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  • deep learning  (377)
  • climate change  (331)
  • MDPI - Multidisciplinary Digital Publishing Institute  (695)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Global warming is imposing tremendous challenges upon human and otherwise biotic life on Earth. A warmer atmosphere holds more moisture. The consensus is that the moisture transport by the atmospheric circulation strengthens and makes already wet areas of moisture convergence wetter and already dry areas of moisture divergence drier. Therefore, the tropics and mid-to-high latitudes will get wetter and the subtropics will get drier. Without any change in the interannual variability of hydroclimate, the change in the mean hydroclimate would equally increase drought risk in some places and flood risk in others. Moreover, global warming will cause the interannual variability of the hydroclimate to intensify, which will induce more droughts and floods. Furthermore, the changing atmospheric circulation interaction with the land surface may cause storm track alterations and may play an important role in shaping moisture redistribution. The author's contributions have documented the precipitation trends in southeast of the US, the Nile River Basin Ethiopia, Iraq, the Huai River Basin of northern China, and the Qilian Mountains of western China. The precipitation predictability on both global and regional scales are also studied. The interaction among climate systems in southeast Asia is also explicitly documented.
    Keywords: El Niño ; winter weather types ; precipitable water ; surface water vapor pressure ; consistency ; interannual and long-term trend ; precipitation ; trend analysis ; Iraq ; climate projection ; CMIP5 ; groundwater levels ; rainfall ; temperature ; Mann–Kendall test ; Bayesian Ensemble Algorithm ; rainstorm process ; rainstorm intensity ; risk estimation and mapping ; CMIP6 ; risk prediction ; Southwest China ; rainstorm and flood ; spatial and temporal change ; atmospheric circulation ; rainfall change ; CHIRPS ; PERSIANN-CDR ; descriptive statistics ; non-parametric trends ; Google Earth Engine ; central Punjab ; climate change ; land cover/land use ; vegetation ; NDVI ; Huai River Basin ; trends and variability ; flood magnitude ; Qilian Mountains ; cyclones power dissipation index (PDI) ; monsoon trough ; El Niño southern oscillation (ENSO) ; Indian Ocean dipole (IOD) ; Walker circulation ; predictability ; global ; seasonal precipitation ; ENSO ; MJO ; climate trend ; land use land cover ; Nile River Basin ; water resources ; raindrop spectrum ; radar ; dynamic Z-I ; LSTM neural network ; precipitation estimation ; Loess Plateau ; spring maize ; relative soil moisture ; drought index ; 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::RB Earth sciences::RBP Meteorology & climatology
    Language: English
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Agricultural production management is facing a new era of intelligence and automation. With developments in sensor technologies, the temporal, spectral, and spatial resolution from ground/air/space platforms have been notably improved. Optical sensors play an essential role in agriculture production management. Specifically, monitoring plant health, growth conditions, and insect infestation has traditionally involved extensive fieldwork. We believe that sensors, artificial intelligence, and machine learning are not simply scientific experiments but opportunities to make our agricultural production management more efficient and cost-effective, further contributing to the healthy development of natural–human systems. This reprint compiles the latest research on optical sensors and machine learning in agricultural monitoring, including related topics: Machine learning approaches for crop health, growth, and yield monitoring; Combined multisource/multi-sensor data to improve the crop parameters mapping; Crop-related growth models, artificial intelligence models, algorithms, and precision management; Farmland environmental monitoring and management; Ground, air, and space platforms application in precision agriculture; Development and application of field robotics; High-throughput field information survey; Phenological monitoring.
    Keywords: soil moisture content ; spectral processing technology ; hyperspectral ; principal component analysis ; feature parameters extraction ; yield estimation ; rice ; unmanned aerial vehicle (UAV) ; tasseled cap transformation ; precision agriculture ; weed identification ; YOLOv4-Tiny ; attention mechanism ; multiscale detection ; angle normalization ; vegetation canopy reflectance ; geostationary satellite ; path length correction ; Minnaert model ; GOCI ; winter wheat ; LSTM ; LAI ; deep learning ; land use ; land cover ; classification ; random forest ; Sentinel data ; SRTM ; feature selection ; accuracy ; validation ; unmanned aerial vehicle ; soybean ; convolutional neural network ; multispectral imagery ; fusarium head blight ; texture indices ; machine learning ; cropland ; multi-seasonal ; fractal feature ; feature extraction ; accuracy evaluation ; black soil ; UAV ; chlorophyll ; fractional vegetation cover ; maturity monitoring ; anomaly detection ; smart agriculture ; detection of apple leaf diseases ; YOLOv5 ; transformer ; CBAM ; crop type classification ; multi-temporal ; remote sensing ; dairy cows ; body condition score ; 3D TOF sensor ; non-contact evaluation ; recognize area of interest ; sugarcane clones ; canopy cover ; light interception ; biomass ; cane yield ; peanut southern blight ; reflection spectrum ; spectral index ; continuous wavelet transform ; VGNet ; corn diseases ; leaf detection ; lightweight ; transfer learning ; agriculture ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The integration of information technologies with industry has marked the beginning of the fourth industrial revolution and promoted the development of industrial engineering. However, the depletion of resources and industrial waste caused by increasing amounts of industrial production pose a huge threat to nature. The application of sustainable supply chains in industrial engineering and management is one of the ways to balance the economy, society and environment. Therefore, it is a key concern for us to explore the construction of sustainable supply chains in industrial engineering and management. Moreover, to understand the impact of low-carbon, sustainable and recycled supply chains on industrial engineering, we need more in-depth investigations.This Special Issue aims to solicit original research and review articles discussing sustainable supply chain decision-making in industrial engineering and management to improve the sustainability of enterprise operations. Moreover, this Special Issue also shows mixed methods (e.g., modeling plus a case study) and rigorous quantitative/qualitative empirical studies of sustainable supply chains.
    Keywords: coordination degree model ; logistics industry ; digital economy ; industrial integration ; regional IEE system ; multimodel decision ; coupling coordination ; decision support methods ; online retailer ; consumer purchase behavior ; return strategy ; return insurance ; supply chain management ; real-time ; home delivery ; business modeling ; e-commerce ; time window ; lightweight ; carbon emissions ; low carbon benefits ; optimization design ; wheel hub ; subsidy policy ; remanufacturing industry ; donation strategy ; prisoner’s dilemma ; water-efficient products ; quality improvement ; DMAIC ; smart water closets ; carbon abatement ; cost sharing ; capital constraint ; environmental externality ; innovative products ; remanufacturing ; differential game ; bass model ; strategic emerging industries ; industrial structure ; employment effect ; artificial intelligence hardware ; data classification ; deep learning ; emission control ; industrial manufacturing ; bilateral matching decision making ; interval-valued hesitant fuzzy information ; bidirectional projection technology ; organizational quality-specific immunity ; automotive supply chain disruption ; supply chain resilience ; disruption risk ; bibliometric analysis ; co-citation analysis ; NGU ; self-attention ; CNN ; silver prediction ; data-driven ; composite systems ; synergy ; sustainability ; blockchain ; collection channel ; recycling strategies ; uncertain demand ; game theory ; federated learning ; intelligent manufacturing ; sustainable energy ; low-carbon strategy ; livestreaming marketing mode ; consumer low-carbon preference ; level of low-carbon promotion effort ; power structures ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies
    Language: English
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Biomedical sensors stand at the forefront of modern medical technologies, serving as indispensable components in diverse instruments and equipment. These sensors unravel the intricacies of biological processes and medical interventions. The recent surge in high-density sensor systems, characterized by arrangements in matrix arrays and other configurations, has ushered in a new era of functional evaluation. This spans electrophysiological activity, the metabolic responses of organs and tissues, and motor control analysis, all enriched with crucial spatial information. Functional mapping, a burgeoning approach in various biomedical techniques such as EEG, EMG, ECG, NIRS, and MEG, is proving to be transformative. Its integration enhances our comprehension of complex biological behaviors, where the precise spatial localization of sensing methodologies becomes paramount. The applications of functional mapping using biomedical sensors extend across multiple fields, including neuroscience, neuromuscular physiology, rehabilitation, and cardiology. Its utility ranges from diagnostic purposes to assessing the effectiveness of therapeutic interventions. The primary objective of this reprint was to collect papers that delineate the forefront of techniques, methods, and applications in the realm of biomedical sensors. Additionally, the focus extends to specific algorithms for data processing, ensuring a robust understanding of functional information intricately associated with spatial localization.
    Keywords: EMG ; EEG ; rehabilitation ; neuromotor ; evaluation ; assessment ; review ; machine learning ; biofeedback ; transfer learning ; random forest classifier ; COVID-19 ; intubation ; tracheoesophageal fistula ; tracheal lesions ; acute respiratory distress syndrome ; modeling ; intensive care unit ; muscle synergies ; whole body FES ; neurological patients ; photodynamic therapy ; fluorescence ; laser ; fluorophores ; enamel ; effective connectivity ; kurtosis ; resting-state connectivity ; stationarity ; sleep monitoring ; pressure bed sensor (PBS) ; unobtrusive measure ; multi-scale analysis ; sleep apnea–hypopnea syndrome (SAHS) ; shift-working ; optically detected magnetic resonance ; quantum magnetometer ; magnetoencephalography ; time domain ; functional near infrared spectroscopy ; diffuse optics ; brain ; hemodynamics ; resting-state brain oscillation ; mental workload ; signal processing ; reliability ; cognitive performance ; Simon task ; emotion detection ; valence ; arousal ; wearable sensors ; regression ; classification ; technology acceptance model ; rehabilitation exoskeletons ; therapists ; neuro-rehabilitation ; multiple linear regression ; Pearson’s correlation ; integrated sensor systems ; hand function ; hand osteoarthritis ; electromyography ; diagnosis ; discriminant analysis ; photoplethysmogram ; microcirculation ; deep learning ; convolutional neural network ; modelling ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: This reprint showcases a collection of a Special Issue entitled “Soilless Culture, Growing Media and Horticultural Plants”. Within its pages, readers will find an assortment of 22 original papers accompanied by 1 review paper and 1 editorial. Representing a collaborative effort involving by 84 authors from 15 different countries, this Special Issue explores cutting-edge advancements in soilless culture, investigating the interaction between soilless and environmental factors while also exploring their consequential impacts on plant growth and physiology. Additionally, these studies meticulously scrutinize the accumulation of secondary metabolites. The compositions of nutrient solutions and the physical attributes of substrates and mixtures are illuminated through rigorous analyses. Furthermore, a spotlight is placed on the dynamic interactions between microorganisms and plant-growing media. In the near future, climate change and environmental and ecological issues will steer the trajectory of soilless culture systems and the choice of growing media constituents.
    Keywords: biochar ; compost ; climate change ; hydroponics ; growing medium ; life cycle analysis ; organic bioresources ; peat alternatives ; renewable raw materials ; rockwool ; waste ; wood fibers ; soilless culture ; water soluble fertilizers ; vegetables ; Capsicum annuum L. ; Solanum melongena L. ; nutrients ; shape index ; UVR8 ; PPFD ; dose-dependent ; photosynthesis ; chlorophyll fluorescence ; phenolic compounds ; nutrient uptake ; nutrient variation ; simulation model ; sweet pepper ; restricted deficit irrigation ; soil moisture sensors ; nonchemical growth control ; water use efficiency ; peat ; growth ; cabbage ; Brassica ; emergence ; colored sweet peppers ; antioxidant activity ; phenolics ; ascorbic acid ; carotenoids ; solar and ultraviolet radiation ; peat replacement ; particle size ; calcium ; magnesium ; extractable nutrients ; dry weight ; N levels ; elevated CO2 ; open-top chamber ; nutrient transportation ; transpiration ; dilution effect ; Capsicum annuum ; flavonoids ; fluorescence monitoring ; bio-waste utilization ; NO3–N ; plant ; substrate ; container ; production ; growing media ; nursery production ; carbon ; peat moss ; bioenergy ; Solanum lycopersicum ; olive oil waste ; two-phase ; three-phase ; water sludge ; flower bud development ; flower number ; flower quality ; Gerbera jamesonii ; DLI ; urban agriculture ; simplified soilless culture ; conventional agriculture ; irrigation ; soilless substrates ; water ; coconut coir ; initial moisture ; mass wetness ; peatmoss ; pine bark ; wettability ; capillary rise ; container capacity ; capture rate ; available water ; dewpoint potentiometer ; pine tree substrate ; substrate processing ; surface-bound water ; unavailable water ; wood substrate ; organic and mineral substrates and mixtures ; laboratory characterization ; hydraulic properties ; physicochemical properties ; lettuce ; plant nutrient content ; Pelargonium zonale ; low-tech soilless cultivation system ; commercial quality ; plant growth-promoting rhizobacteria (PGPR) ; rhizosphere ; plant factory ; plant quality ; plant yield ; microbiome ; beneficial bacteria ; germination ; nitrate content ; phenolic content ; antioxidant capacity ; microbial community ; nutrient solution concentration ; sweetpotato ; storage root ; leaf abscission ; 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
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: In the orthopedic surgical field, knee surgeries, including articular cartilage repair procedures, meniscus surgery, ligament reconstruction surgery, osteotomy surgery, and partial/total knee arthroplasty surgery, have made great advances over the last few decades. This Special Issue highlights and focuses on the surgical concepts and techniques, decision-making processes, perioperative management protocols, and clinical outcomes of the recent various advanced knee surgery procedures.
