capture ; automatic pushing analysis ; SCI patients ; RGB-D sensors ; respiration monitoring ; non-contact monitoring ; body movements detection ; thermal imaging ; natural sleep environments ; n/a ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 47
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 48
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-10-25
    Description: 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.
    Keywords: 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 49
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-12-06
    Description: This reprintshows recent advances in dam safety related to overtopping and the prevention, detection, and risk assessment of geostructural risks. Related to overtopping, the issues treated are: the throughflow and failure process of rockfill dams; the protection of embankment dams against overtopping by means of a rockfill toe or wedge-shaped blocks; and the protection of concrete dams with highly convergent chutes. In the area of geostructural threats, the detection of anomalies in dam behavior from monitoring data using a combination of machine learning techniques, the numerical modeling of seismic behavior of concrete dams, and the determination of the impact area downstream of ski-jump spillways are also studied and discussed. In relation to risk assessment, three chapters deal with the development of fragility curves for dikes and dams in relation to various failure mechanisms.
    Keywords: hydraulic structure ; sky-jump ; spillway ; flip bucket ; chute ; basin ; erosion ; flow rate ; jet flow ; wave overtopping ; levee ; cover ; probabilistic framework ; slope stability ; piping ; overtopping ; fragility curves ; Monte Carlo simulation ; dam ; stilling basin ; bucket ; flood ; weir ; safety ; protection ; dam protection ; wedge-shaped block ; WSB ; dam spillway ; dam safety ; ACUÑA ; rockfill dams ; throughflow ; numerical modeling ; non-Darcy flow ; porous media ; Forchheimer equation ; high velocity ; crushed rock ; rounded materials ; hydraulic mean radius ; intrinsic permeability ; shape of particles ; angularity of particles ; surface roughness of particles ; river levees ; geogrid reinforcement ; First Order Reliability Method (FORM) ; Surface Response Method (SRM) ; high gravity dams ; dam-foundation-reservoir dynamic interaction ; earthquake input mechanisms ; hydrodynamic pressure ; foundation size ; reservoir length ; stacking ; blending ; combination ; meta-learner ; experts ; machine learning ; Cross Validation ; radial displacement ; rockfill dam ; dam failure ; overflow ; floods ; dam breach ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 50
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: The Special Issue presents almost 40 papers on recent research in modeling of pyrometallurgical systems, including physical models, first-principles models, detailed CFD and DEM models as well as statistical models or models based on machine learning. The models cover the whole production chain from raw materials processing through the reduction and conversion unit processes to ladle treatment, casting, and rolling. The papers illustrate how models can be used for shedding light on complex and inaccessible processes characterized by high temperatures and hostile environment, in order to improve process performance, product quality, or yield and to reduce the requirements of virgin raw materials and to suppress harmful emissions.
    Keywords: steelmaking ; oxygen consumption ; GPR ; prediction model ; secondary refining ; water model ; mixing time ; slag entrapment ; stainless steel slag ; heating time ; Cr2O3 ; spinel ; crystal size ; processing maps ; nickel-based alloy ; flow behavior ; arrhenius equation ; hearth ; drainage ; PCA ; analysis tool ; pattern ; tapholes ; blast furnace ; coke ; carbon solution loss ; numerical simulation ; pellet pile ; Discrete Element Method ; porosity distribution ; angle of repose ; coordination number ; bubble motion ; interfacial phenomena ; entrainment ; moving path ; arsenopyrite ; arsenic removal ; mechanism ; roasting ; arsenate ; dust ash ; arsenic recovery ; titanium distribution ratio ; thermodynamic model ; ion–molecule coexistence theory ; LF refining slags ; electric arc furnace ; simulation ; process model ; COREX ; raceway zone ; gas flow ; COREX melter gasifier ; mixed charging ; burden layer structure ; burden pile width ; DEM ; burden distribution ; particle flow ; validation ; tire cord steel ; TiN inclusion ; solidification ; segregation models ; hot rolling ; TOU electricity pricing ; hot rolling planning ; genetic algorithm ; C-H2 smelting reduction furnace ; double-row side nozzles ; dimensional analysis ; multiple linear regression ; ironmaking blast furnace ; coke bed ; trickle flow ; molten slag ; liquid iron ; SPH ; charging system ; mathematical model ; radar data ; main trough ; transient fluid of hot metal and molten slag ; wall shear stress ; conjugate heat transfer ; refractory ; shape rolling ; flat rolling ; wire rod ; temperature distribution ; machine learning ; artificial intelligence ; neural network ; BOS reactor ; copper smelting ; SKS ; Shuikoushan process ; oxygen bottom blown ; gated recurrent unit ; support vector data description ; time sequence prediction ; fault detection and identification ; Lignite ; microwave and ultrasound modification ; structural characterization ; 3D molecular model ; structural simulation ; coke combustion rate ; charcoal combustion rate ; iron ore sintering process ; biomass ; quasi-particle ; quasi-particle structure ; monomer blended fuel ; quasi-particle fuel ; apparent activation energy ; coupling effect ; dynamic model ; basic oxygen furnace ; computational fluid dynamics ; CFD–DEM ; coalescence ; settling ; funneling flow ; horizontal single belt casting process (HSBC) ; computational fluid dynamics (CFD) ; double impingement feeding system ; supersonic coherent jet ; decarburization ; steel refining ; EAF ; CFD ; mass transfer coefficient ; physical modeling ; mathematical modeling ; kinetic models ; natural gas ; fuel injection ; combustion ; RAFT ; roll design ; flat-rolled wire ; strain inhomogeneity ; normal pressure ; macroscopic shear bands ; numerical model ; dual gas injection ; slag eye ; electrical energy consumption ; Electric Arc Furnace ; scrap melting ; statistical modeling ; raceway evolution ; raceway size ; flow pattern ; Eulerian multiphase flow ; blast furnace hearth ; dead man ; iron and slag flow ; lining wear ; hearth drainage ; Industry 4.0 ; copper smelter ; nickel-copper smelter ; radiometric sensors ; Peirce-smith converting ; matte-slag chemistry ; discrete event simulation ; adaptive finite differences ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 51
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The modeling and processing of empirical data is one of the main subjects and goals of statistics. Nowadays, with the development of computer science, the extraction of useful and often hidden information and patterns from data sets of different volumes and complex data sets in warehouses has been added to these goals. New and powerful statistical techniques with machine learning (ML) and data mining paradigms have been developed. To one degree or another, all of these techniques and algorithms originate from a rigorous mathematical basis, including probability theory and mathematical statistics, operational research, mathematical analysis, numerical methods, etc. Popular ML methods, such as artificial neural networks (ANN), support vector machines (SVM), decision trees, random forest (RF), among others, have generated models that can be considered as straightforward applications of optimization theory and statistical estimation. The wide arsenal of classical statistical approaches combined with powerful ML techniques allows many challenging and practical problems to be solved. This Special Issue belongs to the section “Mathematics and Computer Science”. Its aim is to establish a brief collection of carefully selected papers presenting new and original methods, data analyses, case studies, comparative studies, and other research on the topic of statistical data modeling and ML as well as their applications. Particular attention is given, but is not limited, to theories and applications in diverse areas such as computer science, medicine, engineering, banking, education, sociology, economics, among others. The resulting palette of methods, algorithms, and applications for statistical modeling and ML presented in this Special Issue is expected to contribute to the further development of research in this area. We also believe that the new knowledge acquired here as well as the applied results are attractive and useful for young scientists, doctoral students, and researchers from various scientific specialties.
    Keywords: mathematical competency ; assessment ; machine learning ; classification and regression tree ; CART ensembles and bagging ; ensemble model ; multivariate adaptive regression splines ; cross-validation ; dam inflow prediction ; long short-term memory ; wavelet transform ; input predictor selection ; hyper-parameter optimization ; brain-computer interface ; EEG motor imagery ; CNN-LSTM architectures ; real-time motion imagery recognition ; artificial neural networks ; banking ; hedonic prices ; housing ; quantile regression ; data quality ; citizen science ; consensus models ; clustering ; Gower’s interpolation formula ; Gower’s metric ; mixed data ; multidimensional scaling ; classification ; data-adaptive kernel functions ; image data ; multi-category classifier ; predictive models ; support vector machine ; stochastic gradient descent ; damped Newton ; convexity ; METABRIC dataset ; breast cancer subtyping ; deep forest ; multi-omics data ; categorical data ; similarity ; feature selection ; kernel density estimation ; non-linear optimization ; kernel clustering ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 52
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-10-25
    Description: In recent years, improving the sustainability of the steel industry and reducing its CO2 emissions has become a global focus. To achieve this goal, further process optimization in terms of energy and resource efficiency and the development of new processes and process routes are necessary. Modeling and simulation have established themselves as invaluable sources of information for otherwise unknown process parameters and as an alternative to plant trials that involves lower costs, risks, and time. Models also open up new possibilities for model-based control of metallurgical processes. This Special Issue focuses on recent advances in the modeling and simulation of unit processes in iron and steelmaking. It includes reviews on the fundamentals of modeling and simulation of metallurgical processes, as well as contributions from the areas of iron reduction/ironmaking, steelmaking via the primary and secondary route, and continuous casting.
    Keywords: liquid metals ; bubble generation ; bubble size distribution ; porous plugs ; bubble deformation ; drag force ; lift force ; mathematical modelling ; computational fluid dynamic ; slag heat recovery ; heat exchanger ; drying ; slag energy content ; heat recovery technology ; RecHeat ; rotary kiln ; reduction process ; numerical simulation ; pre-reduction ; scrap preheating ; electric arc furnace ; continuous charging ; turbulence modelling ; RANS/LES/DNS ; inflow condition ; model validation ; model application ; energy demand ; regression ; artificial neural network ; Gaussian process regression ; Köhle formula ; evaluation model ; quantitative relationship ; scrap melting ; mass transfer coefficient ; steelmaking process ; direct current ; arc impingement ; arc gap ; gas density ; electric arc ; magneto hydrodynamics ; computational fluid dynamics ; real-time model ; estimation ; model predictive control ; steel refining ; mathematical modeling ; carbon composite briquette ; blast furnace ironmaking ; reaction kinetics ; coke saving ; direct reduction ; Midrex ; HYL ; Rist diagram ; energy consumption ; profile optimization ; modelling ; machine learning ; steelmaking ; fuzzy modelling ; evolving modelling ; continuous casting ; near net shape casting ; twin roll (Bessemer) casting ; horizontal single belt casting ; 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 53
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: This Special Issue book covers a wide scope in the research field of 3D-printing, including: the use of 3D printing in system design; AM with binding jetting; powder manufacturing technologies in 3D printing; fatigue performance of additively manufactured metals, such as the Ti-6Al-4V alloy; 3D-printing methods with metallic powder and a laser-based 3D printer; 3D-printed custom-made implants; laser-directed energy deposition (LDED) process of TiC-TMC coatings; Wire Arc Additive Manufacturing; cranial implant fabrication without supports in electron beam melting (EBM) additive manufacturing; the influence of material properties and characteristics in laser powder bed fusion; Design For Additive Manufacturing (DFAM); porosity evaluation of additively manufactured parts; fabrication of coatings by laser additive manufacturing; laser powder bed fusion additive manufacturing; plasma metal deposition (PMD); as-metal-arc (GMA) additive manufacturing process; and spreading process maps for powder-bed additive manufacturing derived from physics model-based machine learning.