    Keywords: high tibial osteotomy ; TomoFix ; plate position ; anatomical conformity ; dual-energy CT ; Hounsfield unit ; bone mineral density ; volumetric phantomless BMD ; opportunistic CT ; orthopedic surgeon ; planning ; survey ; total knee arthroplasty ; unicompartmental knee arthroplasty ; anterior cruciate ligament ; reconstruction ; bone tunnel widening ; adjustable-loop device ; interference screw ; hamstring tendon ; autograft ; tibial component alignment ; radiographic references ; extramedullary system ; tranexamic acid ; clamping time ; transfusion ; estimated blood loss ; continuous cold flow therapy ; cryotherapy ; pain ; opioids consumption ; patient satisfaction ; bone marrow lesion ; knee ; meniscus ; root tear ; root repair ; femorotibial joint ; chondromalacia ; aging ; body mass index ; magnetic resonance imaging ; automated detection ; detection algorithm ; deep learning ; venous thromboembolism ; medial collateral ligament ; strain ; video extensometer ; medial opening-wedge high tibial osteotomy ; central sensitization ; patient-reported outcomes ; osteotomy site pain ; minimal clinically important difference ; human umbilical cord blood derived mesenchymal stem cells ; cartilage regeneration ; cartilage repair ; osteoarthritis treatment ; stem cell therapy ; Outerbridge ; degeneration ; spacer block ; intramedullary rod ; femorotibial congruence ; unicompartmental arthroplasty ; osteoarthritis ; cartilage ; stem cells ; umbilical cord blood ; femur fracture ; polyethylene insert ; osteoporosis ; multivariate logistic analysis ; atelocollagen ; microfracture ; ACIC ; bone marrow aspirate concentrate ; human umbilical cord blood-derived mesenchymal stem cells ; knee osteoarthritis ; loosening ; arthroplasty ; machine learning ; transfer learning ; review ; prosthesis ; meniscus root ; medial meniscus posterior root ; medial meniscus posterior root tear ; meniscus root repair ; transtibial pull-out repair ; bone tunnel enlargement ; anterior cruciate ligament reconstruction ; landmark ; lateral tibial spine ; anatomy ; bic Book Industry Communication::M Medicine
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Oral cancer is a commonly occurring head and neck cancer, with 90% of cases diagnosed as oral squamous cell carcinoma (OSCC). Histologically, OSCC is derived from a multistep mechanism known as oral carcinogenesis, which progresses from normal epithelium to hyperplasia, followed by dysplasia and carcinoma in situ, and precedes the development of invasive squamous cell carcinoma. This multistep mechanism is characterized by mutations related to copy number alteration and epigenetic modifications. Precision medicine based on genomic profiling is also becoming more prevalent. It relies on the genetic information of individual patients or specific cancer cells and how their genes interact with each other and the environment. This method can potentially provide more effective treatment strategies as approaches can be customized for the specific genetic profiles of patients. Completing the TCGA HNSCC database has led to the development of new therapeutic approaches and targeted therapies. Lately, immune checkpoint inhibitors have been recognized as one of the standards of care in HNSCC. However, although treating invasive SCC is crucial, implementing prevention strategies to preclude malignant transformation has been useful in clinical management. Topics of interest for this Special Issue include, but are not limited to: Precision medicine, i.e., targeted therapies that inhibit oral carcinogenesis and tumorigenesis mechanisms; Combination of novel therapeutic approaches with standard-of-care regimens in OSCC; Biomarkers, i.e., predictive and prognostic markers for therapeutic approaches.
    Keywords: oral carcinogenesis ; oral tumorigenesis ; oral squamous cell carcinoma ; immune checkpoint inhibitor ; mutation ; biomarkers ; chemoradiation ; targeted therapies ; cisplatin ; preclinical models ; deep learning ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The research field of data analysis and mining has attracted the interest of both academia and industry in recent years. This reprint contains 17 papers, which cover different topics of the broad research field of data analysis and mining. Each paper presents new data mining algorithms and techniques, as well as applications of data analysis and mining in real-world domains.
    Keywords: chi-square test ; constrained likelihood ratio test ; Fisher test ; gamma distribution ; uniformly most powerful test ; key interested frame ; commodity video ; clustering ; deep neural network ; frequent subtree ; parallel algorithms ; data partitioning ; load balancing ; trust inference ; trust propagation ; online social network ; social network analysis ; probabilistic graphical model ; message passing ; belief propagation ; model interpretability ; sequential rule mining ; non redundant sequential rules ; TRuleGrowth ; top-k non redundant rules ; closed sequential patterns ; multivariate time series ; deep spatiotemporal information ; down-sampling convolution ; attention ; graph neural network ; mobility patterns ; social media data ; artificial intelligence ; tourist clusters ; tourist flows ; forecasting ; univariate ; time series ; Python ; PSF ; spam detection ; deep learning ; semantic similarity ; social network security ; web analytics ; web log mining ; clickstream analysis ; sequence mining ; sequitur ; graph techniques ; feature subset selection ; data mining ; educational data mining ; machine learning ; metaheuristics ; artificial neural networks ; random decision forests ; posttraumatic stress disorder ; DSM-V ; emergency cesarean section ; elective cesarean section ; postpartum period ; text similarity calculation ; passage-level event connection graph ; vector tuning ; graph embedding ; meteorological data mining and machine learning ; class imbalance ; classification ; randomized undersampling ; SMOTE oversampling ; undersampling using temporal distances ; recommender systems ; session-based recommendations ; e-commerce ; data and web mining ; item co-occurrence ; graph data model ; next-item and next-basket recommendations ; graph-based recommendations ; purchase intent ; LSTM-RNN ; signal processing ; smart device ; electromagnetic field ; non-ionizing radiation protection ; SAR ; ANOVA ; data science ; selection ; constraint satisfaction ; preprocessing ; mobile technology ; statistics ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
    Language: English
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Various classes of natural and synthetic molecules that can be classified as biomaterials find application in all fields of dentistry. Biomaterials should be biocompatible to minimise toxicity and bioactivity to ensure or simulate biological effects. They are used, for instance, to enhance antibacterial activity and improve the healing process. Calcium silicates, for illustration, are biomaterials used in endodontics that have proven their excellent biological, physico-chemical, and mechanical properties. However, some of these are considered too soluble, and this is almost completely due to their hardness when used as endodontic sealers, making endodontic retreatment very difficult. Despite manufacturers' best efforts, it is sometimes difficult to marry bioactivity, biocompatibility, and clinical benefits in a biomaterial; therefore, in this content, the work of researchers is invaluable.
    Keywords: calcium silicate cement ; retrograde materials ; premixed cement ; powder–liquid cement ; chemical composition ; EDX ; caries prevention ; anterior restorations ; ceramic ; dental veneers ; follow-up ; non-vital teeth ; porcelain laminate veneers ; vital teeth ; antimicrobial ; osseointegration ; surface modification ; tissue engineering ; root canal retreatment ; calcium silicate-based cement ; ProTaper Universal Retreatment ; D-Race ; dentin hypersensitivity ; desensitizing agents ; calcium phosphate ; hydroxyapatite ; nano-hydroxyapatite ; peri-implantitis ; periodontitis ; periapical radiograph ; deep learning ; neural networks ; image enhancement ; carious lesion activity ; irreversible pulpitis ; partial pulpotomy ; vital pulp therapy ; mineral trioxide aggregate ; furcation involvement ; image segmentation ; Gaussian high-pass filtering ; image preprocessing ; CNN ; calcium silicate material ; confocal laser scanning microscope ; deciduous tooth ; digital microscopy ; flowability ; micro-CT ; pulpectomy primary teeth ; root canal filling ; SEM ; zinc oxide eugenol ; bic Book Industry Communication::M Medicine
    Language: English
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Landscapes and cultural heritage have faced many challenges over time, including modifications and degradation that appear with time, overlaps with other challenges not previously observed, and the influence of cities and management. One of the most visible and globally discussed challenges is climate change. Therefore, there is an urgent need to launch initiatives to tackle climate change and other current challenges from the perspective of landscape and cultural heritage protection. This Special Issue presents selected papers of studies conducted in relation to the 28th Conference on the Series of Garden Art and Historical Dendrology entitled “Climate Change and Current Challenges for Landscapes and Cultural Heritage” that was held on 28 and 29 October 2021. This collection serves as a platform for the exchange of experiences among researchers from different scientific domains.
    Keywords: nature reserves ; landscape fragmentation ; north–south transitional zone ; spatial differentiation ; Qinling–Daba Mountains ; habitat quality ; water dams ; Krakow fortress ; climate change ; environmental management ; cultural heritage conservation ; urban densification ; prefabricated housing estates ; spatial devastation ; protection of urban layout ; Cracow ; climate change mitigation ; cultural heritage ; urban renewal ; urban parks ; therapeutic landscapes ; climate resilience ; vernacular heritage ; climate narratives ; climate adaptation ; climate stories ; courtyard ; urban green infrastructure ; urban pattern ; supervised classification ; ecosystem services (ES) ; urban cemeteries ; biocultural diversity (BCD) ; urban green infrastructure (UGI) ; questionnaire survey ; Leipzig ; Łódź ; sensory gardens ; urban green spaces ; aromatic herbs ; plant smell memory ; stress ; human wellbeing in urban areas ; restorative environments ; history of gardens ; castle garden ; goosefoot avenue ; star-shaped garden layout ; Austro-Hungarian Empire ; Transylvania as part of Romania ; green infrastructure ; resilience management ; biodiversity ; scenario analysis ; cellular automata model ; historic psychiatric hospitals ; therapeutic landscape ; green therapy ; horticulture therapy ; historical commons ; human cultural heritage ; local development ; landscape values ; rainwater management ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSA Life sciences: general issues::PSAF Ecological science, the Biosphere
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  • 11
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.
    Keywords: ANN ; roadside IoT sensors ; simulations of the gridded rainstorms ; 2D inundation simulation and real-time error correction ; weather types and features ; meteorological feature extraction ; artificial neural network ; self-organizing map (SOM) ; urban agriculture ; resource utilization efficiency ; urban northern Taiwan ; machine learning ; random forest ; regression analysis ; support vector machine ; threshold rainfall ; threshold runoff ; XGBoost ; stochastic rainfall generator ; Huff rainfall curve ; copula ; GeoAI ; artificial intelligence ; hydrological ; hydraulic ; fluvial ; water quality ; geomorphic ; modeling ; anomaly detection ; deep reinforcement learning ; telemetry water level ; time series ; ensemble ; multi-model ensemble ; precipitation ; forecasting ; persian gulf ; deep learning ; dam inflow ; RNN ; LSTM ; GRU ; hyperparameter ; rainfall time series ; artificial neural networks ; Multiple Linear Regression ; Chania ; CNN ; ELM ; temporary rivers ; hydrological extremes ; multivariate stochastic model ; autoregressive model ; Markov model ; daily temperature ; temperature generator ; Bayesian neural network ; forecasting uncertainty ; multi-step ahead forecasting ; probabilistic streamflow forecasting ; variational inference ; smart microclimate-control system (SMCS) ; system dynamics ; water–energy–food nexus ; agricultural resilience ; hydroinformatics ; hydrological modeling ; early warning ; uncertainty ; sustainability
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  • 12
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science.
    Keywords: steganography ; network security ; steganography detection ; steganalysis ; machine learning ; big data ; IoT ; pattern mining ; wireless communications ; covert channel ; dirty constellation ; wireless postmodulation steganography ; phase drift ; drift correction modulation ; undetectability ; security ; quadrature amplitude modulation ; spam ; phishing ; classification ; augmented dataset ; multi-language emails ; cybersecurity ; data protection ; SoC ; threat agents ; motivation ; opportunity ; capability ; user profiling ; implicit ; modeling ; real-time user monitoring ; complexity threat agent ; threat assessment ; network traffic analysis ; convolutional neural networks ; network traffic images ; visualization of traffic ; classifiers ; e-mail ; ham ; data science ; datasets ; cyber threats modeling ; multi-agent systems ; cyber deception ; pseudorandom sequences generators ; prime numbers ; additive Fibonacci generator ; statistical characteristics ; android device ; BrainShield ; hybrid model ; malware detection ; Omnidroid ; image processing ; BOSS database ; ensemble classifier ; deep learning ; stegomalware ; traffic analysis ; network probe ; hash function ; SHA-3 ; FPGA ; cognitive security ; cyberattacks ; game software ; threat matrix computing ; evaluation function ; data modeling ; authentication ; bit template ; information-processing electronic device ; Poisson pulse sequences generators ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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  • 13
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Modern materials and structures are significantly different from conventional ones. Their sizes can be orders of magnitude smaller, and their compositions are so sophisticated that traditional characteristic methods are inapplicable. Non-conventional methods are essential to tackle these issues, which must often be approached in an interdisciplinary fashion. This Special Issue is a collection of articles that shed light on these problems.
    Keywords: analytical solution ; Fourier cosine series ; vibrations ; FGM rectangular plates ; Mindlin plate theory ; phased array transducer ; transducer optimization ; beam focusing ; pulse–echo mode ; harmonic generation ; stress-free boundary ; total correction ; acoustic emission ; electrical resistance ; damage monitoring ; criticality ; natural time analysis ; nonlinear parameter ; noncontact reception ; air-coupled receiver ; aluminum samples ; corrections ; field theory ; deformation and fracture ; 7075 aluminum alloy ; electronic speckle pattern interferometry ; concrete beam ; bending ; cementitious matrix ; FRCM ; analytical model ; numerical model ; linear low-density polyethylene ; digital image correlation ; optical non-destructive testing ; speckle ; fourier scaling theorem ; gaussian filtering ; optical methods ; AlSi10Mg ; SLM ; NDE ; deep learning ; CNN ; k-fold cross validation ; non-destructive testing ; optical interferometry ; residual stress ; thermal expansion ; elasticity ; high entropy alloys ; complex concentrated alloys ; refractory metal intermetallic composites ; high entropy phases ; complex concentrated phases ; Nb silicide-based alloys ; alloy design ; biomechanics ; Achilles tendon ; beam-to-beam contact ; arbitrary cross-section ; ANCF ; lithium-ion batteries ; redox-active organic anode ; organic anode materials ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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  • 14
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form the basis for the optimal design and control of complex systems. The present reprint contains all the articles accepted and published in the Special Issue of Mathematics entitled "Control, Optimization, and Mathematical Modeling of Complex Systems". This Special Issue is focused on recent theoretical and computational studies of complex systems modeling, control, and optimization. The topics addressed in this Special Issue cover a wide range of areas, including numerical simulation in physical, social, and life sciences; the modeling and analysis of complex systems based on mathematical methods and AI/ML approaches; control problems in robotics; design optimization of complex systems, modeling in economics and social sciences; stochastic models in physics and engineering; mathematical models in material science; and high-performance computing for mathematical modeling. It is our hope that the scientific results presented in this reprint will serve as valuable sources of documentation and inspiration to those seeking to delve into complex systems modeling, control, and optimization and examine their wide-ranging applications.
    Keywords: optimal control problem ; evolutionary computation ; robotics applications ; optimal control ; Lyapunov stability ; equilibrium point ; symbolic regression ; Pontryagin’s maximum principle ; continuous-time Markov chains ; ergodicity bounds ; discrete state space ; rate of convergence ; logarithmic norm ; interval analysis ; function approximation ; global optimization ; convexity evaluation ; overestimators ; underestimators ; machine learning control ; general synthesis problem ; evolutionary algorithm ; adaptive interpolation algorithm ; interval ordinary differential equations (ODEs) ; sparse grids ; hierarchical basis ; multidimensional interpolation ; high dimensions ; molecular dynamics modeling ; randomized maximum entropy estimation ; probability density functions ; Lagrange multipliers ; Lyapunov-type problems ; implicit function ; rotation of vector field ; asymptotic efficiency ; thermokarst lakes ; forecasting ; dynamical tracking target ; ship towing system ; relative curvature ; adaptive control ; discrete velocity method ; lattice Boltzmann method ; computational fluid dynamics ; mathematical modeling ; estimation ; minimax techniques ; pareto optimization ; regression analysis ; statistical uncertainty ; proton exchange membrane ; proton electrolyte membrane ; PEM ; fuel cell ; PEMFC ; power electronic converter ; DC–DC boost converter ; model predictive control ; MPC ; self-scalable robots ; modular robots ; origami structures ; complex system ; synergistic effect ; performance indicator ; structure change ; soft robotics ; continuum mechanisms ; modeling of complex systems ; kinematic model of soft robots ; mathematical modeling of complex systems ; non-linear models ; soft robotic neck ; tendon-driven actuators ; mathematical modelling ; modelling in economics ; impact of the COVID-19 ; logistics businesses ; fractional-order virus models ; stuxnet virus ; numerical computing ; supervisory control and data acquisition systems ; computer networks ; lyapunov analysis ; image segmentation ; remote sensing ; terrain identification ; data synthesis ; transfer learning ; controllability ; observability ; stochastic linear systems in finite and infinite dimensional spaces ; stochastic singular linear systems in finite and infinite dimensional spaces ; semigroup ; evolution operator ; GE-semigroup ; GE-evolution operator ; stochastic GE-evolution operator ; feature selection ; finite normal mixtures ; moving separation of mixtures ; deep LSTM ; neural network architectures ; deep learning ; turbulent plasma ; air–sea fluxes ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Rapid developments have taken place over the recent years in the interventional cardiac electrophysiology. New methods and tools in the diagnosis and treatment of cardiac arrhythmia have emerged. There are many questions which still present a challenge, such as the ablation of refractory ventricular tachycardia, how to improve the long-term success rate of persistent atrial fibrillation, the long-term effectiveness and safety of His–Purkinje conduction system pacing. Accordingly, we dedicate this Special Issue Current Updates on Interventional Cardiac Electrophysiology to gathering the most recent progress in this field. Its aim is to present an overview of the current knowledge, latest evidence, and unresolved issues in this field. More specifically, the topics of interest include but are not limited to: atrial fibrillation; cryoablation; radiofrequency ablation; cardiac resynchronization therapy; His–Purkinje conduction system pacing; stereotactic radiotherapy for refractory ventricular tachycardia; pulsed electric field ablation; leadless pacemakers; and implantable cardioverter-defibrillators.
    Keywords: atrial fibrillation ; catheter ablation ; left atrial appendage occlusion ; stereotactic body radiotherapy ; refractory ventricular tachycardia ; treatment ; ablation ; elderly patients ; younger patients ; outcomes ; deep learning ; convolution neural network ; paroxysmal supraventricular tachycardia ; electrocardiography ; detection ; syncope ; vasovagal syncope ; ganglionated plexus ; high-frequency stimulation ; atrial fibrillation (AF) ; vein of Marshall (VOM) ; ethanol infusion ; coronary sinus (CS) ; coronary sinus ostium (CSo) ; cardiac implantable electronic device infection ; pocket infection ; antimicrobial therapy ; risk factors ; preventive strategies ; ventricular arrhythmias ; electrocardiogram ; algorithm ; left ventricular outflow tract ; COVID-19 pandemic ; interventional therapy ; percutaneous left atrial appendage occlusion ; pharmacotherapy ; amiodarone ; arrhythmogenic right ventricular cardiomyopathy ; abnormal electrograms ; ventricular tachycardia ; iatrogenic atrial septal defect ; intracardiac echocardiography ; left atrial appendage closure ; right-to-left shunt ; vein of Marshall ; collateral circulation ; slow injection ; paroxysmal atrial fibrillation ; high-power ; short-duration ; radiofrequency ablation ; ablation index ; pulmonary vein reconnection ; non-pulmonary vein triggers ; peri-device leak ; cardiac computed tomography angiography ; leadless single-chamber pacemaker ; complication ; atrioventricular synchrony ; leadless dual-chamber pacemaker ; strategy selection ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: Water resource systems planning and management issues are often very complex. The pressures on water resources are increasing with the expanding scale of global development involving ecological and hydrological consequences in river basins and groundwater aquifers, and water-quality deterioration. All this leads to the increasing need for investigating the effects of different human influences and impacts on the hydrological regime and on water quality like as land-use changes, climatic variability and climate changes, and intensified water and land-use practices. The Special Issue “Advances in Flow Modeling for Water Resources and Hydrological Engineering” presents a collection of scientific contributions that provides a sample of the state-of-the-art and forefront research in this field. In particular, basin-wide water resources planning, watershed management, flood forecasting, droughts, climate change impacts on flood risk and water resources, reservoir operation and management, river morphology and sediment transport, river water quality, and irrigation were the main research and practice targets that the papers published in this Special Issue aimed to address.
    Keywords: stream discharge ; near-natural catchment ; trend analysis ; NW Spain ; field-scale hydrological models ; DRAINMOD ; tile drainage ; nitrate leaching ; climate change ; venturi flume ; CFD ; OpenFOAM ; RANS ; turbulence model ; numerical simulation ; Parshall flume ; water balance ; Thornthwaite–Mather method ; Python ; serverless computing approach ; watershed hydrology ; Yukon River plume ; river discharge ; sediment load ; flocculation ; plunging ; underflow ; flood ; geological categories ; probability ; Medvednica Mt. ; Croatia ; numerical model ; shallow water equations ; dam break ; dry and wet beds modeling ; river flow ; open channels ; eddy viscosity ; parabolic profile ; streamwise velocity distribution ; turbulent kinetic energy (TKE) ; mixing length ; log law ; log wake ; hydrological modeling ; streamflow ; SWAT ; Venturi flume ; nonlinear model ; burned areas ; hydrological modelling ; infiltration capacity ; SCS-CN ; post-fire ; shock wave ; spillway ; spillway pier ; flat chute ; physical modeling ; hydrology ; tiling ; subsurface flow ; Iowa ; variational ensemble forecasting ; hydrologic processing strategies or hypotheses ; SR2MR streamflow forecasting ; real-time hydrologic forecasting system ; satellite precipitation products ; multi models ; best streamflow prediction ; inverse variance weighting ; inverse probability weighting ; representative concentration pathways 4.5 and 8.5 ; modified Mann–Kendall trend test ; Ziway Lake Basin ; Rift Valley ; Ethiopia ; maximum precipitation ; maximum flow ; gravel bed rivers ; skin friction ; flow resistance ; bed forms ; energy slope ; boundary layer characteristics ; abrupt negative step ; hydraulic jump ; energy loss ; momentum closure ; Boussinesq equations ; specified intervals ; MODIS ; evapotranspiration ; multi-variable calibration ; regional flood frequency ; ungauged catchments ; direct rainfall modelling ; headwater catchments ; Australia ; drought ; water ; water resources modelling ; flood forecast ; climate-change impacts ; river quality ; river morphology ; watershed management ; reservoir management ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This reprint focusses on Smartness, a multidisciplinary topic, which is examined from four perspectives: Sensors, IoT, and Data Generation; Data and Information Processing; Actuation; and Digital Systems and Infrastructure. We see smartness in the way sensing is embedded in a system, the way data and information are processed, how a system interacts internally and with its environment, and whether a system is ubiquitous or limited by space (cloud-based or edge-enabled). This reprint contains a total of 14 chapters, which are grouped according to their areas of application: mobility and transportation, healthcare, industrial environments, and other urban infrastructures. This book covers a range of topics, including mobility; healthcare; image analysis; permeable pavements; solid-waste management; sensor node and gateway architectures; cloud, fog, and edge computing; air-quality monitoring; thermal anomalies and smart helmets in industrial environments; smart airports; smart districts; smart travel choices; sensor cities; artificially intelligent cities; platform urbanism; and more.
    Keywords: artificial intelligence (AI) ; artificially intelligent city ; artificially intelligence commons ; smart city ; smart urban technology ; urban informatics ; sustainable urban development ; climate change ; pandemics ; natural disasters ; sensor city ; City 4.0 ; smart urbanism ; smart governance ; disruptive urban transition ; Internet-of-Things (IoT) ; technology giants ; sensors ; transit ; bus ; transfer ; smart card ; spatial analysis ; mode choice ; internet of everything (IoE) ; 6th generation (6G) networks ; artificial intelligence ; Distributed AI as a Service (DAIaaS) ; fog computing ; edge computing ; cloud computing ; smart airport ; smart districts ; PPE ; OHS ; risk detection ; naive Bayes ; support vector machine ; convolutional neural network ; deep learning ; microcontroller ; edge-fog-cloud computing ; Internet of Things ; robotics ; autonomous driving ; image registration ; smart sensor ; real time big data ; land-use ; air quality ; particulate matter (PM10 PM2.5) ; Intelligent Transportation Systems ; functional requirements ; machine learning ; model actionability ; model evaluation ; cloud server ; customized sensor node ; customized gateway ; FLoRa simulation ; LoRa range radio ; solid waste management ; smart cities ; big data ; event detection ; road traffic ; distributed machine learning ; automatic labeling ; social media ; data analytics ; social media analytics ; Arabic tweets ; 3D microstructure reconstruction ; permeable pavement ; generative adversarial networks ; tiny AI ; tiny ML ; distributed AI as a service (DAIaaS) ; skin disease diagnosis ; healthcare ; smart societies ; smart healthcare ; reference architecture ; TensorFlow ; visually impaired ; smart mobility ; LiDAR ; ultrasonic ; obstacle detection ; obstacle recognition ; assistive tools ; green computing ; sustainability ; Arduino Uno ; smart app ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint contains several articles where the molecular mechanisms and structural changes in target proteins on interaction with various viruses and bacteria were studied. In addition, drug-protein interactions, drug–drug interaction mechanisms, anti-Glycating, antioxidant, binding affinity, network pharmacology-driven investigations, and targeted anticancer treatments were also investigated.
    Keywords: RSV ; ectodomain G protein ; heparan sulfate ; protein–ligand interaction ; fluorescence quenching ; molecular docking ; molecular dynamic simulation ; quercetin ; CCL4 ; neurotoxicity ; VirtualToxLab ; oxidative stress markers ; Huperzine A ; molecular dynamics simulation ; fluorescence spectroscopy ; human serum albumin ; neurodegenerative disorders ; drug–protein interactions ; erlotinib ; bovine serum albumin ; binding interaction ; competition ; hepatitis E virus ; methyltransferase ; protein stability ; enzyme assay ; garlic ; antioxidant ; anti-glycation ; glycation ; AGEs ; HSA ; quetiapine ; hydrophobic interaction ; thermodynamic parameters ; seproxetine ; antidepressant ; charge transfer ; π-acceptors ; DFT ; haloperidol ; antipsychotics ; keratoconus ; MMP-2 ; MMP-9 ; molecular dynamics ; MM-GBSA calculations ; pharmacophore mapping ; α-amylase ; advanced glycation end-products ; caffeic acid ; coumaric acid ; coronary artery disease ; phytotherapy ; network pharmacology ; angiogenesis ; zebrafish ; dynamics molecular docking ; NEK7 ; virtual screening ; DFTs ; deep learning ; drug design ; drug repurposing ; structural-based ; cancer ; A. aspera ; β-amyrin ; C. gigantea ; C. procera ; GC-MS ; Minimum inhibitory concentration (MIC) ; Molecular docking ; MD simulations ; Tuberculosis (TB) ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts. This reprint emerging from the Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques” can be viewed as a result of the crucial need for document management systems. Such technologies are being applied in various fields or different domains and parts of the world to address relevant challenges that could not be addressed without the advances made in these technologies. The reprint includes impactful chapters that present scientific concepts, frameworks, architectures and innovative ideas on sensing technologies and machine-learning techniques to overcome a series of key challenges related to document imaging/scanning, text detection, text recognition, and documents clustering.
    Keywords: feature learning ; incomplete multimedia data ; fuzzy c-means ; variational autoencoder ; multispectral imaging ; document scanning ; portable sensor ; depth image filtering ; point clouds filtering ; Kinect v2 ; depth resolution ; close range ; hand pose ; image binarization ; optical character recognition ; document images ; local thresholding ; image pre-processing ; natural images ; scene text recognition ; visual sensor ; text position correction ; encoder-decoder network ; chart recognition ; deep learning ; visualization ; classification ; detection ; perspective correction ; house architecture type classification ; house type classification ; convolutional neural networks ; document classification ; feature selection ; data augmentation ; imbalanced dataset ; scene text detection ; multiple scales ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Keywords: speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Buildings are important consumers of energy; in fact, they represent 30–45% of the global energy use and one-third of total greenhouse gas emissions, as well as contributing to the urban heat-island effect. In consequence, the correct design and execution of buildings, use of new materials that reduce energy demand, and efficient use of renewable energy are all necessary to reduce the impacts that occur during their life-cycle. This book shows some examples, focused on improving the energy-efficiency of buildings, in accordance with circular economy policies and life-cycle phases, including design, construction and use. The editor wishes to thank all the authors for contributing to this book, as well as to the assistance of MDPI’s editorial office.