    Keywords: powder-bed additive manufacturing (AM) ; powder spreading ; spreading process map ; discrete element method (DEM) ; machine learning ; GMA additive manufacturing ; weld reinforcement ; visual features ; neural network ; selective laser melting ; magnesium alloys ; properties ; plasma metal deposition ; additive manufacturing ; 316L ; processing conditions ; mechanical properties ; microstructure ; virgin ; recycled ; metal powders ; laser powder bed fusion ; laser additive manufacturing ; 316l ss ; nickel alloy ; tribological behavior ; porosity ; rough surface ; ultrasonic testing ; convolutional neural network ; deep neural network ; multi-layer perceptron ; key performance indicators ; topology optimization ; design for additive manufacturing ; design for additive manufacturing services ; selective laser melting (SLM) ; laser powder bed fusion (LPBF) ; powder ; particle size distribution ; particle morphology ; powder layer density ; part density ; flowability ; Hausner ratio ; electron beam melting ; customized implant ; cost analysis ; fitting accuracy ; cranial reconstruction ; thin wall manufacturing ; process modelling ; ultrasonic vibration ; laser directed energy deposition ; coating ; TiC-TMC ; extremity ; revision ; limb salvage surgery ; 3D printing ; customized ; implant ; powder metallurgy ; simulated body fluid ; biomaterial ; fatigue ; titanium ; direct laser deposition ; Inconel 625 ; parametrisation ; microhardness ; preheating ; binder jetting ; sand casting ; aluminum alloy ; corrosion ; pressure drop ; heat exchanger ; surface textures ; dimples ; drag reduction ; 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 54
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: People living in both developed and developing countries face serious health challenges related to sedentary lifestyles. It is therefore essential to find new ways to improve health so that people can live longer and can age well. With an ever-growing number of smart sensing systems developed and deployed across the globe, experts are primed to help coach people toward healthier behaviors. The increasing accountability associated with app- and device-based behavior tracking not only provides timely and personalized information and support but also gives us an incentive to set goals and to do more. This book presents some of the recent efforts made towards automatic and autonomous identification and coaching of troublesome behaviors to procure lasting, beneficial behavioral changes.
    Keywords: activity recognition ; wearable devices ; inertial sensors ; Bluetooth beacons ; machine learning ; e-coaching ; m-health intervention ; personalization ; healthy lifestyle ; physical activity ; tangible user interface ; affordance ; multimodal cueing ; animate objects ; activities of daily living ; human activity recognition ; context-awareness ; Bayesian network ; mobile application ; wearable computing ; wrist-worn heart rate devices ; cardiac rehabilitation ; real-time wearable monitoring ; fuzzy logic ; fuzzy linguistic approach ; m-health ; remote coaching ; telemonitoring ; telehealth ; cadence ; marathon ; elevation change analysis ; personalized assistance level ; coaching ; electric bicycles ; ubiquitous computing ; health ; human-centered computing ; digital coaching ; diabetes education ; serious gaming ; self-management ; user evaluations ; sedentary lifestyle ; context recognition ; unhealthy sitting habits ; wearable sensors ; smartphones ; smart objects ; behavior change ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 55
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: This book reprints articles from the Special Issue "Industrial Applications: New Solutions for the New Age" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of twelve published articles. This special edition belongs to the "Mechatronic and Intelligent Machines" section.
    Keywords: induction machines ; electrical machines ; vector control ; SVPWM modulation ; frequency inverter ; artificial intelligence ; photovoltaics ; fault detection ; machine learning ; operation and maintenance ; renewable energy ; water-in-crude oil emulsion ; water content ; ultrasound ; propagation velocity ; exoskeletons ; test bench ; industry ; benchmarking ; microgrid model-based systems engineering ; service systems ; goal-oriented requirements engineering ; safety instrumented system ; ventricular assist device Bayesian network ; Petri net ; control strategy ; UAV ; fuzzy ; PID controller ; ROS ; Industry 4.0 ; database ; data models ; big data and analytics ; asset administration shell ; MLOps ; digital twin ; IoT ; prediction ; coordinate metrology ; optical scanning ; noise reduction ; digital manufacturing ; integrated inspection system ; data analytics ; uncertainty ; convolutional neural networks ; warehouse management ; image classification ; ensemble learning ; synthetic data ; depth image ; electrical maintenance ; COVID-19 ; thermography ; fever ; computer vision ; intelligent systems ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 56
    facet.materialart.
    Unknown
    Logos Verlag Berlin | Logos Verlag Berlin
    Publication Date: 2024-04-04
    Description: This work introduces a family of effective plate theories for multilayered materials with internal misfit. This is done for scaling laws ranging from Kirchhoff's theory to the linearised von Kármán one. An intermediate von Kármán-like theory is introduced to play a central interpolating role with a new parameter which switches between the adjacent regimes. After proving the necessary Gamma-convergence and compactness results, minimising configurations are characterised. Finally, the interpolating theory is numerically approximated using a discrete gradient flow and the relevant Gamma-convergence and compactness results for the discretisation are proved. This provides empirical evidence for the existence of a critical region of the parameter around which minimisers experience a stark qualitative change.
    Keywords: Mathematics ; thema EDItEUR::P Mathematics and Science::PB Mathematics
    Language: English
    Format: image/jpeg
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 57
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-11-17
    Description: The impact of buildings on the environment is nothing short of devastating. In recent years, much attention has been given to creating an environmentally friendly built environment. Nonetheless, it has been levied on new buildings. Residential buildings make up at least 80% of the built environment, most of which were built before any energy efficiency guidelines or regulations were introduced. Retrofitting existing residential buildings is a key yet neglected priority in effecting the transition to an environmentally friendly, sustainable built environment. It is pivotal to reducing a building’s energy consumption while simultaneously improving indoor environmental quality and minimizing harmful emissions. This Special Issue showcases studies investigating applications of environmental technology that is tailored to enhance the sustainable performance of existing residential buildings. It helps to better understand the innovations that have been taking place in retrofitting residential buildings, as well as highlighting many opportunities for future research in this field.
    Keywords: automatically generated heating ventilating and air conditioning (HVAC) controllers ; Building Information Modelling (BIM) ; Industry Foundation Classes (IFC) ; advanced building controls ; HVAC control ; occupancy prediction ; energy consumption ; thermal comfort ; smart building ; smart city ; Bayesian networks ; elevator control algorithm ; intelligent elevator system ; decision theory ; decision support systems ; solar PV ; battery ; costs ; CO2 emissions ; electric vehicle ; high-density residential district ; pedestrian wind environment ; computational fluid dynamics ; enclosure boundary ; lift-up design ; bushfire ; retrofit ; ember attack ; pressure differential ; urban fringe ; rural housing ; pyro-tornadogenesis ; backdraft ; self-consumption ; solar photovoltaics ; heat pumps ; thermal storage ; space heating ; space cooling ; residential construction ; retrofitting ; sustainable construction ; literature review ; research trends ; scientometric review ; carbon emission ; Green Building-Rating System (GBS) ; cross laminated timber (CLT) ; hybrid structure system ; radiant system ; conditioning system ; residential building ; BIM ; IFC ; architecture model enrichment ; machine learning ; IfcSpace ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 58
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 59
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-11-17
    Description: Today’s power system is facing the challenges of increasing global demand for electricity, high-reliability requirements, the need for clean energy and environmental protection, and planning restrictions. To move towards a green and smart electric power system, centralized generation facilities are being transformed into smaller and more distributed ones. As a result, the microgrid concept is emerging, where a microgrid can operate as a single controllable system and can be viewed as a group of distributed energy loads and resources, which can include many renewable energy sources and energy storage systems. The energy management of a large number of distributed energy resources is required for the reliable operation of the microgrid. Microgrids and nanogrids can allow for better integration of distributed energy storage capacity and renewable energy sources into the power grid, therefore increasing its efficiency and resilience to natural and technical disruptive events. Microgrid networking with optimal energy management will lead to a sort of smart grid with numerous benefits such as reduced cost and enhanced reliability and resiliency. They include small-scale renewable energy harvesters and fixed energy storage units typically installed in commercial and residential buildings. In this challenging context, the objective of this book is to address and disseminate state-of-the-art research and development results on the implementation, planning, and operation of microgrids/nanogrids, where energy management is one of the core issues.
    Keywords: energy demand ; long-term forecasting ; machine learning ; R programming ; solar power generation ; support vector regression ; economic energy ; Bonobo Optimizer ; hybrid renewable energy system ; microgrid ; PV panels ; wind turbine ; energy storage ; hierarchical control ; primary ; secondary control ; droop control ; frequency restoration ; voltage restoration ; grid synchronization ; proportional resonant controller ; robust control ; distributed generation, microgrid ; LMI ; optimization ; lightning attachment procedure optimization (LAPO) algorithm ; photovoltaic panel ; uncertainty ; cooperation ; energy ; reliability ; Monte Carlo ; smart energy control ; grid-synchronization ; dynamic voltage restorer ; converter control system ; sliding mode control ; economic scheduling ; clean energy ; quantum mayfly algorithm (QMA) ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 60
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 61
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Evolutionary algorithms (EAs) are population-based global optimizers, which, due to their characteristics, have allowed us to solve, in a straightforward way, many real world optimization problems in the last three decades, particularly in engineering fields. Their main advantages are the following: they do not require any requisite to the objective/fitness evaluation function (continuity, derivability, convexity, etc.); they are not limited by the appearance of discrete and/or mixed variables or by the requirement of uncertainty quantification in the search. Moreover, they can deal with more than one objective function simultaneously through the use of evolutionary multi-objective optimization algorithms. This set of advantages, and the continuously increased computing capability of modern computers, has enhanced their application in research and industry. From the application point of view, in this Special Issue, all engineering fields are welcomed, such as aerospace and aeronautical, biomedical, civil, chemical and materials science, electronic and telecommunications, energy and electrical, manufacturing, logistics and transportation, mechanical, naval architecture, reliability, robotics, structural, etc. Within the EA field, the integration of innovative and improvement aspects in the algorithms for solving real world engineering design problems, in the abovementioned application fields, are welcomed and encouraged, such as the following: parallel EAs, surrogate modelling, hybridization with other optimization techniques, multi-objective and many-objective optimization, etc.
    Keywords: Automatic Voltage Regulation system ; Chaotic optimization ; Fractional Order Proportional-Integral-Derivative controller ; Yellow Saddle Goatfish Algorithm ; two-stage method ; mono and multi-objective optimization ; multi-objective optimization ; optimal design ; Gough–Stewart ; parallel manipulator ; performance metrics ; diversity control ; genetic algorithm ; bankruptcy problem ; classification ; T-junctions ; neural networks ; finite elements analysis ; surrogate ; beam improvements ; beam T-junctions models ; artificial neural networks (ANN) limited training data ; multi-objective decision-making ; Pareto front ; preference in multi-objective optimization ; aeroacoustics ; trailing-edge noise ; global optimization ; evolutionary algorithms ; nearly optimal solutions ; archiving strategy ; evolutionary algorithm ; non-linear parametric identification ; multi-objective evolutionary algorithms ; availability ; design ; preventive maintenance scheduling ; encoding ; accuracy levels ; plastics thermoforming ; sheet thickness distribution ; evolutionary optimization ; genetic programming ; control ; differential evolution ; reusable launch vehicle ; quality control ; roughness measurement ; machine vision ; machine learning ; parameter optimization ; distance-based ; mutation-selection ; real application ; experimental study ; global optimisation ; worst-case scenario ; robust ; min-max optimization ; optimal control ; multi-objective optimisation ; robust design ; trajectory optimisation ; uncertainty quantification ; unscented transformation ; spaceplanes ; space systems ; launchers ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 62
    facet.materialart.