    Keywords: climate-oriented ; buildings ; building construction ; climate zones ; climate change ; bibliometric ; climate zone ; building ; energy demand ; building resilience ; air quality ; air pollution ; SUNSPACE ; PM removal ; azure chemistry ; circular economy ; sustainability ; SDG 11 ; SDG 12 ; buying intention ; energy-efficient home appliances ; green self-identity ; theory of planned behavior ; waste glass ; light reflectance ; building material coatings ; soda–lime–silica glass ; lead–silica glass ; cool surface ; cool material ; cool roof ; urban heat island ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: After almost two decades of continuous development in bio, circular, and green economy, the time is ripe for the assessment of the major achievements and challenges that private and public enterprises face today to further enhance these global sustainability concepts. Due to the central role of political incentives for the development and implementation of environmentally friendly and sustainable practices, the present book project focuses on the nexus between public policies, institutions, quality of public sector management, and patterns of interaction between government and private businesses in backing bio, green, and circular economy practices and eco-innovation. In addition, the project also accommodates surveys that elaborate on the differences between the implementation of new organizational forms and scientific innovations in technologically advanced and developing settings.
    Keywords: energy demand ; renewable energy ; biomass ; energy policies ; organizational factors ; healthcare waste management practices ; public hospitals ; Libya ; consumers ; cluster analysis ; sustainable consumption ; mass media ; social media ; green hydrogen ; green hydrogen value chain ; developing countries ; renewable energy sources ; hydrogen strategy ; scaling ; upscaling ; scaling innovation ; innovation diffusion ; innovation ; systematic literature review ; garbage sorting ; urban garbage disposal ; rural garbage disposal ; willingness ; family life ; neighbourhood ; COVID-19 ; Pakistan economy ; economic scale ; Keynesian theory ; mitigation ; economic revival measures ; innovations ; renewable power ; rebound effect ; low-carbon economy ; carbon pricing policy ; border carbon tax ; Sino–US trade friction ; export grab effect ; firm innovation ; GDP prediction ; feature selection ; deep learning ; temporal convolutional network ; organizational sustainability ; social and economic sustainability ; knowledge sharing ; organizational agility ; organizational behavior ; sustainable organizations ; economic sustainability ; consumer experience ; sustainable commerce ; online consumer behaviour ; e-commerce platform ; online purchase intention ; online customer engagement ; energy security ; energy policy ; energy resources ; sustainability ; bibliometrics ; circular business model ; open business model ; sharing economy ; circular economy ; peer-to-peer ; electricity trading ; green product ; green consumer behavior ; environmental responsibility ; environmental concern ; green purchasing decisions ; green business ; consumption dimension ; production dimension ; financial dimension ; technological dimension ; fundraising campaigns ; social networking sites ; NPO ; humanitarian response ; Kuwait ; Bahrain ; Guatemala ; forest ; property rights ; community concession ; entrepreneurship ; forest sustainability ; economic development ; free-market environmentalism ; Latin America ; consumption coupons ; purchase probability ; inventory optimization ; minimum-cost maximum-flow ; bioeconomy ; green growth ; eco-innovation ; environmental Kuznets curve ; EKC ; environmental economics and policy ; ecological economics ; resource management ; sustainable development ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-23
    Description: Climate change and urban development threaten health, undermine coping and deepen existing social and environmental inequities. A changing global environment requires transformative social responses: new partnerships, deep engagement with local communities, and innovation to strengthen individual and collective assets. The chapters of this edited volume have mainly been contributed by established and emerging scholars representing social work, sociology, development studies, law, government, social anthropology, urbanism, public policy, and other social sciences This book is to be used for academics, policy makers, social work students, lecturers and other stakeholders to promote advocacy for vulnerable client groups affected by climate change. It gives some measure of hope and makes the invisible visible, allowing for change.
    Keywords: climate change ; global environment ; vulnerable populations ; social care ; human health ; economic justice ; sociology ; urban studies ; thema EDItEUR::A The Arts ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint aims to address the challenges modern-day buildings face in the context of high energy and resource consumption and climate change. One of the ways to address the issues is holistic design and operation of high-performance buildings in the area of energy efficiency, occupant health, and comfort. All this should be achieved through synergic interconnectedness between parameters such as the indoor–outdoor environment, sustainability, and resilience. Through different chapters, this reprint highlights the key areas, namely, the optimization of building design parameters, the impact of the use of modern-day phase-change materials, the adaptation of occupants and buildings to climate change, the mitigation of urban overheating by cool roofs, and reducing energy demand and CO2 emissions.
    Keywords: climate change ; bioclimatic design ; passive design ; energy efficiency ; overheating ; building resilience ; robustness ; shape factor ; building ; thermal envelope ; energy demand ; CO2 emissions ; white roofs ; cool roofs ; reflective material ; cost-benefit ; energy savings ; urban heat island ; thermal comfort ; indoor environmental quality ; educational buildings ; energy consumptions ; local discomfort ; building energy retrofitting ; phase change materials ; aerogel render ; heat stress risk ; emission ; lifecycle cost ; peak cooling load ; residential building ; building envelope ; multi-objective genetic algorithm ; TRNSYS ; climate zone ; multi-criteria decision making ; CRITIC ; TOPSIS ; capture devices ; variables ; field surveys ; thermal perceptions ; adaptive actions ; hostel dormitories ; composite climate of India ; reflective materials ; mitigation ; outdoor comfort ; visual comfort ; heat stress ; optimization ; skyscrapers ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The use of telemedicine and mobile devices is growing, and sensors might aid in creating creative solutions. Developing these solutions is crucial for monitoring senior citizens, lifestyles, and medical procedures. This Special Issue’s goal was to bring together academics and professionals in healthcare and medicine interested in using information and communication technologies (ICT) to serve people with special needs. The development of assistive technology for various users to follow sports and other activities is strongly tied to this study area. Data protection is crucial, and the development of these solutions for medical uses should be verified. The security and privacy of the information may be tied to other recognized research projects for their acceptability. ICT research has considerably improved quality of life and has fully assimilated all citizens into society through medical rehabilitation and assistive technology. The technologies and research fields that influence medical informatics include databases, networking, graphical user interfaces, data mining, machine learning, intelligent decision support systems, and specialized programming languages. Because mobile devices are commonly used for several everyday chores and are equipped with sensors that monitor various physical and physiological indicators, it is crucial to encourage the development of m-Health and e-Health solutions for healthcare practitioners. In this area, several solutions are now being developed. In addition, they can collaborate with emerging technologies for social assistance while enhancing life quality.
    Keywords: data privacy ; taxonomy ; IoT ; COVID-19 ; mobile application ; accelerometer sensor ; stand-up time ; total time ; aging ; linear-map convolutional neural network ; direct acyclic graph ; action recognition ; spatial feature ; temporal feature ; frailty ; home monitoring ; user-centered design ; usability ; user experience ; acceptance ; activity recognition ; Internet of Things ; smart house ; deep learning ; channel state information ; glaucoma screening ; retinal images ; segmentation ; classification ; precision nutrition ; food plans ; machine learning ; food logging ; Eight Hop Test ; systematic review ; measurement ; sensors ; diseases ; wrist-wearable device ; PPG processing ; physiological parameters ; web-based applications ; data analysis ; elderly monitoring ; successful aging ; gerontechnology ; AAL ; healthcare ; prevalidation ; deployment ; chronic heart failure ; large-scale pilot ; H2020 ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Water resource management includes the consideration of all disciplines of hydrology and water sources. Water supplies are allocated and diverted to cover the water needs of a range of agricultural, municipal, industrial, hydro-electrical, and ecological water uses. These water uses are, usually, very competitive, as the available water resources are limited and it is not possible to cover the total water needs in a basin, requiring the setting of water use priorities to best serve societal and ecological needs. To manage the water resources and waterworks may, sometimes, lead to confrontational deliberations and negotiations. As a result, water resource management is one of the world’s greatest challenges due to competition for limited resources, regional disparities in water supply and affluence, mounting global water demand, aquifer depletion, and pollution- and climate-change-induced water stress. Proper policy and governance for sustainable water resource management is essential and require new fresh ideas, innovation, and international cooperation. This book includes seven papers by invited renowned researchers and engineers to cover issues of water resource management, governance, and policy. These issues include the following topics: Integrated water resource management; Water resource systems and water availability; National and international water policy, institutional arrangements, and water law; Water conflict resolution, public participation, and decision making; Water resource management, policy and governance in socially and environmentally sensitive areas and regions.
    Keywords: water allocation ; planning ; river/reservoir systems ; water availability modeling ; global change ; integrated assessment modelling ; system dynamics simulation ; water resources management ; water supply ; climate change ; earth system ; feedback ; conflicts ; environmental flows ; small-scale hydropower projects ; institutional change ; nestedness ; governance mode ; legal pluralism ; mulberry-dyke-fish pond ecosystem ; spatial evolution analysis ; remote sensing ; Guangdong–Hong Kong–Macao Greater Bay Area ; prolonged drought ; scarcity ; indicators ; transboundary river basins ; Iberian Peninsula ; climate crisis ; water adaptation ; Greece ; Koronia lake ; sustainability ; Mygdonia Basin ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-04
    Description: Due to its low adaptability to climate change, the MENA region has become a "hot spot". Water scarcity, extreme heat, drought, and crop failure will worsen as the region becomes more urbanized and industrialized. Both water and food scarcity are made worse by civil wars, terrorism, and political and social unrest. It is unclear how climate change will affect the MENA water–food–energy nexus. All of these concerns need to be empirically evaluated and quantified for a full climate change assessment in the region. Policymakers in the MENA region need to be aware of this interconnection between population growth, rapid urbanization, food safety, climate change, and the global goal of lowering greenhouse gas emissions (as planned in COP27). Researchers from a wide range of disciplines have come together in this SI to investigate the connections between water, food, energy, and climate in the region. By assessing the impacts of climate change on hydrological processes, natural disasters, water supply, energy production and demand, and environmental impacts in the region, this SI will aid in implementation of sustainable solutions to these challenges across multiple spatial scales.
    Keywords: drought ; flood ; standard precipitation index ; rainfall anomaly index ; soil conservation service-curve number ; high-heat devices ; electronics cooling ; thermal management ; CFD ; heat transfer enhancement ; microchannels ; inserts ; greenhouse gases ; geospatial analysis ; remote sensing ; Arabian Peninsula ; climate change ; rainwater harvesting ; arid areas ; metrologic analysis ; hydrologic modeling ; AHP ; decolorization ; direct red-81 ; graphene ; methylene blue ; nitrate reductases ; operating parameters ; zero-valent iron ; water pricing ; urban infrastructure ; multi-block pricing ; externality costing ; single-block pricing ; urban warming ; urban bias ; land surface temperature ; MODIS ; GAIA dataset ; Mann–Kendall test ; Theil–Sen estimator ; CO2 absorption ; MEA ; membrane contactor ; porosity ; pore size ; natural convection ; melting PCM ; enthalpy-porosity method ; mushy zone parameter ; adsorption ; membrane ; adsorptive membrane ; activated carbon ; dye removal ; hybrid membrane ; solar concentrator ; thermal ; helical rotating shaft ; active methods ; GIS ; Nile Delta region ; modified DRASTIC-LU ; groundwater vulnerability ; geospatial technique ; energy hub ; cogeneration systems ; Archimedes optimization algorithm ; sustainable ; emissions ; water management ; irrigation water requirements ; CROPWAT model ; numerical simulation ; turbulent flow ; plate heat exchanger ; sand and dust storms ; hydrology ; surface and ground water changes ; spatial-temporal analysis ; Middle East ; assessment ; protection structures ; inundation ; hazards ; shoreline changes ; Nile Delta ; modeling ; biogas ; methane ; landfill of Mohammedia ; upgrading ; gold nanoparticles ; instant nanosynthesis ; urchin-shaped nanogold ; green capping agent ; biocompatible nanogold ; groundwater salinization ; ion ratios ; stable isotopes ; seawater mixing index (SMI) ; northwest coast ; weighted overlay model ; analytical hierarchical process (ahp) ; thematic layers ; biochar ; croplands and rangelands ; carbon sequestration ; organic manures ; aquaculture ; sustainability ; Egypt ; thema EDItEUR::P Mathematics and Science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, , affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010–2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards, amounting to USD 3 trillion, which is USD 1 trillion more than for the period of 2000–2009. In 2019, the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report, 2019). In this context, remote sensing shows high potential to provide valuable information, at various spatial and temporal scales, concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis, in terms of sensors, platforms, and techniques, are strongly contributing to the development of natural hazards research. With this Special Issue titled “Remote Sensing for Natural Hazards Assessment and Control”, we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies, expertise, and capabilities to detect, assess, monitor, and model natural hazards. The present Special Issue of Remote Sensing encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques, as well as focusing on a well-assorted sample of NH types.