    Unknown
    Logos Verlag Berlin | Logos Verlag Berlin
    Publication Date: 2024-04-11
    Description: Our world today is becoming increasingly complex, and technical devices are getting ever smaller and more powerful. The high density of electronic components together with high clock frequencies leads to unwanted side-effects like crosstalk, delayed signals and substrate noise, which are no longer negligible in chip design and can only insufficiently be represented by simple lumped circuit models. As a result, different physical phenomena have to be taken into consideration since they have an increasing influence on the signal propagation in integrated circuits. Computer-based simulation methods play thereby a key role. The modelling and analysis of complex multi-physics problems typically leads to coupled systems of partial differential equations and differential-algebraic equations (DAEs). Dynamic iteration and model order reduction are two numerical tools for efficient and fast simulation of coupled systems. Formodelling of low frequency electromagnetic field, we use magneto-quasistatic (MQS) systems which can be considered as an approximation to Maxwells equations. A spatial discretization by using the finite element method leads to a DAE system. We analyze the structural and physical properties of this system and develop passivity-preserving model reduction methods. A special block structure of the MQS model is exploited to to improve the performance of the model reduction algorithms.
    Keywords: Technology & Engineering ; Electronics ; Mathematics ; Science ; Physics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering ; thema EDItEUR::P Mathematics and Science::PB Mathematics ; thema EDItEUR::P Mathematics and Science::PH Physics
    Language: English
    Format: image/jpeg
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 63
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: This book presents the paper form of the Special Issue (SI) on Smart Urban Water Networks. The number and topics of the papers in the SI confirm the growing interest of operators and researchers for the new paradigm of smart networks, as part of the more general smart city. The SI showed that digital information and communication technology (ICT), with the implementation of smart meters and other digital devices, can significantly improve the modelling and the management of urban water networks, contributing to a radical transformation of the traditional paradigm of water utilities. The paper collection in this SI includes different crucial topics such as the reliability, resilience, and performance of water networks, innovative demand management, and the novel challenge of real-time control and operation, along with their implications for cyber-security. The SI collected fourteen papers that provide a wide perspective of solutions, trends, and challenges in the contest of smart urban water networks. Some solutions have already been implemented in pilot sites (i.e., for water network partitioning, cyber-security, and water demand disaggregation and forecasting), while further investigations are required for other methods, e.g., the data-driven approaches for real time control. In all cases, a new deal between academia, industry, and governments must be embraced to start the new era of smart urban water systems.
    Keywords: hydraulic modelling ; pressure control valve ; pressure management ; remote real-time control ; stochastic consumption ; water distribution system ; fault identification ; hydraulic transient ; inverse transient analysis (ITA) ; water distribution network ; optimization approach ; water distribution monitoring ; optimal sensor placement ; water network partitioning ; topological centrality ; smart water system ; framework ; smartness ; cyber wellness ; leakage ; sensitivity ; uncertainty ; entropy ; multi-criteria decision-making ; DEMATEL ; clustering ; district metered area ; network sectorization ; smart city ; water quality monitoring ; Internet of Things ; wireless sensor networks ; water treatment plant ; data analytics ; nitrate ; nitrite ; water demand forecasting ; hybrid model ; error correction ; chaotic time series ; least square support vector machine ; cross-correlation ; data spatial aggregation ; finite population effect ; metering ; sample mean ; sampling design ; standard error ; stochastic analysis ; water demand peak factor ; water distribution networks ; comparative analysis ; hydraulic measure ; multi-criteria decision analysis (MCDA) ; reliability index ; water distribution network (WDN) ; smart stormwater ; machine learning ; cluster analysis ; data science ; flooding detection ; rainwater harvesting ; water trading ; dual reticulation ; decentralized water supply ; agent-based modeling ; urban water management ; urban water consumption ; water demand data ; water data accessibility ; data resolution ; smart meter ; smart water systems ; cyber–physical security ; cyber-security ; cyber–physical attacks ; n/a ; water distribution systems ; cyber-attack detection ; blind sources separation ; FastICA ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 64
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-07-06
    Description: Artificial intelligence (AI) is changing the world as we know it. Recent advances are enabling people, companies, and governments to envision and experiment with new methods of interacting with computers and modifying how virtual and physical processes are carried out. One of the fields in which this transformation is taking place is education. After years of witnessing the incorporation of technological innovations into learning/teaching processes, we can currently observe many new research works involving AI. Moreover, there has been increasing interest in this research area after the COVID-19 pandemic, driven toward fostering digital education. Among recent research in this field, AI applications have been applied to enhance educational experiences, studies have considered the interaction between AI and humans while learning, analyses of educational data have been conducted, including using machine learning techniques, and proposals have been presented for new paradigms mediated by intelligent agents. This book, entitled “AI in Education”, aims to highlight recent research in the field of AI and education. The included works discuss new advances in methods, applications, and procedures to enhance educational processes via artificial intelligence and its subfields (machine learning, neural networks, deep learning, cognitive computing, natural language processing, computer vision, etc.).
    Keywords: performance measurement ; key performance indicators ; educational data mining ; institutes performance ; governance ; educational mining ; machine learning ; artificial intelligence ; decision support systems ; systematic literature review ; learning styles ; hybrid university teaching ; e-behaviour ; big five personality ; student performance ; plagiarism ; ethics ; academic dishonesty ; online education ; higher education ; AS&P model ; Pakistan ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 65
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: Cyber-physical system (CPS) innovations, in conjunction with their sibling computational and technological advancements, have positively impacted our society, leading to the establishment of new horizons of service excellence in a variety of applicational fields. With the rapid increase in the application of CPSs in safety-critical infrastructures, their safety and security are the top priorities of next-generation designs. The extent of potential consequences of CPS insecurity is large enough to ensure that CPS security is one of the core elements of the CPS research agenda. Faults, failures, and cyber-physical attacks lead to variations in the dynamics of CPSs and cause the instability and malfunction of normal operations. This reprint discusses the existing vulnerabilities and focuses on detection, prevention, and compensation techniques to improve the security of safety-critical systems.
    Keywords: smart grids ; device authentication ; situational awareness ; home area networks ; time-delay switch attack ; networked control systems ; secure control design ; Lyapunov theory ; attack estimation ; hardware-in-the-loop testing ; machine learning ; industrial control systems ; anomaly detection ; fault detection ; intrusion detection system ; blockchain ; security ; privacy ; financial transactions ; transportation systems ; autonomous vehicles ; power system resilience ; disaster ; Federated Learning ; edge intelligence ; resilience management systems ; resource-limitations ; demand response ; remedial testing ; greybox fuzzing ; vulnerability detection ; enhanced security ; traffic microsimulation tool ; cooperative automated driving systems ; vehicle powertrain ; safety ; road capacity ; contested environments ; anomaly isolation ; artificial neural networks ; Cyber Physical System ; out-of-bounds ; vulnerable detection ; patch ; inverter-based energy resources ; islanded microgrids ; resilient control design ; secondary control ; false data injection ; 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 66
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: Ground penetrating radar (GPR) has become one of the key technologies in subsurface sensing and, in general, in non-destructive testing (NDT), since it is able to detect both metallic and nonmetallic targets. GPR for NDT has been successfully introduced in a wide range of sectors, such as mining and geology, glaciology, civil engineering and civil works, archaeology, and security and defense. In recent decades, improvements in georeferencing and positioning systems have enabled the introduction of synthetic aperture radar (SAR) techniques in GPR systems, yielding GPR–SAR systems capable of providing high-resolution microwave images. In parallel, the radiofrequency front-end of GPR systems has been optimized in terms of compactness (e.g., smaller Tx/Rx antennas) and cost. These advances, combined with improvements in autonomous platforms, such as unmanned terrestrial and aerial vehicles, have fostered new fields of application for GPR, where fast and reliable detection capabilities are demanded. In addition, processing techniques have been improved, taking advantage of the research conducted in related fields like inverse scattering and imaging. As a result, novel and robust algorithms have been developed for clutter reduction, automatic target recognition, and efficient processing of large sets of measurements to enable real-time imaging, among others. This Special Issue provides an overview of the state of the art in GPR imaging, focusing on the latest advances from both hardware and software perspectives.
    Keywords: Ground Penetrating Radar (GPR) ; Unmanned Aerial Vehicles (UAVs) ; Synthetic Aperture Radar (SAR) ; Real Time Kinematic (RTK) ; Ultra-Wide-Band (UWB) ; landmine and IED detection ; non-destructive testing ; GPR ; coherence ; semblance ; attribute analysis ; imaging ; GPR trace ; high-resolution data ; large-scale survey ; archaeological prospection ; Ground-Penetrating Radar ; velocity analysis ; coherency functionals ; GPR data processing ; GPR data migration ; spatial-variant convolution neural network (SV-CNN) ; spatial-variant convolution kernel (SV-CK) ; radar image enhancing ; MIMO radar ; neural networks ; imaging radar ; ground penetrating radar ; wavelet scattering network ; machine learning ; support vector machine ; pipeline identification ; snow ; snow water equivalent (SWE) ; stepped-frequency continuous wave radar (SFCW) ; software defined radio (SDR) ; snowpack multilayer reflectance ; Ground Penetrating Radar ; Synthetic Aperture Radar ; landmine ; Improvised Explosive Device ; radar ; noise attenuation ; Gaussian spike impulse noise ; deep convolutional denoising autoencoders (CDAEs) ; deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO) ; applied geophysics ; digital signal processing ; enhancement of 3D-GPR datasets ; clutter noise removal ; spectral filtering ; ground-penetrating radar ; nondestructive testing ; pipelines detection ; modeling ; signal processing ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 67
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Breast cancer is acknowledged as an international priority in healthcare. It is currently the most common cancer in women worldwide, with demographic trends indicating a continuous increase in incidence. Over the years, increasing efforts and resources have been devoted to the search for a systematic and optimized strategy in breast cancer diagnosis and treatment. Today, the Breast Unit model is considered the gold standard in order to ensure optimal patient-centered and research-based clinical services through multidisciplinary and integrated management.Surgical treatment has gradually evolved toward less aggressive approaches with the adoption of new therapeutic strategies. The evolution of evidence-based guidelines in such leading disciplines as radiation and medical oncology has led to a steady improvement in survival rates. This Special Issue will highlight innovations in the integrated management of breast cancer, their potential advantages, and the many open issues that still need to be properly defined and addressed.
    Keywords: metastatic breast cancer ; breast surgery ; immune system ; metabolic derangements ; precision medicine ; integrated therapies ; advanced breast cancer ; mTOR inhibitor ; CDK4/6 inhibitor ; endocrine resistance ; breast cancer ; pregnancy ; chemotherapy ; tailoring ; personalization ; DataMart ; real world data ; predictive model ; healthcare ; breast-conserving surgery ; non-palpable breast lesions ; image-guided localization ; preoperative breast localization ; breast ultrasound ; large database ; standardized data collection ; networks ; nipple-sparing mastectomy ; immediate breast reconstruction ; acellular dermal matrix (ADM) ; aesthetic and oncological outcomes ; quality of life ; rare breast cancer ; osteoclast-like giant cells ; gene profiling ; Oncotype Dx ; adjuvant treatment ; neoadjuvant chemotherapy ; sentinel lymph node ; systemic treatment ; locally advanced breast cancer ; mini-invasive treatment ; liver metastases ; hepatic surgery ; personalized medicine ; sarcopenia ; physical performance ; frailty ; older cancer patients ; clinical trial ; patient enrollment ; artificial intelligence ; machine learning ; lung cancer ; oncology ; web app ; conventional CT and CT angiography ; DIEP flap planning ; multidisciplinary treatment ; evidence-based medicine ; personalized treatment ; oncological outcomes ; patient quality of life ; normal breast ; breast pathology ; hormone receptor ; hormone expression ; lymphedema ; lymphaticovenous anastomosis ; vascularized lymph node transfer ; lymphatic microsurgery ; radiotherapy ; oligometastatic breast cancer ; locoregional therapy ; CDK4/6 inhibitors ; multidisciplinary ; AMH ; ovarian reserve ; pregnancy desire ; subtypes breast cancer ; miRNAs ; breast cancer treatment ; next-generation-sequencing ; target therapy ; old age ; survival ; vitamin D ; ductal breast cancer ; in situ breast cancer ; lobular breast cancer ; histology ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 68
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Additive manufacturing (AM) or, more commonly, 3D printing is one of the fundamental elements of Industry 4.0. and the fourth industrial revolution. It has shown its potential example in the medical, automotive, aerospace, and spare part sectors. Personal manufacturing, complex and optimized parts, short series manufacturing and local on-demand manufacturing are some of the current benefits. Businesses based on AM have experienced double-digit growth in recent years. Accordingly, we have witnessed considerable efforts in developing processes and materials in terms of speed, costs, and availability. These open up new applications and business case possibilities all the time, which were not previously in existence. Most research has focused on material and AM process development or effort to utilize existing materials and processes for industrial applications. However, improving the understanding and simulation of materials and AM process and understanding the effect of different steps in the AM workflow can increase the performance even more. The best way of benefit of AM is to understand all the steps related to that—from the design and simulation to additive manufacturing and post-processing ending the actual application.The objective of this Special Issue was to provide a forum for researchers and practitioners to exchange their latest achievements and identify critical issues and challenges for future investigations on “Modeling, Simulation and Data Processing for Additive Manufacturing”. The Special Issue consists of 10 original full-length articles on the topic.
    Keywords: selective laser melting ; finite element analysis ; thermodynamic behavior ; substrate preheating ; scanning strategy ; 24CrNiMo alloy steel ; additive manufacturing ; rapid manufacturing ; rapid prototyping ; 3D printing ; medical ; implants ; dental ; processes ; methods ; clinical ; laser additive manufacturing ; Inconel 718 ; pure Ti ; finite element modeling ; melt-pool formation ; thermo-mechanical modelling ; residual stresses ; microstructure ; Ti-6Al-4V ; acoustics ; porous materials ; material extrusion ; design for additive manufacturing ; sound absorption ; artificial neural network ; machine learning ; quality control management ; process optimization ; computing techniques ; ICT systems ; laser powder bed fusion (LPBF) ; benchmark test artifact ; numerical simulations ; dimensional metrology ; geometric dimensioning and tolerancing (GD&T) ; selective laser melting (SLM) ; lattice structure ; bimetallic composite ; mechanical properties ; finite element analysis (FEA) ; digital image correlation (DIC) ; hybrid manufacturing ; inconel 625 ; EDS microanalysis ; automatic image analysis ; laser melting ; laser sintering ; AlSi10Mg ; PA12 ; Round-Robin ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 69
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: 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.
    Keywords: 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 70
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: The importance of evapotranspiration is well-established in different disciplines such as hydrology, agronomy, climatology, and other geosciences. Reliable estimates of evapotranspiration are also vital to develop criteria for in-season irrigation management, water resource allocation, long-term estimates of water supply, demand and use, design and management of water resources infrastructure, and evaluation of the effect of land use and management changes on the water balance. The objective of this Special Issue is to define and discuss several ET terms, including potential, reference, and actual (crop) ET, and present a wide spectrum of innovative research papers and case studies.
    Keywords: evapotranspiration ; machine learning ; local ; spatial ; subhumid climate ; agricultural drought ; drought characteristics ; evapotranspiration deficit index ; parameter sensitivity ; temporal scale sensitivity ; water stress anomaly ; interception ; linear storage model ; evaporation ; cover crop ; water balance ; faba bean ; GK2A/AMI ; artificial neural network ; Korean Peninsula ; CWSI ; UAV ; remote sensing ; micrometeorological data ; spatial IRT measurements ; crop irrigation scheduling and management ; infrared radiometer sensors ; real-time data analysis ; water reservoir ; regression ; observed data ; ERA5-Land data ; R language ; precipitation ; drought ; Mann–Kendall ; trend analysis ; actual evapotranspiration ; potential evapotranspiration ; reference evapotranspiration ; evaporation paradox ; global dimming ; wind stilling ; forest fires ; groundwater ; stochastic simulation ; marginal structure ; long-range dependence ; Hurst–Kolmogorov dynamics ; RASPOTION ; parametric model ; hydrological calibration ; evapotranspiration estimation ; urban rain gardens ; lysimeters ; evapotranspiration models ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 71
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-31
    Description: Non-invasive biomedical sensors for monitoring physiological parameters from the human body for potential future therapies and healthcare solutions. Today, a critical factor in providing a cost-effective healthcare system is improving patients' quality of life and mobility, which can be achieved by developing non-invasive sensor systems, which can then be deployed in point of care, used at home or integrated into wearable devices for long-term data collection. Another factor that plays an integral part in a cost-effective healthcare system is the signal processing of the data recorded with non-invasive biomedical sensors. In this book, we aimed to attract researchers who are interested in the application of signal processing methods to different biomedical signals, such as an electroencephalogram (EEG), electromyogram (EMG), functional near-infrared spectroscopy (fNIRS), electrocardiogram (ECG), galvanic skin response, pulse oximetry, photoplethysmogram (PPG), etc. We encouraged new signal processing methods or the use of existing signal processing methods for its novel application in physiological signals to help healthcare providers make better decisions.
    Keywords: movement intention ; brain–computer interface ; movement-related cortical potential ; neurorehabilitation ; phonocardiogram ; machine learning ; empirical mode decomposition ; feature extraction ; mel-frequency cepstral coefficients ; support vector machines ; computer aided diagnosis ; congenital heart disease ; statistical analysis ; convolutional neural network (CNN) ; long short-term memory (LSTM) ; emotion recognition ; EEG ; ECG ; GSR ; deep neural network ; physiological signals ; electroencephalography ; Brain-Computer Interface ; multiscale principal component analysis ; successive decomposition index ; motor imagery ; mental imagery ; classification ; hybrid brain-computer interface (BCI) ; home automation ; electroencephalogram (EEG) ; steady-state visually evoked potential (SSVEP) ; eye blink ; short-time Fourier transform (STFT) ; convolution neural network (CNN) ; human machine interface (HMI) ; rehabilitation ; wheelchair ; quadriplegia ; Raspberry Pi ; image gradient ; AMR voice ; Open-CV ; image processing ; acoustic ; startle ; reaction ; response ; reflex ; blink ; mobile ; sound ; stroke ; EMG ; brain-computer interface ; myoelectric control ; pattern recognition ; functional near-infrared spectroscopy ; z-score method ; channel selection ; region of interest ; channel of interest ; respiratory rate (RR) ; Electrocardiogram (ECG) ; ECG derived respiration (EDR) ; auscultation sites ; pulse plethysmograph ; biomedical signal processing ; feature selection and reduction ; discrete wavelet transform ; hypertension ; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 72
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: Optical fiber communication industry has gained unprecedented opportunities and achieved rapid progress in recent years. However, with the increase of data transmission volume and the enhancement of transmission demand, the optical communication field still needs to be upgraded to better meet the challenges in the future development. Artificial intelligence technology in optical communication and optical network is still in its infancy, but the existing achievements show great application potential. In the future, with the further development of artificial intelligence technology, AI algorithms combining channel characteristics and physical properties will shine in optical communication. This reprint introduces some recent advances in optical fiber communication and optical network, and provides alternative directions for the development of the next generation optical fiber communication technology.
    Keywords: optical communication ; frame transmission ; synchronization word ; blind recognition ; Hough transform ; machine learning ; optical communications ; patent analysis ; network analysis ; technical analysis ; fiber nonlinearities ; deep learning (DL) ; artificial intelligence (AI) ; BPSK-VSB ; BPSK-SSB ; fiber transmission ; optical neural networks ; time lens ; fiber ; dispersion Fourier transform ; high-flux imaging ; classification ; cancer cell recognition ; photon time stretching (PTS) ; passive optical networks ; laser tuning time ; TWDM ; Dynamic Bandwidth Allocation ; optical access networks ; scheduling ; FSOC system ; omnidirectional communication ; miniaturization ; ASE noise ; ICC ; DWDM-FSO/PON optical fiber network ; hybrid OOK/M-ary DPPM-M-PAPM ; hybrid fiber FSO (HFFSO) link ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 73
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-08-12
    Description: Over the past few decades, modern information technology has made a significant impact on people’s daily lives worldwide. In the field of health care and prevention, there has been a progressing penetration of assistive health services such as personal health records, supporting apps for chronic diseases, or preventive cardiological monitoring. In 2020, the range of personal health services appeared to be almost unmanageable, accompanied by a multitude of different data formats and technical interfaces. The exchange of health-related data between different healthcare providers or platforms may therefore be difficult or even impossible. In addition, health professionals are increasingly confronted with medical data that were not acquired by themselves, but by an algorithmic “black box”. Even further, externally recorded data tend to be incompatible with the data models of classical healthcare information systems.From the individual’s perspective, digital services allow for the monitoring of their own health status. However, such services can also overwhelm their users, especially elderly people, with too many features or barely comprehensible information. It therefore seems highly relevant to examine whether such “always at hand” services exceed the digital literacy levels of average citizens.In this context, this reprint presents innovative, health-related applications or services emphasizing the role of user-centered information technology, with a special focus on one of the aforementioned aspects.
    Keywords: fever ; FeverApp ; ecological momentary assessment ; user behavior ; sociodemographic characteristics ; registry ; guidelines ; feasibility ; usability ; routine health information system ; health management information system ; health system performance ; machine learning ; digital health ; registry analysis ; ClinicalTrials.gov ; device regulation ; new information technology ; Technology Acceptance Model (TAM) ; institution ; institutionalism ; digital informatics ; human–computer interaction ; personal health informatics ; consumer health data ; consumer health information ; self-tracking ; quantified self ; mHealth apps ; telemonitoring ; telemedicine ; telecardiology ; cardiology ; wearable ; sensors ; consumer health devices ; cardiovascular disease ; heart failure ; atrial fibrillation ; mental health ; psychiatry ; psychiatric record ; psychiatric notes ; patient accessible electronic health record ; PAEHR ; open notes ; policies ; COVID-19 ; technology acceptance ; user survey ; wearable health monitor ; ECG patch ; personal electronic health records ; technology adoption ; endogenous motivations ; health information privacy concern ; mixed-methods ; ePA ; online review helpfulness ; signaling theory ; sentiment analysis ; physician rating websites ; consumer decision-making ; health information technology ; information exchange ; hospital ; market ; bic Book Industry Communication::M Medicine
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 74
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: This book focuses on the tools and methods used for tackling the complexity of the different hydrological and hydrogeological set-ups, the hydrodynamic patterns, the site specifications, and the wide variability of internal and external factors and/or processes on the catchment-scale level that impose the need for combined integrated approaches of robust methods. This Special Issue aims to provide successful applications or new insights on the stand-alone or joint considerations of groundwater resources assessment and characterization methods and explore new state-of-the-art methodological concepts in light of a rapidly changing environment.