    Keywords: wildfires ; hillslope erosion ; satellite imagery ; rainfall erosivity ; RUSLE ; rockfall source areas ; identification ; relief ; slope angle ; rock mass strength ; rockfall susceptibility ; land subsidence ; Geographic Information System (GIS) ; InSAR ; machine learning algorithm ; meta-heuristics ; Iran ; k-Nearest Neighbor ; Random Forest ; fires ; Landsat 8 ; Sentinel 2 ; Terra ; ASTER ; MODIS ; burned ; mapping ; hazard chain ; turbidity ; suspended sediment detection ; extreme climate events ; tailing dam risk management ; spatiotemporal pattern mining ; El Niño ; remote sensing ; geographic information system ; flash floods ; visual analysis ; SAR offset tracking ; glacier surface velocity ; glacier instability ; glacier hazards ; ice avalanches ; ENSO ; glacier mass balance ; glacier surface energy ; earthquake ; coseismic effects ; field line resonance ; acoustic gravity waves ; lithosphere-magnetosphere coupling ; burnt area monitoring ; Australia ; Sydney ; wildfire ; earth observation ; mid-resolution sensors ; time series analysis ; burn severity ; climate zones ; deep learning ; PRISMA ; burned area ; Sentinel-2 ; morphological operator ; convolutional neural network ; casualty prediction ; importance assessment ; spatial division ; support vector regression ; digital image correlation ; phase correlation ; optical flow ; time series image stack ; landslides ; ground motion identification ; displacement mapping ; UAS ; risk assessment ; random forest ; DInSAR ; Yan’an city ; settlement prediction ; reclaimed land ; exponential model ; Asaoka method ; wide-area deformation ; deformation detection ; time-series InSAR ; stacking ; Turpan–Hami basin ; heavy rainfall ; shallow landslides ; TRIGRS model ; spatial distribution ; susceptibility assessment ; Longchuan County ; Guangdong Province ; MT-InSAR ; ground deformation monitoring ; Sentinel-1A/B ; image partition ; block adjustment ; Gaofen-2 ; Interferometric synthetic aperture radar (InSAR) ; freeze–thaw processes ; permafrost ; Qilian Mountains ; natural hazards ; hazard ; vulnerability ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
    Keywords: transportation meteorology ; pavement temperature prediction ; deep learning ; BiLSTM ; attention mechanisms ; winter icing ; air pollution ; traffic vitality ; built environment ; spatial correlation ; spatial lag model ; phone signaling data ; air quality ; behavioral habits ; activity density ; population distribution ; land use mix ; wind forecast ; error decomposition ; bias ; distribution ; sequence ; urban meteorology ; observation ; forecast ; early warning ; review ; China ; low-level wind shear ; ensemble learning classifiers ; Bayesian optimization ; SHapley Additive exPlanations ; wind shear ; go-around ; machine learning ; dynamic ensemble selection ; civil aviation safety ; pilot reports ; self-paced ensemble ; Shapley additive explanations ; climate change ; climatology ; sea ice ; marginal sea ; East Asia ; time-series modeling ; pavement temperature ; nowcasting ; variation characteristics ; forecast validation ; relative humidity ; microwave radiometer data ; total rainfall ; precipitation duration ; vertical distribution ; Beijing–Tianjin–Hebei region ; rail breakage ; frequency ; high-speed railway ; Siberian high ; teleconnection ; temperature ; Qinling mountains ; rainfall ; change characteristics ; geographical factors ; highways ; road blockage ; fuzzy analytic hierarchy process ; CRITIC weight assignment method ; road network vulnerability ; spatiotemporal distribution ; precipitation forecast ; ConvLSTM ; PredRNN ; expressway ; agglomerate fog ; risk level prediction of fog-related accidents ; meteorological conditions ; road hidden dangers ; traffic flow conditions ; visibility ; Yellow Sea and Bohai Sea ; observation data ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wealth of domain-specific information they hold. These data play a critical role in addressing issues like national security, cybersecurity, marketing, medical informatics, and fraud detection. Deep learning techniques have gained immense popularity. They empower the analysis and understanding of vast amounts of unsupervised data, making them invaluable for processing when raw data lack categorization and labels. These applications extend to working with medical images and signal processing for wellness devices, remote monitoring, and neural devices. In industrial settings, data can be used for early warning systems in assembly lines, while massive datasets can be derived from electronic health records and hospital information systems, for example. This reprint is dedicated to exploring the application of deep learning in tackling significant challenges related to big data, images, and signals. It seeks to unravel the potential of these cutting-edge technologies in addressing complex real-world problems across diverse sectors.
    Keywords: big data ; image processing ; deep learning ; signal processing ; digital era ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports.
    Keywords: heterogeneous transformation ; SAR image ; optical image ; conditional generative adversarial nets (CGANs) ; self-supervised ; synthetic aperture radar (SAR) ; despeckling ; enhanced U-Net ; video synthetic aperture radar (Video-SAR) ; moving target tracking ; guided anchor Siamese network (GASN) ; interferometric synthetic aperture radar ; deep convolutional neural network ; phase unwrapping ; unsupervised change detection ; polarimetric synthetic aperture radar (PolSAR) ; UAVSAR ; multi-scale shallow block ; multi-scale residual block ; synthetic aperture radar ; image registration ; transformer ; deep learning ; SAR target detection ; multiscale learning ; ship detection ; SAR ship detection ; position-enhanced attention ; lightweight backbone ; image augmentation ; building extraction ; SAR ; semantic segmentation ; SAR dataset ; single-stage detector ; two-stage detector ; anchor free ; train from scratch ; oriented bounding box ; multi-scale detection ; computer vision ; low-grade road extraction ; remote sensing ; image segmentation ; optical images ; scene classification ; on-board ; lightweight self-supervised algorithm ; synthetic aperture radar (SAR) image ; arbitrary-oriented ship detection ; differentiable rotational IoU algorithm ; triangle distance IoU loss ; attention-weighted feature pyramid network ; multiple skip-scale connections ; attention-weighted feature fusion ; Rotated-SARShip dataset (RSSD) ; object classification ; radar image reconstruction ; convolutional neural networks ; ResNet18 ; GBSAR ; Omega-K algorithm ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: Advancements in medical imaging modalities have resulted in increasing the importance and demand of pediatric radiology. This reprint showcases various examples of advanced research in pediatric radiology and nuclear medicine. These include the use of medical imaging modalities such as computed tomography, general radiography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and ultrasound for diagnosis, as well as the performance of artificial intelligence (AI) in computer-aided detection and diagnosis in the pediatric population. The radiation dose issue of pediatric radiological examinations and emerging AI technology for dose reduction, as well as the use of three-dimensional printing based on medical images for pediatric surgical planning, healthcare professional education, and patient–clinician communication are also covered.
    Keywords: as low as reasonably achievable ; computed tomography ; convolutional neural network ; deep learning ; dose reduction ; generative adversarial network ; image processing ; machine learning ; medical imaging ; noise ; contrast-enhanced ultrasound ; head ultrasound ; brain death ; infants ; ancillary test ; child ; paediatric ; infant ; adolescent ; chest X-ray ; CXR ; chest radiography ; COVID-19 ; SARS-CoV-2 ; coronavirus ; biliary atresia ; ultrasonography ; diagnostic accuracy ; intraoperative cholangiography (IOC) ; diagnostic performance ; elastography ; three-dimensional printing ; congenital heart disease ; children ; model ; personalized medicine ; application ; confusion matrix ; disease identification ; image interpretation ; pneumonia ; artificial intelligence (AI) ; deep learning (DL) ; paediatric pneumonia ; chest radiograph ; computer-aided detection (CAD) ; cumulative ; radiation dose ; acute tonsillitis ; shear wave elastography ; stiffness ; pediatric ; magnetic resonance imaging ; infection ; neck ; emergency medicine ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This Special Issue aims to highlight how plant breeding could contribute to strengthening sustainability in field crop production by integrating the application of modern technologies and tools. This Reprint contains eleven articles focusing on the most recent topic of plant breeding.
    Keywords: target-site resistance ; ahas ; als ; Triazolopyrimidine herbicide ; Lolium rigidum ; winter cereals ; CO2 enrichment ; drought stress ; WUE ; climate change ; Helianthus ; sunflower ; morphological ; sustainable ; glyphosate ; pesticide ; residue ; pollution ; weed control ; organic plant production ; barley ; Pyrenophora teres f. teres ; net blotch disease ; biotic stress ; superoxide dismutase ; antioxidant enzyme ; cereals ; water shortage ; carbon dioxide ; root development ; Triticum aestivum L. ; wheat ; seed germination ; seedling development ; germination time ; low-temperature stress ; leaf discolouration ; seedling stage ; SSR markers ; near-isogenic line ; rice (Oryza sativa L.) ; pepper ; general defence response ; tissue retention ; hypersensitivity response ; resistance breeding ; Agrobacterium-mediated transformation ; functional genomics ; Solanum lycopersicum L. ; Micro-Tom ; DsRed fluorescence ; Agrobacterium rhizogenes ; soil salinity stress ; adaptation ; environmental share ; interaction ; plant breeding ; sustainability ; pepper breeding ; bacterial spot resistance ; Xanthomonas hortorum pv. gardneri ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The 10th International Conference on Modern Circuit and System Technologies on Electronics and Communications (MOCAST 2021) will take place in Thessaloniki, Greece, from July 5th to July 7th, 2021. The MOCAST technical program includes all aspects of circuit and system technologies, from modeling to design, verification, implementation, and application. This Special Issue presents extended versions of top-ranking papers in the conference. The topics of MOCAST include:Analog/RF and mixed signal circuits;Digital circuits and systems design;Nonlinear circuits and systems;Device and circuit modeling;High-performance embedded systems;Systems and applications;Sensors and systems;Machine learning and AI applications;Communication; Network systems;Power management;Imagers, MEMS, medical, and displays;Radiation front ends (nuclear and space application);Education in circuits, systems, and communications.
    Keywords: incremental power and timing optimization ; Lagrangian relaxation ; gate sizing ; multimode multicorner ; physical optimization ; two-qubit states ; quantum computers ; quantum gates ; Rabi oscillations ; single qubit quantum computer ; quantum operations simulation ; vision transformers ; computer vision ; deep learning ; artistic style recognition ; memristor model ; tantalum oxide ; memory crossbar ; nonlinear dopant drift ; window function ; LTSPICE library memristor model ; stochastic computing ; stochastic filtering ; stochastic FIR filter ; unconventional computing ; electrical masking ; interconnection delay ; Single Event Multiple Transients ; Soft Error Rate ; STA ; TCAD ; timing-masking ; transient faults ; IoT ; wireless sensor networks ; hydroponics ; smart agriculture ; Network-on-Chip ; bufferless routing ; 3D NoC ; Markov chains ; visible light communication (VLC) ; wireless communication ; analog front end (AFE) ; pre-amplification ; classification ; COVID-19 ; lightweight neural network ; medical imaging ; chest X-rays ; image sensors ; 3D pixels ; 3D sequential integration ; 3DSI ; monolithic 3D ; M3D ; coupling ; parasitic capacitances ; memristor ; emulator ; analog design ; switched capacitor ; mixed signal ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This Special Issue on advanced sensor technologies contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed. In addition to advances in methodology, applications in healthcare, mining tunnels, cleaning, warehouses and other areas are mentioned.
    Keywords: UAVs ; inspection and maintenance ; mobile robots ; insulators ; artificial intelligence ; mobile cleaning robot ; vibration source classification ; predictive maintenance ; deep learning ; 1D CNN ; defect detection ; Faster R-CNN ; object detection ; IoRT ; inspection robot ; navigation ; model predictive control ; path planing ; warehouse automation ; underground mining robots ; scan matching ; localization and SLAM in tunnels ; 2D lidar navigation ; GPS-denied environment ; robot navigation ; path planning ; potential field ; bilinear interpolation ; dynamic local re-planning ; domestic dirt ; dirt dataset ; audit robot ; cleaning benchmark ; dirt classification ; robot-aided cleaning auditing ; geometrical feature ; cleaning auditing ; swarm algorithms ; motion trajectory prediction ; kinematical models ; gait biomechanics ; spherical robot ; model ; simulation ; CoppeliaSim (V-REP) ; visual servoing ; autonomous landing ; monocular vision ; aerial robotics ; localization and SLAM ; 3D lidar ; range sensing ; Uniform Second-Order Sliding Mode Observer ; Prescribed Performance Control ; robot manipulators ; finite-time Stability ; feature detection ; light-weight mapping ; B-splines ; localization ; mobile robot ; complete coverage ; path smoothing ; velocity profile optimization ; humanoid robot ; state estimation ; motion capture ; Whole-Body Control ; ADHD ; screening ; skeleton ; position estimation ; indoor positioning ; sensor fusion ; RSSI ; magnetometer ; fingerprint ; wheeled mobile robots ; trajectory generation ; velocity profile ; trajectory optimization ; Bézier curves ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: The reliability of high-voltage equipment is critical to the safe operation of the power grid. This reprint focuses on the new developments and advances in both fundamental and applied research on the testing, monitoring, and diagnostics of high-voltage equipment, including insulators, transformers, etc.
    Keywords: HV bushing ; dielectric response ; paper–oil insulation ; temperature distribution ; distribution transformers ; failure analysis ; monitoring ; diagnostic method ; frequency response ; open and short-circuit response ; hydro-generators ; partial discharges ; PD Spectral Pulse Counting Map (PD-SPCM) ; microstrip antenna ; UHF method ; Frequency Resolved Partial Discharges (FRPD) ; AC breakdown characteristics ; arresters ; lightning protection insulator ; electric field calculation ; icing conditions ; cable insulation ; contact surface ; dielectric breakdown ; electrical breakdown ; polymeric insulation ; solid–solid interface ; surface roughness ; insulator ; deicing ; hot water jet ; numerical calculation ; temperature spatial distribution ; pollution insulators ; nonsoluble deposit density ; flashover characteristics ; arc parameters ; high voltage apparatus ; deep learning ; classification ; localization ; partial discharge ; faults ; outdoor insulators ; railway electrification system ; outdoor porcelain insulators ; low-frequency flashover AC voltage ; lightning impulse critical-flashover voltage ; icing ; anti-icing ; de-icing transmission lines ; ice-melting ; icing disaster ; diameter-expanded conductor ; current transferred ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: This book highlights the role of research in Ecosystem Services and Land Use Changes in Asia. The contributions include case studies that explore the impacts of direct and indirect drivers affecting provision of ecosystem services in Asian countries, including China, India, Mongolia, Sri Lanka, and Vietnam. Findings from these empirical studies contribute to developing sustainability in Asia at both local and regional scales.