    Keywords: drought ; precipitation ; SPI ; groundwater salinization ; karst ; seawater intrusion ; Soil and Water Assessment Tool ; SEAWAT model ; irrigation management ; groundwater ; climate change ; sea level rise ; nitrate ; leachate ; modelling ; validation ; state scale ; integrated water resources management ; coastal agricultural basin ; groundwater nitrate pollution ; hydrochemistry ; hydrodynamics ; environmental isotopes ; Tirnavos basin ; groundwater recharge ; groundwater sustainability ; hydrology models ; Modder River ; sustainability index ; GALDIT ; monthly vulnerability ; seawater intrusion (SWI) ; vulnerability assessment ; effective weight ; densely populated area ; freshwater–saltwater interactions ; multilayer coastal aquifer ; hydro-geochemistry ; Tevere River delta ; Ostia Antica archaeological park ; drinking and irrigation water scarcity ; groundwater potential mapping ; machine learning ; remote sensing ; GIS ; karstic mountainous aquifers ; Morocco ; hydrogeological properties ; natural groundwater fluctuations ; semi-arid zones ; depleting groundwater resources ; Guadalupe Valley Aquifer ; chromium ; ultramafic rocks ; springs ; water–rock interaction ; natural background levels ; aquifer ; intrinsic vulnerability ; RIVA method ; index-overlay method ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 75
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 76
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-11-17
    Description: The aim of ITISE 2022 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees. Therefore, ITISE 2022 is soliciting high-quality original research papers (including significant works-in-progress) on any aspect time series analysis and forecasting, in order to motivating the generation and use of new knowledge, computational techniques and methods on forecasting in a wide range of fields.
    Keywords: readmission prediction ; intensive care unit (ICU) ; recurrent neural network (RNN) ; longshort-term memory (LSTM) ; machine learning (ML) ; time series analysis ; health forecasting ; spectrum ; utilization ; prediction ; time-series ; clustering ; K-Means ; LSTM ; CNN ; outlier detection ; outlier detection in time series ; time series clustering ; time series cluster evaluation ; time series ; anomaly detection ; predictive maintenance ; model evaluation ; error diagnosis ; convolutional neural network ; all sky images ; cloud-base height ; machinelearning ; : financial market volatility ; VAR-DCC-GARCH ; wavelet-based random forest ; forecasting ; synthetic data ; shareable data ; privacy ; cross-correlation ; DCCA method ; oil derivatives ; energy ; accessibility ; retainability ; Markov chain ; K-mean clustering ; mobile data traffic ; multivariate prediction ; temporal ; spatial ; COVID-19 ; time series forecasting ; NARNN ; ARIMA ; dynamic convergence ; stationarity ; unit root ; ecosystem respiration ; dynamic mode decomposition with control ; time delay embedding ; ordinal patterns ; structural breaks ; non-stationary time series ; hydrological data ; prediction intervals ; seq2seq ; oil production ;  automated machine learning ; machine learning ; time-series forecasting ;  PV systems ; faults ; diagnosis ; signal processing ; time series data ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 77
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This book is a collection of feature articles published in Risks in 2020. They were all written by experts in their respective fields. In these articles, they all develop and present new aspects and insights that can help us to understand and cope with the different and ever-changing aspects of risks. In some of the feature articles the probabilistic risk modeling is the central focus, whereas impact and innovation, in the context of financial economics and actuarial science, is somewhat retained and left for future research. In other articles it is the other way around. Ideas and perceptions in financial markets are the driving force of the research but they do not necessarily rely on innovation in the underlying risk models. Together, they are state-of-the-art, expert-led, up-to-date contributions, demonstrating what Risks is and what Risks has to offer: articles that focus on the central aspects of insurance and financial risk management, that detail progress and paths of further development in understanding and dealing with...risks. Asking the same type of questions (which risk allocation and mitigation should be provided, and why?) creates value from three different perspectives: the normative perspective of market regulator; the existential perspective of the financial institution; the phenomenological perspective of the individual consumer or policy holder.
    Keywords: medical services’ consumption ; lifestyle factors ; insurance plan ; structural equation model ; stock–bond correlation ; VIX ; economic policy uncertainty ; monetary policy uncertainty ; fiscal policy uncertainty ; agricultural commodity futures ; price discovery ; market reflexivity ; Hawkes process ; poisson autoregressive models ; contagion ; predictive monitoring ; information-based asset pricing ; Lévy processes ; gamma processes ; variance gamma processes ; Brownian bridges ; gamma bridges ; nonlinear filtering ; house price prediction ; real estate ; machine learning ; random forest ; Lévy process ; subordination ; option pricing ; risk sensitivity ; stochastic volatility ; Greeks ; time-change ; time series ; volatility ; probability-integral transform ; ARMA model ; copula
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 78
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-01
    Description: People with congenital and/or acquired disabilities constitute a great number of dependents today. Robotic platforms to help people with disabilities are being developed with the aim of providing both rehabilitation treatment and assistance to improve their quality of life. A high demand for robotic platforms that provide assistance during rehabilitation is expected because of the health status of the world due to the COVID-19 pandemic. The pandemic has resulted in countries facing major challenges to ensure the health and autonomy of their disabled population. Robotic platforms are necessary to ensure assistance and rehabilitation for disabled people in the current global situation. The capacity of robotic platforms in this area must be continuously improved to benefit the healthcare sector in terms of chronic disease prevention, assistance, and autonomy. For this reason, research about human–robot interaction in these robotic assistance environments must grow and advance because this topic demands sensitive and intelligent robotic platforms that are equipped with complex sensory systems, high handling functionalities, safe control strategies, and intelligent computer vision algorithms. This Special Issue has published eight papers covering recent advances in the field of robotic platforms to assist disabled people in daily or clinical environments. The papers address innovative solutions in this field, including affordable assistive robotics devices, new techniques in computer vision for intelligent and safe human–robot interaction, and advances in mobile manipulators for assistive tasks.
    Keywords: sensors ; electronic platform ; machine learning ; wearables ; hand motor rehabilitation ; sEMG ; hand pose ; social robot ; physical human-robot interaction ; assistive robotics ; collaborative robots ; brain–machine interfaces ; EEG ; exoskeleton ; motor imagery ; human–robot interaction ; human pose estimation ; robotic rehabilitation ; visually impaired assistance ; navigation system ; knowledge graph ; dialogue system ; NLP ; reasoning ; multimodal interfaces ; robotic exoskeleton ; n/a ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 79
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: As the scaling of electronic semiconductor devices displays signs of saturation, the main focus of research in microelectronics is shifting towards finding new computing paradigms. Electron spin offers additional functionality to digital charge-based devices. Several fundamental problems, including spin injection to a semiconductor, spin propagation and relaxation, and spin manipulation by the gate voltage, have been successfully resolved to open a path towards spin-based reprogrammable electron switches. Devices employing electron spin are nonvolatile; they are able to preserve the stored information without external power. Emerging nonvolatile devices are electrically addressable, possess a simple structure, and offer endurance and speed superior to flash memory. Having nonvolatile memory very close to CMOS offers a prospect of data processing in the nonvolatile segment, where the same devices are used to store and process the information. This opens perspectives for conceptually new low-power computing paradigms within Artificial Intelligence of Things (AIoT). This Special Issue focuses on all topics related to spintronic devices such as spin-based switches, magnetoresistive memories, energy harvesting devices, and sensors that can be employed in in-memory computing concepts and in Artificial Intelligence.
    Keywords: magnetic contacts ; reliability ; practical tests ; reaction distance ; extreme conditions ; spin-orbit torque MRAM ; reinforcement learning ; two-pulse switching scheme ; magnetic field-free switching ; machine learning ; torque ; the calculation in memory ; automation ; magnetic recording ; magnetic read heads ; current perpendicular-to-the-plane giant magnetoresistance ; Heusler alloys ; bit-patterned media ; exchange-coupled-composite media ; microwave-assisted magnetic recording ; hysteresis loop ; combined spin-transfer torque (STT) and spin-orbit torque (SOT) switching ; field like torque ; damping like torque ; magnetic tunnel junction ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 80
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 81
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-10-25
    Description: Over the last few years, the subject of food authenticity and food fraud has received increasing attention from consumers and other stakeholders, such as government agencies and policymakers, control labs, producers, industry, and the research community. Among the different approaches aiming to identify, tackle, and/or deter fraudulent practices in the agri-food sector, the development of new, fast, and accurate methodologies to evaluate food authenticity is of major importance. This book, entitled “Target and Non-Target Approaches for Food Authenticity and Traceability”, gathers original research and review papers focusing on the development and application of both targeted and non-targeted methodologies applied to verify food authenticity and traceability. The contributions regard different foods, among which some are frequently considered as the most prone to adulteration, such as olive oil, honey, meat, and fish. This book is intended for readers aiming to enrich their knowledge through reading contemporary and multidisciplinary papers on the topic of food authentication.
    Keywords: COIBar–RFLP (cytochrome oxidase I barcode–restriction fragment length polymorphism) ; seafood ; fraud ; DNA barcoding ; food authenticity ; food adulteration ; food fraud ; donkey ; cytochrome b ; real-time PCR ; meat products ; honey ; regional origin ; chemometric analysis ; mineral content ; Montenegro ; Sepia ; common cuttlefish ; Sepia officinalis ; real-time PCR (Polymerase Chain Reaction) ; species identification ; food authentication ; COI (Cytochrome Oxidase I) ; Olea europaea var Sylvestris ; oleaster ; olive ; olive oil ; adulteration ; SNP ; DNA ; virgin olive oil ; quality ; volatile compounds ; sensory analysis ; chemometrics ; anti food fraud ; Curcuma longa ; DNA markers ; SYBR-GREEN real-time PCR ; Zea mays ; pasta ; Triticum aestivum ; Triticum durum ; genetic traceability ; digital PCR ; semolina ; species ; truffle ; Tuber spp. ; species differentiation ; near-infrared spectroscopy ; red deer ; roe deer ; water deer ; multiplex PCR ; capillary electrophoresis ; perilla ; sesame ; geographic origin ; metabolomics ; multivariate analysis ; metabolite profiling ; quantification ; chicken ; guinea fowl ; pheasant ; quail ; turkey ; authentication ; authenticity ; chemometric ; fish ; origin ; meat ; milk ; spectroscopy ; 1H-NMR ; GC-MS ; HPLC-UV/VIS ; protein hydrolysate ; free amino acid contents ; ProHydrAdd ; monofloral honey ; direct analysis in real time (DART) ; high resolution mass spectrometry (HRMS) ; geographical origin ; Ginkgo biloba ; plant infusions ; real-time polymerase chain reaction ; DNA extraction ; opium poppy ; seed ; pollen grains ; bakery product ; oil ; PCR ; Salmo salar L. ; fatty acids ; mislabeling ; machine learning ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 82
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: Genomics technologies revolutionised biomedicine research, but the genome alone is not sufficient to capture biological complexity. Postgenomic methods, typically based on mass spectrometry, comprise the analysis of metabolites, lipids, and proteins and are an essential complement to genomics and transcriptomics. Multidimensional omics is becoming established to provide accurate and comprehensive state descriptions. This book covers the latest methodological developments for, and applications of integrative multi-omics in biomedical research.