    Keywords: coast ; Odisha ; Brahmani River ; climate resilience ; water management ; water quality ; hydrological simulation ; management plan ; water-energy nexus ; spatial water variability ; climate change ; thermal power plant ; Ganges River basin ; 3Rs program ; landscape sustainability ; municipal solid waste ; pig farming ; resource circulation ; resource use efficiency ; urban–rural nexus ; zero-waste lifestyle ; herder ; rangeland degradation ; perception ; traditional rangeland management practices ; Mongolia ; expansion of impervious surface ; underground space development ; deep soil excavation ; SOC loss in deep soil ; urban renovation ; Guangzhou city ; ecological sensitivity ; ecosystem service values ; CA-Markov model ; urban expansion ; Three Gorges Reservoir area ; land use ; ecosystem services ; InVEST ; topographic index ; ecosystem pattern ; wetland ecosystem ; urban wetland ; wetland ecosystem services ; Muthurajawela Marsh ; Negombo Lagoon ; sustainability ; land change modeling ; scenario modeling ; wind erosion prevention service ; revised wind erosion equation ; geo-detector ; food-energy-water security ; nexus ; weighted mean method ; indicator framework ; circulating ecological sphere ; Nagpur ; land use change ; ecosystem service value ; patch-general land use simulation (PLUS) model ; Guanzhong Plain Urban Agglomeration ; heat stress ; WBGT index ; humidex index ; public perceptions ; payment for watershed ecosystem services ; willingness to pay ; willingness to accept ; public participation ; village tank cascade system ; land use systems ; ecosystem services mapping ; ecosystem services trade-offs ; ecosystem services-based ecological restoration ; land-use change ; hotspot analysis ; Geodetector ; central Yunnan urban agglomeration ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Mountain forests and alpine ecosystems are rich in biodiversity and endemism, and they are also large global carbon stores. They are highly threatened by climate change, population growth and land use change. Mountains represent an ideal natural laboratory in which the evolution of social–ecological systems can be investigated and to the current challenges and opportunities that this past evolution has created can be assessed. Mountains have been centres of past development and conduits for the spread of crops, populations and technologies. They were and remain a locus for cultural interaction, as manifested recently in many parts of the world at the local level through pastoral–agricultural–urban interactions over access to space and resources, particularly water. The relevance and impact of this Special Issue on mountains goes beyond academia, as practitioners and policymakers need key information on the dynamics and changes in threatened ecosystems to help design and implement appropriate management strategies for sustainable mountain futures.
    Keywords: environmental perceptions ; land function ; rural space ; karst mountain area ; Mediterranean ; Montenegro ; mountain ; katun ; traditional architecture ; vernacular heritage ; transhumance ; extensive cattle rearing ; ecological indices ; land abandonment ; land management ; meadows ; mountain agroecosystems ; mowing tolerance ; mountain vegetation ; pastures ; spreadsheet ; fractal characteristics ; natural geographical features ; water-facing distribution ; suitable space ; rural mountain settlements ; population ; population trends ; urbanisation ; sustainable development ; deforestation ; shifting cultivation ; traditional fallow ; swiddens ; land-use change ; spatial effects ; small-scale context ; socio-economic drivers ; policy assessment ; CAP ; policy trade-offs ; mitigation policies ; gully agricultural production transformation ; rural development ; sustainable land use ; geographically and temporally weighted regression ; gully land consolidation ; farmer ; Chagga ; gender ; East Africa ; local knowledge ; Kilimanjaro ; Hehe ; Udzungwa ; wealth groups ; alpine and montane ecosystems ; austral perspective ; environmental sustainability ; global change ; long-term research ; mountain observatories ; multi-disciplinary research ; social context ; socio-ecological coupling ; Southern Africa ; model complexity ; model validation ; Landsat ; satellite data ; species distribution models ; connectivity ; fragmentation ; Maxent ; functional traits ; environmental drivers ; mycorrhizas ; fourth corner ; RLQ ; Andean forests ; alpine ; mountains ; climate change ; experimental manipulations ; PRISMA ; precipitation ; drought ; vegetation ; New Zealand ; hill country ; poplar ; kānuka ; agroforestry ; silvopasture ; soil conservation ; erosion ; ecosystem services ; alien species ; biological invasions ; citizen science ; elevation ; species abundance ; tree invasions ; woody plant encroachment ; adaptation strategies ; ethnicity ; farmers ; Itombwe Mountains ; perceptions ; wealth group ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: Non-destructive testing and evaluation are commonly referred to as the vast group of analysis techniques used in civil, medical, and industrial sectors to evaluate the properties of materials, tissues, components, or structures, without causing any damage. Automation offers many benefits for non-destructive testing to cope with increasing demands, including improved reliability and higher inspection speeds. Additionally, robots enable inspections in locations that are not easily accessible to human operators and allow for humans to be removed from potentially dangerous environments. However, the perceived complexity and high costs have limited the adoption of automation. As a result, the full potential that could be derived from the seamless integration of robotic platforms with sensors, actuators, and software has not been fully explored; it could still revolutionise the way that automated inspections are performed and conceived. The recent advancements in electronics, robotics, sensor technology and software pave the way for new developments in automated testing and data-driven autonomous robotic inspections in several sectors. This Special Issue aimed to attract the latest research outcomes in the field of robotic sensing. Five papers relate to inspection systems based on robotic fixed-base manipulators, three of which are associated with in-process inspection in manufacturing applications (robotic wire-arc welding and additive manufacturing). Four papers report research advancements in mobile robotic-enabled sensing.
    Keywords: wall-climbing robot ; passive adaptive mechanism ; magnetic circuit optimization ; flexible detection method ; welding robot ; seam tracking ; laser sensor ; feature point extracting ; complex welding seam ; UAVs ; inspection ; soft robotics ; non-destructive evaluation ; robotic NDE ; robotic welding ; robotic control ; in-process NDE ; ultrasonic NDE ; ultrasound ; image motion analysis ; image processing ; optical flow ; underwater robotic ; NDT ; free-form surface profiling ; autonomous robotic systems ; in-process robotic NDE ; Wire + Arc Additive Manufacture (WAAM) ; ultrasound testing ; total focusing method ; defect recognition ; aircraft inspection ; deep learning ; CNN ; UAV ; defect classification ; AI ; underwater vehicle–manipulator system ; robotics emulator ; contact management ; remote inspection ; force control ; automated eddy current testing ; eddy current arrays ; robotics ; thermography ; non-destructive testing ; image alignment ; image blending ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: This book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land parameters. This is fundamental in the study of climate change and global warming. The authors offer an overview of different methodologies to retrieve land surface parameters— evapotranspiration, emissivity contrast and water deficit indices, land subsidence, leaf area index, vegetation height, and crop coefficient—all of which play a significant role in the study of land cover, land use, monitoring of vegetation and soil water stress, as well as early warning and detection of forest fires and drought.
    Keywords: Sentinel-2 ; spectral bands ; LAI ; vegetation indices ; Sentinel-1 ; SAR ; RVI ; incidence angle ; crop coefficient ; leaf area index ; urban heat island ; UHI regional impacts ; non-urban areas ; remote sensing ; thermal band ; UHI intensity ; remote sensing/GIS ; spatial dynamics ; landscape metrics ; urban–rural gradient ; urbanization ; automatic monitoring ; time series ; change detection ; urban planning ; hyperspectral ; cacti ; drone ; climate change ; drought ; water deficit index ; infrared observations ; satellite ; surface temperature ; air temperature ; humidity ; dew point temperature ; land subsidence ; DInSAR ; differential interferograms stacking ; floods ; coastal plain of Tabasco ; crop residue ; fusion ; machine learning algorithm ; reflective and radar bands ; land-cover change ; REDD+ ; Google Earth Engine ; random forest ; landsat ; Togo ; emissivity ; evapotranspiration ; heterogeneity ; Rao’s Q index ; spectral variation hypothesis ; thermal infrared ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics
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  • 43
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Food systems are under increasing pressure. They must meet the food requirements of a growing world population, and socio-economic changes also influence the type of foods which are under demand. At the same time, food systems are a major contributor to global environmental change, and environmental changes adversely impact agricultural productivity. This Special Issue explores opportunities and challenges towards achieving more sustainable food systems. Essential changes required in food systems are highlighted, such as more effective food distribution, the avoidance or valorisation of food waste, and less meat consumption. How to actually achieve these required changes across food value chains is also presented. This Special Issue supports solution-oriented approaches towards addressing one of most complex challenges of this century. The reader is invited to study the publications included in this Special Issue in detail.
    Keywords: consumer attitudes ; meat avoiders ; meat reducers ; environmental concerns ; global warming ; climate change ; sustainability ; ecology ; planetary health ; food security ; land ; land use consolidation ; land-use planning ; land tenure ; rural development ; Rwanda ; tenure responsive ; tenure responsive land-use planning ; tenure security ; demographic correlates ; food access ; household ; food insecurity experience scale ; Zanzibar ; sub-Saharan Africa ; vulnerability of food systems ; food neophobia ; environmental concern ; global environmental change ; behavior change ; willingness to pay (WTP) ; organic foods ; China ; Bibliometrics ; food rescue ; convention center ; greenhouse gas emissions ; landfill diversion ; anaerobic digestion ; codigestion ; food waste ; organic waste ; energy and resource recovery ; food waste disposal ; loss aversion ; dead hogs ; policy evaluation ; hog production ; chilli pepper ; organic manure ; application rate ; elevated temperature ; rain-shelter plastic house ; greenhouse ; field ; maize ; agrobiodiversity ; traditional food systems ; local knowledge ; cultural practices ; sustainable agriculture ; supply chain coordination ; supply chain sustainability ; livestock industry ; guanxi ; trust ; dynamic environment ; repeated purchase intention ; agricultural food system ; food policy ; food system sustainability ; urban agriculture ; local development ; food governance ; stakeholder engagement ; food systems ; global food regimes ; innovation ; political–economy ; social–ecological systems ; transformation ; regime shifts ; resilience ; sustainability in the food sector ; food supply chains ; food insecurity ; food waste and loss ; innovation and change ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
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  • 44
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This reprint covers topics on geographical scale of glacier and lake ice variations, as well as the engineering scale of ice properties and their practical applications via laboratory tests and numerical modeling.
    Keywords: level ice ; ice resistance ; probability distribution ; polar ship ; circumferential crack method ; ice phenology ; Eurasia ; analytical model ; climate ; altitude ; spatial statistics ; glacier resources ; glacier inventory ; climate change ; topography ; Xinjiang ; polar ships ; propeller ; ice blockage ; cavitation effect ; EFD-CFD ; Manas river basin ; Kaidu river basin ; glacier mass balance ; Geographical detector ; attribution analysis ; arctic oil and gas resources ; Kulluk platform ; mooring system ; ice load ; ice-structure interaction ; sea ice ; fresh-water ice ; parametrization scheme ; melting rate ; laboratory study ; unmanned aerial vehicles ; SIFT algorithm ; brutal force matching ; RANSAC algorithm ; ice velocity ; blasting under ice ; dynamic simulation ; blasting volume ; parameter analysis ; collaborative bearing capacity ; analytic hierarchy process ; SD model ; simulation prediction ; Ulan Suhai Lake ; lake ; wetlands ; optical satellite data ; cloud ; Wuliangsu Lake ; ship ice accumulation ; sea spray ; marine structures ; SPH-FEM coupling method ; distilled water ice ; uniaxial compressive strength ; growth temperature of ice ; strain rate ; grain size ; ice core ; fabric ; microstructure ; glacial shear margin ; Dalk Glacier ; river ice ; thickness ; GPR ; temperature ; Yellow River ; water resources from melted glaciers ; lake ice phenology ; ice properties ; ice engineering ; ecosystem under lake ice ; 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
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  • 45
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: Ciguatoxins (CTXs), which are responsible for Ciguatera fish poisoning (CFP), are liposoluble toxins produced by microalgae of the genera Gambierdiscus and Fukuyoa. This book presents 18 scientific papers that offer new information and scientific evidence on: (i) CTX occurrence in aquatic environments, with an emphasis on edible aquatic organisms; (ii) analysis methods for the determination of CTXs; (iii) advances in research on CTX-producing organisms; (iv) environmental factors involved in the presence of CTXs; and (v) the assessment of public health risks related to the presence of CTXs, as well as risk management and mitigation strategies.
    Keywords: ciguatoxins ; HRMS ; Q-TOF ; ciguatera poisoning ; C-CTX1 ; fragmentation pathways ; maitotoxins ; Gambierdiscus ; Fukuyoa ; LC-MS/MS ; QToF ; neuroblastoma cell assay ; matrix effect ; ciguatera monitoring ; SPATT passive samplers ; HP20 resin ; CBA-N2a ; WS artificial substrate ; qPCR ; HTS metabarcoding ; ciguatera ; ciguatoxin ; cytotoxicity assay ; ELISA ; HPLC ; immunoassay ; mouse bioassay ; receptor-binding assay ; ciguatoxins (CTXs) ; neuroblastoma cell-based assay (CBA) ; immunosensor ; pacific ciguatoxins ; natural product ; polycyclic ether ; ring-closing metathesis ; Tsuji-Trost allylation ; French Polynesia ; epidemiology ; toxicological analyses ; risk management ; climate change ; Gambierdiscus polynesiensis ; toxin profile ; nitrate ; urea ; culture medium acidification ; CTX1B ; 52-epi-54-deoxyCTX1B ; 54-deoxyCTX1B ; Dictyota ; Caribbean ; dinoflagellate ; benthic algae ; algal toxin ; harmful algal bloom ; the Indian Ocean ; Arabian sea ; Kuwait bay ; Aden Gulf ; Red Sea ; Gulf of Aqaba ; Andaman Sea ; Bay of Bengal ; seafood safety ; foodborne disease ; experimental exposure ; lionfish ; trophic transfer ; toxin accumulation ; Selvagens Islands ; morphology ; phylogeny ; benthic dinoflagellate ; Beibu Gulf ; Chinese waters ; least absolute shrinkage and selection operator ; machine learning ; data science ; medical informatics ; survival analysis ; foodborne diseases ; Ciguatera Fish Poisoning ; digital technologies ; open data ; risk analysis ; marine biotoxins ; Lagodon rhomboides ; pinfish ; bioaccumulation ; depuration ; Caribbean ciguatoxin ; growth dilution ; model ; kinetics ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology::MMGT Medical toxicology
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  • 46
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning.