    Keywords: target identification ; target validation ; label-free method for drugs ; anti-angiogenesis ; mechanism of action ; receptor tyrosine kinases ; curcumin ; natural products ; lipid ; lipidomics ; cardiac metaplasia ; Barrett’s esophagus ; esophageal adenocarcinoma ; microbiota ; DNA sensing ; IFI16 ; cGAS ; innate immunity ; protein interactions ; virus–host interactions ; post-translational modifications ; mass spectrometry ; proteomics ; transcriptomics ; multi-omics ; multi-omics analysis ; study design ; bioinformatics ; machine learning ; analysis flow ; metabolomics ; planned myocardial infarction (PMI) ; myocardial infarction (MI) ; exercise ; heart ; cheminformatics ; batch variations ; eicosanoids ; fetal calf serum ; peroxisomes ; host-pathogen interactions ; secretome ; macrophages ; acute myeloid leukemia ; HL-60 cell line ; ATRA ; induced differentiation ; transcriptome ; proteome ; transcription factors ; key molecules ; regulatory pathway modelling ; SRM ; endometriosis ; inflammation ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 83
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: At present, the manufacturing industry is focused on the production of lighter weight components with better mechanical properties and always fulfilling all the environmental requirements. These challenges have caused a need for developing manufacturing processes in general, including obviously those devoted in particular to the development of thin-walled metallic shapes, as is the case with tubular and sheet metal parts and devices.This Special Issue is thus devoted to research in the fields of sheet metal forming and tube forming, and their applications, including both experimental and numerical approaches and using a variety of scientific and technological tools, such as forming limit diagrams (FLDs), analysis on formability and failure, strain analysis based on circle grids or digital image correlation (DIC), and finite element analysis (FEA), among others.In this context, we are pleased to present this Special Issue dealing with recent studies in the field of tube and sheet metal forming processes and their main applications within different high-tech industries, such as the aerospace, automotive, or medical sectors, among others.
    Keywords: micro tube ; hollow sinking ; plastic anisotropy ; surface quality ; size effect ; plasticity ; strength ; metallic tubes ; finite element analysis ; accumulative extrusion bonding ; kinematic bending ; product properties ; local heating ; profile bending ; asymmetric profile ; warping ; superimposed hydrostatic pressure ; shear damage growth ; fracture strain ; finite element analysis (FEA) ; additive manufacturing ; rapid prototyping ; sheet metal forming ; V-bending ; groove pressing ; HA-SPIF ; surface finish ; machine learning ; Ti6Al4V ; R-value ; thickness strain ; digital image correlation ; multi-camera DIC ; non-destructive testing ; single point incremental forming ; tube expansion ; formability ; fracture ; stress-triaxiality ; strain-hardening ; viscoplasticity ; bending ; semi-analytic solution ; Ti-6Al-4V ELI ; superplastic forming ; custom prosthesis ; in vivo tests ; 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
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 84
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 85
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-11-17
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 86
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: 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.
    Keywords: 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 87
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Recent advances in information technology have brought forth a paradigm shift in science, especially in the biology and medical fields. Statistical methodologies based on high-performance computing and big data analysis are now indispensable for the qualitative and quantitative understanding of experimental results. In fact, the last few decades have witnessed drastic improvements in high-throughput experiments in health science, for example, mass spectrometry, DNA microarray, next generation sequencing, etc. Those methods have been providing massive data involving four major branches of omics (genomics, transcriptomics, proteomics, and metabolomics). Information about amino acid sequences, protein structures, and molecular structures are fundamental data for the prediction of bioactivity of chemical compounds when screening drugs. On the other hand, cell imaging, clinical imaging, and personal healthcare devices are also providing important data concerning the human body and disease. In parallel, various methods of mathematical modelling such as machine learning have developed rapidly. All of these types of data can be utilized in computational approaches to understand disease mechanisms, diagnosis, prognosis, drug discovery, drug repositioning, disease biomarkers, driver mutations, copy number variations, disease pathways, and much more. In this Special Issue, we have published 8 excellent papers dedicated to a variety of computational problems in the biomedical field from the genomic level to the whole-person physiological level.
    Keywords: water temperature ; bathing ; ECG ; heart rate variability ; quantitative analysis ; t-test ; hypertrophic cardiomyopathy ; data mining ; automated curation ; molecular mechanisms ; atrial fibrillation ; sudden cardiac death ; heart failure ; left ventricular outflow tract obstruction ; cardiac fibrosis ; myocardial ischemia ; compound–protein interaction ; Jamu ; machine learning ; drug discovery ; herbal medicine ; data augmentation ; deep learning ; ECG quality assessment ; drug–target interactions ; protein–protein interactions ; chronic diseases ; drug repurposing ; maximum flow ; adenosine methylation ; m6A ; RNA modification ; neuronal development ; genetic variation ; copy number variants ; disease-related traits ; sequential order ; association test ; blood pressure ; cuffless measurement ; longitudinal experiment ; plethysmograph ; nonlinear regression ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 88
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: Extremely popular for statistical inference, Bayesian methods are also becoming popular in machine learning and artificial intelligence problems. Bayesian estimators are often implemented by Monte Carlo methods, such as the Metropolis–Hastings algorithm of the Gibbs sampler. These algorithms target the exact posterior distribution. However, many of the modern models in statistics are simply too complex to use such methodologies. In machine learning, the volume of the data used in practice makes Monte Carlo methods too slow to be useful. On the other hand, these applications often do not require an exact knowledge of the posterior. This has motivated the development of a new generation of algorithms that are fast enough to handle huge datasets but that often target an approximation of the posterior. This book gathers 18 research papers written by Approximate Bayesian Inference specialists and provides an overview of the recent advances in these algorithms. This includes optimization-based methods (such as variational approximations) and simulation-based methods (such as ABC or Monte Carlo algorithms). The theoretical aspects of Approximate Bayesian Inference are covered, specifically the PAC–Bayes bounds and regret analysis. Applications for challenging computational problems in astrophysics, finance, medical data analysis, and computer vision area also presented.
    Keywords: bifurcation ; dynamical systems ; Edward–Sokal coupling ; mean-field ; Kullback–Leibler divergence ; variational inference ; Bayesian statistics ; machine learning ; variational approximations ; PAC-Bayes ; expectation-propagation ; Markov chain Monte Carlo ; Langevin Monte Carlo ; sequential Monte Carlo ; Laplace approximations ; approximate Bayesian computation ; Gibbs posterior ; MCMC ; stochastic gradients ; neural networks ; Approximate Bayesian Computation ; differential evolution ; Markov kernels ; discrete state space ; ergodicity ; Markov chain ; probably approximately correct ; variational Bayes ; Bayesian inference ; Markov Chain Monte Carlo ; Sequential Monte Carlo ; Riemann Manifold Hamiltonian Monte Carlo ; integrated nested laplace approximation ; fixed-form variational Bayes ; stochastic volatility ; network modeling ; network variability ; Stiefel manifold ; MCMC-SAEM ; data imputation ; Bethe free energy ; factor graphs ; message passing ; variational free energy ; variational message passing ; approximate Bayesian computation (ABC) ; differential privacy (DP) ; sparse vector technique (SVT) ; Gaussian ; particle flow ; variable flow ; Langevin dynamics ; Hamilton Monte Carlo ; non-reversible dynamics ; control variates ; thinning ; meta-learning ; hyperparameters ; priors ; online learning ; online optimization ; gradient descent ; statistical learning theory ; PAC–Bayes theory ; deep learning ; generalisation bounds ; Bayesian sampling ; Monte Carlo integration ; PAC-Bayes theory ; no free lunch theorems ; sequential learning ; principal curves ; data streams ; regret bounds ; greedy algorithm ; sleeping experts ; entropy ; robustness ; statistical mechanics ; complex systems ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 89
    facet.materialart.
    Unknown
    Logos Verlag Berlin | Logos Verlag Berlin
    Publication Date: 2024-04-05
    Description: In 2005, the hybrid model was published by Prof. H.-D. Alber and Prof. P. Zhu as an alternative to the Allen-Cahn model for the description of phase field transformations. With low interfacial energy, it is more efficient, since the resolution of the diffuse interface is numerically broader for the same solution accuracy and allows coarser meshing. The solutions of both models are associated with energy minimisation and in this work the error terms introduced in the earlier publications are discussed and documented using one and two dimensional numerical simulations. In the last part of this book, phase field problems, initially not coupled with material equations, are combined with linear elasticity and, after simple introductory examples, a growing martensitic inclusion is simulated and compared with literature data. In addition to the confirmed numerical advantage, another phenomenon not previously described in the literature is found: with the hybrid model, in contrast to the examples calculated with the Allen-Cahn model, an inclusion driven mainly by curvature energy does not disappear completely. The opposite problem prevents inclusions from growing from very small initial configurations, but this fact can be remedied by a very finely chosen diffuse interface width and by analysing and adjusting the terms that generate the modelling errors. The last example shows that the hybrid model can be used with numerical advantages despite the above mentioned peculiarities.
    Keywords: Science ; Chemistry ; Mathematics ; Science ; Physics ; thema EDItEUR::P Mathematics and Science::PN Chemistry ; thema EDItEUR::P Mathematics and Science::PB Mathematics ; thema EDItEUR::P Mathematics and Science::PH Physics
    Language: English
    Format: image/jpeg
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 90
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems.
    Keywords: passive house ; enclosure structure ; heat transfer coefficient ; energy consumption ; turbo-propeller ; regional ; fuel ; weight ; range ; design ; CO2 reduction ; multi-objective combinatorial optimization ; meta-heuristics ; ant colony optimization ; non-intrusive load monitoring ; appliance classification ; appliance feature ; recurrence graph ; weighted recurrence graph ; V–I trajectory ; convolutional neural network ; energy baselines ; machine learning ; clustering ; neural methods ; smart intelligent systems ; building energy consumption ; building load forecasting ; energy efficiency ; thermal improved of buildings ; anti-icing ; heat and mass transfer ; heating power distribution ; heat load reduction ; optimization method ; experimental validation ; big data process ; predictive maintenance ; fracturing roofs to maintain entry (FRME) ; field measurement ; numerical simulation ; side abutment pressure ; strata movement ; energy ; manufacturing ; prediction ; forecasting ; modelling ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 91
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: The most influential research topic in the twenty-first century seems to be mathematics, as it generates innovation in a wide range of research fields. It supports all engineering fields, but also areas such as medicine, healthcare, business, etc. Therefore, the intention of this Special Issue is to deal with mathematical works related to engineering and multidisciplinary problems. Modern developments in theoretical and applied science have widely depended our knowledge of the derivatives and integrals of the fractional order appearing in engineering practices. Therefore, one goal of this Special Issue is to focus on recent achievements and future challenges in the theory and applications of fractional calculus in engineering sciences. The special issue included some original research articles that address significant issues and contribute towards the development of new concepts, methodologies, applications, trends and knowledge in mathematics. Potential topics include, but are not limited to, the following: Fractional mathematical models; Computational methods for the fractional PDEs in engineering; New mathematical approaches, innovations and challenges in biotechnologies and biomedicine; Applied mathematics; Engineering research based on advanced mathematical tools.
    Keywords: fractional order IMC ; first order plus dead-time processes ; event-based implementation ; numerical simulations ; comparative closed loop results ; nonlinear wave phenomen ; RBF ; local RBF-FD ; stability ; unmanned aerial vehicle (UAV) ; quaternion-based estimator ; low-cost design ; automatic optical inspection ; kinetic theory ; parallel robots ; robust control ; sliding mode control ; basinI ; basinII ; mean pressure head ; pressure head with different probabilities of occurrence ; standard deviation of the pressure fluctuations ; statistical modeling ; USBR ; desalination ; humidification-dehumidification ; waste heat recovery ; mathematical model ; yearly analysis ; thermo-economics ; multi-objective optimization ; cruise altitude ; fuel consumption ; time to climb ; Hermite-Simpson method ; trajectory optimization ; terminal residual analysis (TRA) ; m-σ terminal residual analysis (m-σ TRA) ; power transformer ; stray losses ; analytical methods ; finite element method ; gridshell structures ; shape ratio ; length ratio ; regularity ; particle swarm optimization ; genetic algorithm ; hybrid nanofluid ; dual solutions ; mixed convection ; stagnation point ; radiation ; stability analysis ; machine learning ; eXterme Gradient Boosting ; Computation Fluid Dynamics ; blade vibration ; unsteady aerodynamic model ; active disturbance rejection control (ADRC) ; multiobjective optimization ; time delay systems ; tuning rules ; soft robotics ; fractional calculus ; CACSD toolbox ; operating point linearization ; automatic uncertainty bound computation ; Model-in-the-Loop simulation ; hybrid simulation ; ℋ∞ control ; μ synthesis ; DC-to-DC power converters ; buck ; boost ; SEPIC ; rainfall-runoff model ; curve number ; inferential statistics ; 3D runoff difference model ; model calibration ; PAT model ; modified affinity laws ; hydraulic simulation tool ; μ-synthesis ; fractional-order control ; swarm optimization ; artificial bee colony optimization ; CNC machine ; mixed sensitivity ; D–K iteration ; Linear Matrix Inequality ; biotechnology ; fermentation process ; batch bioreactors ; modeling ; control system design and synthesis ; linear control ; adaptive control ; model reference adaptive control ; control system realization ; mixed-sensitivity ; FO-PID ; twin rotor aerodynamic system ; 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
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 92
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-01
    Description: The "Age-Friendly Cities & Communities: States of the Art and Future Perspectives" publication presents contemporary, innovative, and insightful narratives, debates, and frameworks based on an international collection of papers from scholars spanning the fields of gerontology, social sciences, architecture, computer science, and gerontechnology. This extensive collection of papers aims to move the narrative and debates forward in this interdisciplinary field of age-friendly cities and communities.
    Keywords: age-friendly cities ; physical environment/space ; urban ageing ; gentrification ; displacement ; aging in place ; physical activity ; aging ; social isolation ; cycling ; walking ; ICT ; older adults ; patent ; personalised ageing ; quality of life ; review ; smart ageing ; social robots ; ambient assisted living ; machine learning ; older adults care ; daily life activities monitoring ; technology limitation and acceptance ; care services models ; older citizens ; ageing ; technology ; digital ; smart cities initiatives ; smart city ; Romania ; public policies on smart cities ; evaluating smart cities initiatives ; older people ; connectedness ; social relationships ; later life ; age-friendliness ; community ; digital technology ; loneliness ; isolation ; intergenerational communication ; gerontology ; family ; cross-cultural research ; qualitative research ; housing ; elderly ; assisted living facilities ; seniors ; homes ; group living ; dwellings ; regulations ; rebellion ; governance ; law ; survey ; questionnaire ; validation ; age-friendly ; AFCCQ ; consultation-liaison psychiatry ; psycho-geriatrics ; general hospital ; age-friendly urban public transport ; smart mobility ; age-friendly transport ; mobility justice ; health ; indicators ; planning ; tools ; spatial ; neighbourhoods ; e-health ; urban planning ; smart ecosystem ; gerontechnology ; age in place ; coronavirus ; COVID-19 ; design hacking ; internet of things ; human-centered design ; smart cities ; digital citizenship ; urbanisation ; participatory action research ; cluster analysis ; thermal comfort ; design guidelines ; heating ; cooling ; participatory video design ; participation ; person-centered care ; co-creation ; perspective of older adults ; quality improvement ; use of technology ; Tāmaki Makaurau Auckland ; Polynesian population ; relational leadership ; Te Tiriti o Waitangi ; prisons ; prisoners ; older offenders ; ex-prisoners ; age-friendly cities and communities ; Kazan ; Russia ; health information ; ageism ; Cochrane ; evidence-based ; medicines ; consumers ; awareness ; Age-Friendly Cities ; photovoice ; healthy ageing ; active ageing ; social inclusion ; UK ; long-term care ; dementia ; physical environment ; social environment ; organizational environment ; environmental design ; policy ; case studies ; Global Network of Age-Friendly Cities and Communities ; World Health Organization ; social prescribing ; wearable technology ; digital data layer ; age-friendly communities ; citizen science ; well-being ; gender ; Coronavirus ; human centred design ; rural planning ; smart islands ; age-friendly homes ; innovation ; experiments ; n/a ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 93
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: This book represents one of the most up-to-date collections of articles on clinical practice and research in the field of Autism Spectrum Disorders (ASD). The scholars who contributed to this book are experts in their field, carrying out cutting edge research in prestigious institutes worldwide (e.g., Harvard Medical School, University of California, MIND Institute, King’s College, Karolinska Institute, and many others). The book addressed many topics, including (1) The COVID-19 pandemic; (2) Epidemiology and prevalence; (3) Screening and early behavioral markers; (4) Diagnostic and phenotypic profile; (5) Treatment and intervention; (6) Etiopathogenesis (biomarkers, biology, and genetic, epigenetic, and risk factors); (7) Comorbidity; (8) Adulthood; and (9) Broader Autism Phenotype (BAP). This book testifies to the complexity of performing research in the field of ASD. The published contributions underline areas of progress and ongoing challenges in which more certain data is expected in the coming years. It would be desirable that experts, clinicians, researchers, and trainees could have the opportunity to read this updated text describing the challenging heterogeneity of Autism Spectrum Disorder.
    Keywords: autism spectrum disorder ; infants ; frontal EEG alpha asymmetry ; early detection ; autism spectrum disorders ; toddlers ; eye tracking ; joint attention ; longitudinal ; regression ; cytokines ; PAI-1 ; neuroinflammation ; gastrointestinal ; autism ; literature review ; comorbidity ; early intervention ; early intensive behavioral intervention ; behavioral intervention ; First Year Inventory ; early screening ; risk ; cross-cultural generalisability ; validity ; preschool teachers ; self-efficacy ; knowledge ; belief ; skills ; identify ; autism spectrum disorder (ASD) ; level 1 and level 2 screening tools ; systematic review ; COSMIN ; PRISMA ; screening ; infection ; prion ; meta-analysis ; motion analysis ; video signal processing ; neurodevelopmental disorders ; infant screening ; n/a ; developmental language disorder ; semantic features ; word learning ; central coherence ; biomarker ; p-cresol ; mouse social behavior ; dopamine ; ASD ; vision ; proprioception ; self-motion ; immersive virtual reality ; IVR ; HMD ; technology ; persuasive text writing ; perspective-taking ; adolescence ; intervention ; sign language ; imitation ; cognition ; language acquisition ; prevalence estimate ; predictors ; surveillance review ; Autism Spectrum Disorder (ASD) ; early intensive intervention ; developmental trajectories ; moderators and mediators of intervention. ; psychosis ; schizophrenia ; psychopathology ; AQ ; accuracy ; attention to detail ; self-awareness ; insight ; preconception risk factor ; Gilles de la Tourette ; obsession ; compulsion ; social behavior ; social impairment ; sensory profile ; sensory responsiveness ; feeding problems ; short sensory profile (SSP) ; sensory experience questionnaire (SEQ) ; coronavirus ; 2019-nCoV ; neurodevelopment ; child and adolescent psychiatry ; mental health prevention ; Asperger syndrome ; adults ; cerebrospinal fluid ; antibodies ; blood–brain barrier ; GAD65 ; Early Start Denver Model ; high-risk infants ; motor development ; high-functioning autism ; language ; experience ; communication ; autonomic nervous system ; wearable technologies ; EEG ; theory of mind ; adults and adolescents ; human figure drawings ; Draw-a-Man ; drawings maturity ; social perception ; ERP ; reward response ; RewP ; sensitization ; social skills intervention ; PEERS® ; adulthood ; diagnosis ; autistic traits ; action observation ; action prediction ; context ; priors ; hypothalamus ; amygdala ; oxytocin ; social cognition ; social interaction ; affiliative behavior ; neuroimaging ; COVID-19 ; challenging behavior ; dental care ; oral health ; medical procedures ; ICT ; wearable sensors ; migration ; Europe ; health system ; autism in adulthood ; intellectual disability ; regressive autism ; epilepsy ; challenging behaviors ; empathy ; executive functions ; attention deficit and hyperactivity disorder ; disruptive behavior disorders ; alexithymia ; anxiety ; depression ; TAS-20 ; TSIA ; parents ; broader autism phenotype ; autistic-like features ; social-cognitive development ; stereotypical behaviors ; visual impairment ; language profiles ; grammatical comprehension ; cannabinoids ; cannabidiol ; cannabidivarin ; THC ; problem behaviors ; sleep ; hyperactivity ; side effects ; motor performance skills ; Gulf ; BOT-2 ; machine learning ; employment ; telehealth ; ABA ; RCT ; cortisol ; group activity ; stress ; art ; assessment ; sensorimotor integration ; postural balance ; false positive report probability (FPRP) ; Bayesian false-discovery probability (BFDP) ; Genome-Wide Association Studies (GWAS) ; microbiome ; metabolomics ; study design ; biomarker discovery ; precise medicine ; bipolar disorder ; suicidal ideation ; suicidal attempts ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 94
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: This Special Issue provides an insight, collated from 26 articles, focusing on various aspects of the Fit-For-Purpose Land Administration (FFPLA) concept and its application. It presents some influential and innovative trends and recommendations for designing, implementing, maintaining and further developing Fit-For-Purpose solutions for providing secure land rights at scale. The first group of 14 articles is published in Volume One and discusses various conceptual innovations related to spatial, legal and institutional aspects and its wider applications within land use management. The second group of 12 articles is published in Volume Two and focuses on case studies from various countries throughout the world, providing evidence and lessons learned from the FFPLA implementation process.