    Keywords: forecasting model ; electricity energy consumption ; grey model ; artificial neural network ; machine learning ; rotation CART ensemble ; bagging ; boosting ; arcing ; simplified selective ensemble ; linear stacked model ; IoV ; xNN ; K-MEANS ; anomaly detection ; single-index models ; composite quantile regression ; SCAD ; Laplace error penalty (LEP) ; causality ; Bayesian networks ; scalability ; group lasso penalty ; data integration ; network estimation ; stability selection ; time series model ; wavelet transform ; neural network NARX ; ionospheric parameters ; gambling ; jackpot ; multidimensional integrals ; Monte Carlo methods ; lattice sequences ; digital sequences ; surface approximation ; surface segmentation ; surface denoising ; gaussian process latent variable model ; line geometry ; line elements ; regression ; classification ; prediction ; meteorological parameters ; traffic incidents ; multi-agent architecture ; air pollution ; random forest ; ARIMA errors ; MIMO averaging strategy ; multi-step ahead prediction ; unmeasured forecast ; Explainableartificial intelligence ; credit card frauds ; deep learning ; long short-term memory ; fraud classification ; lung cancer ; tumor ; CT image ; one-stage detector ; YOLO ; multi-scale ; receptive field ; data analysis ; decision trees ; LightGBM ; SHAP ; leisure time ; influencing factors ; time allocation ; neural networks ; cosmic rays ; space weather ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint showcases a selection of bleeding-edge articles about medical image processing and segmentation workflows based on artificial intelligence algorithms. The proposed papers are applied to multiple and different anatomical districts and clinical scenarios.
    Keywords: fundus image ; image registration ; deep learning ; computer vision applications ; nuclei segmentation ; histopathology ; Grad-CAM ; semantic segmentation ; instance segmentation ; nuclei detection ; pap smear ; cervical net ; shuffle net ; canonical correlation analysis (CCA) ; support vector machine (SVM) ; random forest (RF) ; k-nearest neighbour (KNN) ; artificial neural network (ANN) ; dual-energy CT ; two-step method ; limited-angular range ; directional total variation ; PA ; CNN ; tooth disease recognition ; image segmentation ; image preprocessing ; breast cancer ; mitotic nuclei classification ; histopathology images ; artificial hummingbird algorithm ; medical imaging ; cervical cancer ; feature fusion ; feature selection ; deep learning structures ; support vector machine ; disease discrimination accuracy ; performance comparisons ; 2D/3D registration ; orthogonal X-ray ; breast density ; CAD ; image enhancement ; textural ; auto-segmentation ; neuroimaging ; magnetic resonance imaging ; ovarian tumor ; 2D ultrasound image ; image inpainting ; lesion segmentation ; attention mechanism ; GAN ; medical image analysis ; synthetic CT ; MRI guidance ; MRI-only ; image-guided radiotherapy ; carbon ion radiotherapy ; particle therapy ; rare tumor ; PCNSL ; radiomics ; image normalization ; MRI ; prostate cancer ; prostate segmentation ; U-Net ; mp-MRI ; loss function ; automatic volume measurement ; ultrasound bladder scanner ; edge computing ; urinary disease ; artificial intelligence ; mandible ; segmentation ; 3D virtual reconstruction ; CBCT ; CT ; Convolutional Neural Networks ; comparison ; in-house ; software ; patch size ; Cranio-Maxillofacial surgery ; DICOM ; osteoarthritis ; histopathological ; hematoxylin eosin ; safranin O fast green ; DarkNet-19 ; MobileNet ; NasNet ; ResNet-101 ; ShuffleNet ; PCA ; ALO ; ensemble learning ; OCT ; pyramidal network ; scale-adaptive ; teeth segmentation ; panoramic radiographs ; mask-transformer-based networks ; panoptic segmentation ; tuberous sclerosis complex ; children ; convolutional neural network ; multi-contrast MRI ; rare neurodevelopmental disorder ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 48
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The sustainable development of agriculture is not only dependent on economics and policy but also relies on decisions to increase sustainability through either (1) specialization (e.g., sustainable intensification) or (2) diversification (e.g., ecological intensification). Understanding the historical context of the region being evaluated is critical to selecting ideal development strategies. Depending on the emphasis on either specialization or diversification, sustainable development can follow different pathways. Specialization during agricultural development is typically concentrated in specific geographic areas with comparative advantages in terms of agricultural production. However, tradeoffs to agricultural specialization include greater reliance on purchased external inputs, greater dependence on government support, and international and interregional interdependence. Addressing the economic and environmental challenges of specialized agricultural production requires a focus on detailed models and field experiments to help balance productivity with reduced environmental impacts. Diversification can incorporate both enterprise diversification as well as ecological intensification strategies, such as integrating livestock and agroforestry with crops. Despite the promises of maintaining the diversity of small shareholders in the developing world, challenges remain. Regional case studies can be used to inspire and implement diversified agricultural systems for the creation of more sustainable future food systems around the world.
    Keywords: consumers’ food preference ; contingent valuation ; purchasing power ; market prospects ; rural economy ; sustainability ; agricultural development ; agricultural economic cycle ; agricultural policies ; binary outcome models ; off-farm ; rural development ; principal component analysis ; wage employment ; child health ; commercialization potential ; conservation status ; livelihood ; policy ; sustainable ; agricultural mechanization ; structural equation model (SEM) ; partial least square (PLS) ; affecting factors ; agri-food supply chain ; almond nuts ; export demand ; retaliatory tariff policy ; feed brand loyalty ; switching behavior of egg producers ; egg-producing farmers ; logistic regression ; edible beans ; planting behavior ; high quality ; multilevel model ; determinants ; China ; “Belt and Road” ; agriculture products ; trade structure ; social networks ; QAP ; content-based analysis ; media coverage ; spatiotemporal distribution ; sustainability trade-offs ; Targeted Poverty Alleviation Strategy ; industry chain ; government grants ; technological innovation in agricultural enterprises ; R&D investment ; fast growing tree plantations ; inherently nutrient-poor soil ; improved germplasms ; increased stand wood biomass ; healthier soils ; sustainable development goals ; diversity indexes ; cultivars ; livestock breeds ; Maine ; climate change ; farm irrigation facilities ; agriculture total factor productivity (TFP) ; technical advancement ; roadside vegetation ; reduced mowing ; pollinators ; ecotypic seed ; native plant material ; human food ; Opuntia stricta ; organic production ; non-conventional vegetable ; soluble solids ; agrometeorological modeling ; multiple linear regression ; statistical model ; sugarcane ; yield prediction ; agricultural frontier ; Brazil ; land conversion ; land use ; southern Amazon ; supervised classification ; Teles Pires River ; territorial dynamics ; agricultural education ; agricultural producers ; agricultural professionals ; education and learning processes ; questionnaires ; rural extension ; environmental impact ; soil conservation ; water erosion prediction ; watershed ; WEPP parameters ; Amazon ; beef ; deforestation ; environmental impacts ; greenhouse gases ; livestock intensification strategies ; Cerrado-Amazon ; crops ; geoprocessing ; GIS ; mapping ; rainfall simulator ; satellite images ; soil erosion ; ecological forest ranger ; policy satisfaction ; fuzzy set ; qualitative comparative analysis ; influencing factors ; Amazonia ; Google Earth Engine ; hydro-sedimentology ; reflectance ; satellite imagery ; available water capacity ; hydraulic conductivity ; pore distribution curve ; retention curve ; soil texture ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCM Development economics and emerging economies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and remote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent research in precision agriculture has used multispectral images from different platforms, such as satellites, airborne, and, most recently, drones. These images have been used for various analyses, from the detection of pests and diseases, growth, and water status of crops to yield estimations. However, accurately detecting specific biotic or abiotic stresses requires a narrow range of spectral information to be analyzed for each application. In data analysis, the volume and complexity of data formats obtained using the latest technologies in remote sensing (e.g., a cube of data for hyperspectral imagery) demands complex data processing systems and data analysis using multiple inputs to estimate specific categorical or numerical targets. New and emerging methodologies within artificial intelligence, such as machine learning and deep learning, have enabled us to deal with these increasing data volumes and the analysis complexity.
    Keywords: vineyard ; pesticide application ; variable rate application ; unmanned aerial vehicle ; satellite ; nanosatellite ; monsoon crops ; leaf area index ; leaf chlorophyll concentration ; crop water content ; multispectral ; hyperspectral ; deep learning ; forage dry matter yield ; high-throughput phenotyping ; Brazilian pasture ; nitrogen indicator ; nitrogen nutrition diagnosis ; optical sensor ; spectral index ; UAV ; wheat lodging ; lightweight ; digital surface model (DSM) ; winter wheat ; fractional order differential ; continuous wavelet transform ; optimal subset regression ; support vector machine ; wheat powdery mildew ; machine learning ; information fusion ; remote sensing monitoring ; hyperspectral imaging ; dimensionality reduction ; LDA ; PLS ; PCA ; RandomForest ; ReliefF ; XGB ; Meloidogyne ; Solanum tuberosum ; soil salinity sensitive parameter ; random forest ; optimal retrieval model ; remote sensing ; high throughput phenotyping ; UAV/drone ; biomass estimation ; oats ; wheat ; yield prediction ; random forests ; satellite imagery ; Normalized Difference Vegetation Index (NDVI) ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Collectively, the studies presented in this reprint have used various validated biomechanical models or proposed novel methods of motion analysis to gain new insights into health-related problems and sports performance.
    Keywords: human ankle model ; product of exponentials formula ; anthropometry ; biomechanics ; coordinate measuring machines ; kinematics ; pose estimation ; position measurement ; biomedical informatics ; adolescent idiopathic scoliosis (AIS) ; surface electromyography (sEMG) ; paraspinal muscle ; Schroth exercise ; paraspinal muscle symmetry index (PMSI) ; negative heel shoes ; positive heel shoes ; gait ; pregnant women ; OpenSim ; IDEEA ; dentistry ; dental unit chair systems ; muscle fatigue ; muscle activation ; in vivo study ; femoral neck fracture ; internal fixation ; intramedullary fixation ; finite element analysis ; finite element ; proximal junctional failure ; spinal reconstruction ; thoracolumbar ; rollback ; ligament strain ; kinematic alignment ; mechanical alignment ; total knee arthroplasty ; markerless motion capture system ; gait analysis ; joint moment ; joint power ; running economy ; running style ; duty factor ; vertical oscillation ; stride frequency ; freezing of gait ; gait initiation ; Parkinson’s disease ; posture ; segmental centers of mass ; anthropometric measurement ; base of support ; hand exoskeleton design ; motion simulation ; rehabilitation ; intention recognition ; machine learning ; deep learning ; two-dimensional (2D) image ; marker-free video ; walking speed ; walking speed classification ; bi-LSTM ; redundant feature ; ratio-based body measurement ; optimal feature ; surface topography ; rasterstereographic back shape analysis ; normative data ; healthy adults ; posture analysis ; spine ; intelligent system ; classroom behavior ; motion identification ; shoulder activity ; sensor ; rehabilitation protocol ; proximal humerus fracture ; ground reaction force ; knee and hip ; lower limb ; normal walking ; musculoskeletal multibody dynamics ; spinal biomechanics ; spinal alignment ; spinal loading ; muscle force computation ; thoracolumbar spine ; biomechanical model ; electromyography ; inertial measurement units ; gait-phase prediction ; spinal cord injury (SCI) ; muscle fiber conduction velocity (MFCV) ; surface electromyography (EMG) ; EMG–force relation ; composite index ; characteristic points ; multivariable linear regression ; anterior cruciate ligament deficiency ; competitive swimming ; performance ; velocity fluctuations ; multibody simulation ; finite element method ; co-simulation ; sports ; degeneration ; intervertebral disc ; coupled ; embryo implantation ; human choriocarcinoma cell ; extracellular matrix ; stiffness ; durotaxis ; n/a ; thema EDItEUR::M Medicine and Nursing
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Plant stress could be defined as any unfavorable condition or substance that can affect or block the metabolism, growth or development of a plant. The response of the plant may vary depending on the frequency and intensity of the stressor, as well as the developmental stage of the plant. Plants, throughout their life cycle, are exposed to a large number of conditions or stressors. Abiotic stress is stress caused by non-living agents. Depending on the nature of the causal agent, it can be divided into physical and chemical. Physical (actually, physical-chemical) stresses include water deficits, salinity (in its osmotic component), temperature extremes (heat, cold, freezing), excessive or insufficient irradiation, anaerobiosis caused by waterlogging or flooding, mechanical stress caused by wind or excessive soil compaction and stress induced by wounds or injuries. Chemical stress is caused by salinity (in its ionic or toxic component), by the lack of mineral elements and by environmental pollutants such as sulphur dioxide (SO2), nitrogen oxides (NOx), chlorofluorocarbon compounds (CFCs), ozone (O3) and metals. The abiotic stresses that most negatively affect growth and production are probably drought, salt stress and temperature stress (high and low temperatures), all of which are associated with climate change.