    Keywords: complete cadastre ; legal element ; fixing boundary ; eligible landowner ; agreement ; boundary marker ; fit-for-purpose land administration (FFP LA) ; violent conflict ; United Nations ; extra-legal ; transitional justice ; peace building ; land governance ; power relations ; securing land rights ; land registration ; development impacts ; fit-for-purpose land administration ; land administration ; decentralization ; India ; fit-for-purpose ; institutions ; governance ; politics ; Amazon ; deforestation ; Fit-For-Purpose land administration ; participatory mapping ; indigenous land conflict ; Cumaribo ; Colombia ; community-based land adjudication ; components of adjudication ; land tenure ; land rights ; good practices ; updating land records ; systematic land registration ; unconventional approach ; case study ; Benin ; cadaster ; land administration domain model ; LADM ; cadastre ; FFPLA ; customary tenure ; land inventory ; land management ; mobile-based applications ; pro-poor ; land surveying ; tenure security ; land rights and tenure ; fit-for-purpose approach ; human rights ; design science research ; design thinking ; fit for purpose ; spatial data quality ; spatial data quality assurance ; maintenance ; update ; upgrade ; upkeep ; renewal ; data quality ; spatial framework ; STDM ; technology ; UAV ; feature extraction ; rapid urbanization ; climate change ; pandemic ; urban resilience ; spatial ; legal ; and institutional frameworks ; land tenure security ; pro-poor land recordation ; land governance reform ; cost effectiveness ; innovative technology ; case studies ; Uganda ; customary land tenure ; land recordation tools ; semantic technologies ; land information system ; fit-for-purpose land management ; aerial and street level imagery ; machine learning ; integrated land programs ; land policy ; pilot study ; informal settlements ; urban development ; Brazil ; community-based crowdsourcing ; SiGIT ; Ecuador ; land and resources rights ; public-private partnerships ; corporate social responsibility ; poverty reduction ; business driven solutions ; social enterprises ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 95
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: This book is a reprint of the Special Issue entitled "The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?". Artificial intelligence is extending into the world of both digital radiology and digital pathology, and involves many scholars in the areas of biomedicine, technology, and bioethics. There is a particular need for scholars to focus on both the innovations in this field and the problems hampering integration into a robust and effective process in stable health care models in the health domain. Many professionals involved in these fields of digital health were encouraged to contribute with their experiences. This book contains contributions from various experts across different fields. Aspects of the integration in the health domain have been faced. Particular space was dedicated to overviewing the challenges, opportunities, and problems in both radiology and pathology. Clinal deepens are available in cardiology, the hystopathology of breast cancer, and colonoscopy. Dedicated studies were based on surveys which investigated students and insiders, opinions, attitudes, and self-perception on the integration of artificial intelligence in this field.
    Keywords: n/a ; eHealth ; medical devices ; mHealth ; digital radiology ; picture archive and communication system ; artificial intelligence ; electronic surveys ; chest CT ; chest radiography ; AI ; radiology ; awareness ; radiographers ; radiologists ; e-health ; m-health ; digital-pathology ; cytology ; histology ; diagnostic pathology ; breast cancer ; bibliometric analysis ; healthcare ; medical imaging ; VOSviewer ; digital-radiology ; artificial-intelligence ; acceptance ; consensus ; information technology ; cardiology ; imaging ; cervical cancer screening ; colposcopy ; deep learning ; machine learning ; medical students ; perceptions ; digitization in medicine ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 96
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-01
    Description: Biosensors and systems in the form of wearables and “nearables” (i.e., everyday sensorized objects with transmitting capabilities such as smartphones) are rapidly evolving for use in healthcare. Unlike conventional approaches, these technologies can enable seamless or on-demand physiological monitoring, anytime and anywhere. Such monitoring can help transform healthcare from the current reactive, one-size-fits-all, hospital-centered approach into a future proactive, personalized, decentralized structure. Wearable and nearable biosensors and systems have been made possible through integrated innovations in sensor design, electronics, data transmission, power management, and signal processing. Although much progress has been made in this field, many open challenges for the scientific community remain, especially for those applications requiring high accuracy. This book contains the 12 papers that constituted a recent Special Issue of Sensors sharing the same title. The aim of the initiative was to provide a collection of state-of-the-art investigations on wearables and nearables, in order to stimulate technological advances and the use of the technology to benefit healthcare. The topics covered by the book offer both depth and breadth pertaining to wearable and nearable technology. They include new biosensors and data transmission techniques, studies on accelerometers, signal processing, and cardiovascular monitoring, clinical applications, and validation of commercial devices.
    Keywords: tangent space ; Riemannian geometry ; particle swarm optimization (PSO) ; BCI ; EEG ; electro-oscillography (EOG) ; CSP ; FBCSP (filter bank common spatial pattern) ; online learning ; ballistocardiography ; pressure sensor ; Emfit ; home monitoring ; sleep recording ; sleep apnea ; unsupervised learning ; synchronization ; acoustic emissions ; joint sounds ; glove ; wearable sensing ; knee joint loading ; quaternion ; smartphone ; feature engineering ; human activity recognition ; sensor fusion ; ballistocardiogram ; blood pressure ; stroke volume ; cardiac output ; total peripheral resistance ; photoplethysmography ; photoplethysmogram ; heart rate ; consumer-wearable devices ; in-ear ; validation ; optical pulse rate monitoring ; pulse rate ; seismocardiography ; ultra-short heart rate variability ; stress evaluation ; accelerometers ; robotic assistant systems for surgery ; expertise ; pick-and-drop simulator task ; grip force profiles ; grip force control ; body sensor network ; wearable sensor ; telemedicine ; telerehabilitation ; seismocardiogram ; acceleration ; electrocardiogram ; cardiac mechanics ; pulse transit time ; adaptive recursive least squares filter (ARLSF) ; Seismocardiography (SCG) ; motion artifact ; Electrocardiogram (ECG) ; ageing ; gender ; machine learning ; support vector machine ; voice analysis ; pressure sensors ; compression therapy ; thin-film sensors ; wireless sensors ; medical pressure monitoring ; capacitive sensors ; flexible sensors ; LC sensor ; wound monitoring ; n/a ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 97
    facet.materialart.
    Unknown
    Springer Nature | Springer
    Publication Date: 2024-04-14
    Description: This open access book constitutes the refereed proceedings of the 18th China Annual Conference on Cyber Security, CNCERT 2022, held in Beijing, China, in August 2022. The 17 papers presented were carefully reviewed and selected from 64 submissions. The papers are organized according to the following topical sections: ​​data security; anomaly detection; cryptocurrency; information security; vulnerabilities; mobile internet; threat intelligence; text recognition.
    Keywords: application service layer ; artificial intelligence ; communication systems ; computer crime ; computer networks ; computer security ; computer systems ; cryptography ; cyber security ; data communication systems ; data security ; databases ; machine learning ; network protocols ; network security ; privacy ; signal processing ; telecommunication networks ; telecommunication systems ; thema EDItEUR::U Computing and Information Technology::UR Computer security ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTN Network security
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 98
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-24
    Description: Although advances in therapeutic interventions improved outcomes, vascular occlusive diseases are still challenging not only afflicted but also attending physicians, requiring novel therapeutic strategies. Arteriogenesis, sometimes also called therapeutic angiogenesis, refers to the body’s own capacity to create a natural bypass around a narrowing or occluded arterial vessel. This book gives an insight into current knowledge and advances in vascular sciences and future prospects of therapeutic options. The utility and relevance of circulating biomarkers together with the potential of machine learning methods are discussed as well as the challenges and prospects of novel therapies such as protein- gene-, and stem cell therapy along with multicistronic multigene vectors and the use of microRNAs, exosomes, and secretomes. Vascular smooth muscle phenotype switch as a target to promote arteriogenesis is critically addressed, highlighting the problem of promoting atherosclerosis in parallel. Two articles even deal with cold-inducible RNA-binding protein CIRP/CIRPB presenting it as promising target to promote vascularization concomitant the reduction in ischemic tissue damage. BMPR kinase inhibition is introduced to improve tissue repair in a hereditary form of vascular disorder, and the role of the AP-1 transcription factor JunB in blood vessel formation is described. Some more experimental oriented articles deal with the relevance of choosing the appropriate mouse strain for investigations as well as in vitro Matrigel plug assay as a potent method to investigate angiogenesis. Last but not least, two-photon intravital microscopy is presented as suitable tool to assess plaque angiogenesis in atherosclerotic lesions.
    Keywords: angiogenesis ; vessel maturity ; vessel permeability ; hemorrhage ; atherosclerosis ; two-photon intravital microscopy ; transforming growth factor-β ; endoglin ; neovascularization ; tissue repair ; myocardial infarction ; hind limb ischemia ; critical limb ischemia ; arteriogenesis ; cell therapy ; secretomes ; AP-1 transcription factors ; JunB ; tip cell specification ; vascular development ; neurovascular interactions ; peripheral arterial disease ; biomarkers ; inflammation ; coagulation ; extracellular vesicles ; microRNAs ; machine learning ; gene therapy ; stem cells ; clinical trials ; bioengineering ; gene expression ; non-viral vectors ; 2A-peptides ; growth factors ; tube formation ; VEGF ; FGF2 ; cytokines ; animal model ; Matrigel plug assay ; cold-inducible RNA-binding protein ; extracellular cold-inducible RNA-binding protein ; CIRP ; eCIRP ; neutrophil extracellular traps ; NETs ; macrophage polarization ; apoptosis ; ischemia ; vascular smooth muscle cell ; phenotypic switch ; collateral arteries ; C57BL/6J mice ; SV-129 mice ; leukocytes ; macrophages ; neutrophils ; C57BL6 ; 129S1/Sv ; CIRBP ; 14q32 microRNAs ; HUVECs ; n/a ; bic Book Industry Communication::M Medicine
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 99
    Publication Date: 2024-04-11
    Description: The atrial substrate undergoes electrical and structural remodeling during atrial fibrillation. Detailed multiscale models were used to study the effect of structural remodeling induced at the cellular and tissue levels. Simulated electrograms were used to train a machine-learning algorithm to characterize the substrate. Also, wave propagation direction was tracked from unannotated electrograms. In conclusion, in silico experiments provide insight into electrograms' information of the substrate.
    Keywords: Vorhofflimmern ; Fibrose ; maschinelles Lernen ; Bidomain ; Modellierung des Herzens ; atrial fibrillation ; fibrosis ; machine learning ; bidomain ; cardiac modeling ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 100
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: As faster and more efficient numerical algorithms become available, the understanding of the physics and the mathematical foundation behind these new methods will play an increasingly important role. This Special Issue provides a platform for researchers from both academia and industry to present their novel computational methods that have engineering and physics applications.
    Keywords: radial basis functions ; finite difference methods ; traveling waves ; non-uniform grids ; chaotic oscillator ; one-step method ; multi-step method ; computer arithmetic ; FPGA ; high strain rate impact ; modeling and simulation ; smoothed particle hydrodynamics ; finite element analysis ; hybrid nanofluid ; heat transfer ; non-isothermal ; shrinking surface ; MHD ; radiation ; multilayer perceptrons ; quaternion neural networks ; metaheuristic optimization ; genetic algorithms ; micropolar fluid ; constricted channel ; MHD pulsatile flow ; strouhal number ; flow pulsation parameter ; multiple integral finite volume method ; finite difference method ; Rosenau-KdV ; conservation ; solvability ; convergence ; transmission electron microscopy (TEM) ; convolutional neural networks (CNN) ; anomaly detection ; principal component analysis (PCA) ; machine learning ; deep learning ; neural networks ; Gallium-Arsenide (GaAs) ; radiation-based flowmeter ; two-phase flow ; feature extraction ; artificial intelligence ; time domain ; Boltzmann equation ; collision integral ; convolutional neural network ; annular regime ; scale layer-independent ; petroleum pipeline ; volume fraction ; dual energy technique ; prescribed heat flux ; similarity solutions ; dual solutions ; stability analysis ; RBF-FD ; node sampling ; lebesgue constant ; complex regions ; finite-difference methods ; data assimilation ; model order reduction ; finite elements analysis ; high dimensional data ; welding ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...