    Keywords: gene bank ; germination ; orthodox seeds ; priming ; reactive oxygen species ; deficit irrigation ; plant physiology ; ornamental plants ; water relations ; water-use efficiency ; abiotic stress ; climacteric fruit ; ethylene scavengers ; fruit quality ; potassium permanganate ; Prunus persica ; UV radiation ; climate change ; soilless agriculture ; blossom-end rot ; tipburn ; calcium deficiency ; basil ; heat stress ; metabolome ; transcriptome ; molecular mechanism ; antioxidase ; factor analysis ; ion homeostasis ; osmoregulatory substance ; salicylic acid ; salt stress ; Melia azedarach ; provenance ; water deficit ; physiology response ; comprehensive evaluation ; chilling stress ; phenolics ; momilactones ; gene expression ; biosynthesis ; ultra-performance liquid chromatography-electrospray ionization-mass spectrometry ; real-time quantitative polymerase chain reaction ; L-arginine ; phenological periods ; regulated deficit irrigation (RDI) ; root reserves ; yield ; brassicas ; hyperspectral reflectance ; imaging sensors ; plant phenotyping ; multicolor fluorescence imaging ; thermography ; vegetation index ; salt tolerance ; Triticum aestivum L. ; Triticum durum Desf. ; autophagy ; mitophagy ; PCD ; ROS ; electromagnetic field ; seed priming ; eustress ; seed aging ; phytohormones ; 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::TQ Environmental science, engineering and technology
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  • 52
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This collection gathers the advanced studies of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics cover, but are not limited to, supervised learning, explainable deep learning, finance, healthcare, and sciences.
    Keywords: Convolutional Neural Network (CNN) ; pooling ; deep learning ; computer vision ; image analysis ; benchmark ; lithium-ion battery ; prognostics ; long short-term memory ; ARIMA ; reinforcement learning ; generative adversarial networks ; deep-learning ; crop/weed classification ; transfer learning ; feature extraction ; natural language processing ; image-text matching ; cheapfakes ; misinformation ; transformer encoder ; RoGPT2 ; control tokens ; summarization ; text generation ; human evaluation ; tricalcium silicate ; analytical model ; ion activity ; dissolution kinetics ; deep forest ; subsurface fluid flow ; Fourier neural operator ; small-shape data ; finite element method ; convolutional neural network ; sensitivity analysis ; source code comments ; classification ; machine learning techniques ; ANN flow law ; constitutive behavior ; radial return algorithm ; numerical implementation ; VUHARD ; GrC15 ; Abaqus Explicit ; defect detection ; surface defect detection ; defect detection for X-ray images ; defect recognition ; photoacoustic imaging ; image processing ; simulation ; reconstruction ; residual echo suppression ; acoustic echo cancellation ; speech enhancement ; graph neural network ; variational autoencoder ; nearest neighbours ; acute myeloid leukemia ; risk factors ; average treatment effect ; uplift modelling ; machine learning ; benzene ; ANOVA ; Shapley values ; self-explaining neural networks ; generalised additive models ; interpretability ; Siamese networks ; synthetic data ; cyclic learning ; unsupervised learning ; data augmentation ; single cell cultivation ; bioimage analysis ; finite element simulation ; plausibility checks ; convolutional neural networks ; storm surge ; hurricane ; forecasting ; CNN ; LSTM ; physics informed neural network ; dynamic force identification ; duffing’s equation ; spring mass damper system ; non-linear oscillators ; massive MIMO ; hybrid beamforming ; compressive measurement matrix ; long short-term memory network ; capsule network ; routing algorithm ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: In this Special Issue, we aim to represent the vibrant state of protein structure studies at the end of 2021. Recent decades have brought significant changes to the protein structure research field. Thanks to the genome projects and advances in structure determination methods, the number of solved protein structures has increased significantly. Protein structure research is experiencing a new renaissance, and in 2020 the number of deposited structures in the PDB database reached a new record. An assortment of many new frontiers are presented in this collection. A single Special Issue cannot give a comprehensive overview of a large field such as proteins science, but we aim to give a broad overview of current research.
    Keywords: configurational entropy ; force fields ; intrinsically disordered proteins ; protein folding ; NMR ; high hydrostatic pressure ; thermodynamic stability ; α-helical bundle ; Li-Fraumeni syndrome ; hereditary breast cancer ; germline TP53 missense variants ; quantitative prediction model ; protein conformation ; protein–protein interactions ; protein–protein binding ; protein–protein complex ; coarse-grained modeling ; multiscale modeling ; UFM1 ; UBA5 ; UFC1 ; protein-protein interactions ; complex structure ; oxidative stress ; Nrf2 ; Keap1 ; nuclear magnetic resonance spectroscopy ; hydrogen/deuterium exchange ; mass spectrometry ; circular dichroism ; intrinsically disordered ; bifidobacteria ; fucosidases ; glycosyl hydrolases ; conserved domains ; human milk ; analytical ultracentrifugation ; CO2 concentrating mechanism ; diffusion-ordered NMR spectroscopy ; electrospray ionization mass spectrometry ; homotetramer ; manganese ; metalloprotein ; photosynthesis ; small-angle X-ray scattering ; C1q ; calcium binding proteins ; genetic variation ; otoconia ; otolin-1 ; OTOL1 ; site-directed mutagenesis ; thermal shift assay ; B.1.1.7 ; B.1.617.2 ; COVID-19 ; E484Q ; T478K and L452R mutation ; N501Y mutation ; spike protein ; tetrabromobisphenol A ; tetrabromobisphenol S ; erythrocyte membrane ; retardants ; erythrocytes ; protein–ligand interactions ; protein dynamics ; FK506-binding protein ; FKBP12 ; FKBP51 ; oxidative folding ; glutathionylation ; nitrosylation ; cysteine reactivity ; ribosomal exit tunnel ; transient complex ; glutathione ; phosphorylation ; transmembrane proteins ; saturation mutagenesis ; deep sequencing ; residue packing ; deep learning ; convolutional neural network ; bidirectional long-short term memory ; protein ; prediction ; contact ; distance ; alphafold ; ProSPr ; CASP ; dataset ; retrainable ; mutual synergetic folding ; solvent accessibility of peptide bonds ; inter-subunit interaction ; solvent-accessible surface area ; Shannon information entropy ; amino acid composition ; glucose ; GlcNAc ; galactose ; GalNAc ; mannose ; xylose ; fucose ; Neu5Ac ; glucuronate ; iduronate ; tetrahydropyran ; entropy ; free energy ; free energy landscape ; energy-dependent protein folding ; co-translational protein folding ; molecular chaperones ; physical model of protein folding ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This Special Issue is dedicated to Professor Reinhard Schlickeiser on the occasion of his 70th birthday. Reinhard Schlickeiser’s internationally well-recognized work, comprising several hundred research articles and the comprehensive monograph “Cosmic Ray Astrophysics,” has had a lasting influence in several areas of astrophysics. He has also inspired a large number of junior researchers, many of whom are now pursuing successful academic careers. Over the last few decades, he has motivated and established many fruitful collaborations that have triggered new ideas and provided new insights into various plasma and astrophysical topics. This Special Issue aims to present original papers by Reinhard Schlickeiser’s collaborators that document the breadth of his scientific accomplishments and the subsequent studies that he has directly or indirectly influenced as a collaborator or as a teacher. This Special Issue may serve as inspiration for others to follow in his path and to accept the challenges awaiting them in the many areas of astrophysics that have been, for many years, Reinhard’s turf.
    Keywords: Langmuir waves ; Landau damping ; particle wave interactions ; space physics ; plasma physics ; n/a ; nucleus-acoustic waves ; nonlinear waves ; nonplanar geometries ; non-thermal radiation mechanisms ; relativistic jets ; relativistic processes ; BL Lacertae objects ; active galaxies ; blazars ; diffusive shock acceleration ; radiative transport ; gamma-rays ; solar wind ; plasmas ; instabilities ; waves ; cosmic rays ; galactic anti-matter ; solar modulation ; solar cycle ; dissipative solitary waves ; magnetized plasma ; superthermal trapped electrons ; kappa distribution ; Schamel equation ; oblique propagation of electrostatic plasma waves ; suprathermals ; cosmic-ray transport ; turbulence ; plasma waves ; particle-in-cell simulations ; automated driving ; data-driven modeling ; deep learning ; scene prediction ; trajectory prediction ; Alfvén waves ; wave–wave interactions ; magnetic loops ; solar corona ; particle transport ; numerical methods ; modelling ; cosmic-ray diffusion ; active galactic nuclei (AGN) ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Cybersecurity models include provisions for legitimate user and agent authentication, as well as algorithms for detecting external threats, such as intruders and malicious software. In particular, we can define a continuum of cybersecurity measures ranging from user identification to risk-based and multilevel authentication, complex application and network monitoring, and anomaly detection. We refer to this as the “anomaly detection continuum”. Machine learning and other artificial intelligence technologies can provide powerful tools for addressing such issues, but the robustness of the obtained models is often ignored or underestimated. On the one hand, AI-based algorithms can be replicated by malicious opponents, and attacks can be devised so that they will not be detected (evasion attacks). On the other hand, data and system contexts can be modified by attackers to influence the countermeasures obtained from machine learning and render them ineffective (active data poisoning). This Special Issue presents ten papers that can be grouped under five main topics: (1) Cyber–Physical Systems (CPSs), (2) Intrusion Detection, (3) Malware Analysis, (4) Access Control, and (5) Threat intelligence.AI is increasingly being used in cybersecurity, with three main directions of current research: (1) new areas of cybersecurity are being addressed, such as CPS security and threat intelligence; (2) more stable and consistent results are being presented, sometimes with surprising accuracy and effectiveness; and (3) the presence of an AI-aware adversary is recognized and analyzed, producing more robust solutions.
    Keywords: Internet of Things ; cybersecurity ; cyber threats ; malware detection ; machine learning ; network traffic ; cooperative intelligent transportation systems (cITSs) ; IDS ; vehicular ad-hoc networks (VANET) ; adaptive model ; deep belief network (DBN) ; NIDS ; deep learning ; false negative rate ; artificial neural network ; MITRE ATT&CK Matrix ; techniques classification ; BERT-based multi-labeling ; formal ontology ; risk identification ; vulnerability ; portable executable malware ; tree-based ensemble ; performance comparison ; statistical significance test ; adversarial examples ; face recognition ; mask matrix ; targeted attack ; non-targeted attack ; anomaly detection ; attack detection ; cyber-physical system ; datasets ; evaluation metrics ; biometric cryptosystem ; iris identification ; error-correcting codes ; intrusion detection ; smart grid ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: Comprehensive understanding of surface water and groundwater interaction is essential for effective water resources management. Groundwater and surface water are closely connected components that constantly interact with each other within the Earth’s hydrologic cycle. Many studies utilized observations to explain the surface water and groundwater interactions by carefully analyzing the behavior of surface water features (streams, lakes, reservoirs, wetlands, and estuaries) and the related aquifer environments. However, unlike visible surface water, groundwater, an invisible water resource, is not easy to measure or quantify directly. Nevertheless, demand for groundwater that is highly resilient to climate change is growing rapidly. Furthermore, groundwater is the prime source for drinking water supply and irrigation, and hence critical to global food security. Groundwater needs to be managed wisely, protected, and especially sustainably used. However, this task has become a challenge to many hydrologic systems in arid to even humid regions because of added stress caused by changing environment, climate, land use, population growth, etc. In this issue, the editors present contributions on various research areas such as the integrated surface water and groundwater analysis, sustainable management of groundwater, and the interaction between surface water and groundwater. Methodologies, strategies, case studies as well as quantitative techniques for dealing with combined surface water and groundwater management are of interest for this issue.
    Keywords: groundwater-surface water interaction ; analytical ; numerical ; FEMME ; STRIVE ; MODFLOW ; Long Short-Term Memory ; groundwater level prediction ; groundwater withdrawal impact ; groundwater level variation ; machine learning ; integrated surface water and groundwater analysis ; climate change ; hydraulic fracturing ; construction of well pads ; MIKE-SHE ; MIKE-11 ; northwestern Alberta ; SWAT+ ; groundwater ; modeling ; groundwater–surface water interactions ; rainwater harvesting ; climate variability ; small island developing states ; improved water governance ; national sustainable development plans ; SDG6 ; community participation ; drinking water supply ; water supply scheme ; surface water/groundwater interactions ; managed aquifer recharge ; induced riverbank filtration ; groundwater resource management ; water curtain cultivation ; surface–groundwater interaction ; water budget analysis ; Nera River ; carbonate aquifer ; recession curves ; seismic sequence ; permafrost hydrology ; Russian Arctic ; water tracks ; hydrological connectivity ; stable water isotopes ; dissolved organic carbon ; electrical resistivity tomography ; taliks ; flood ; surface and groundwater interactions ; HEIFLOW ; Managed Aquifer Recharge ; groundwater tracer ; heat transport ; surface–ground-water interactions ; infiltration basin ; groundwater hydrology ; young water fraction ; global meteoric water line ; northern Italian Apennines ; stakeholder participation ; surface water-groundwater interaction ; scenario modelling ; integrated water management ; agent-based modelling ; SimCopiapo ; water balance ; water table fluctuation method ; irrigated pastures ; deep percolation ; aquifer recharge ; clay soils ; flood irrigation ; water management ; surface water ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint, entitled “Process Control and Smart Manufacturing for Industry 4.0”, contains the extended papers from the Series of annual IFSA conferences on Automation, Robotics and Communications for Industry 4.0/5.0 (ARCI) on the following topics: Process Automation, Process Control and Monitoring, Design Principles in Industry 4.0, Smart Manufacturing and Technologies, Smart Factories, Machine Learning and Artificial Intelligence in Manufacturing. The reprint contains 13 chapters written by 54 ARCI conference participants from seven countries: China, Croatia, Denmark, Germany, Italy, Poland and Romania. This reprint will inform readers of cutting-edge developments in the field and provide effective starting points and a road map for further research and development. All chapters follow the same structure: firstly, an introduction to the specific topic under study; secondly, a description of the field, including sensing or/and measuring applications. Each chapter ends with a curated list of references, including books, journals, conference proceedings and websites. “Process Control and Smart Manufacturing for Industry 4.0” is intended for researchers and scientists from academia and industry, as well as for postgraduate students.
    Keywords: steel alloys ; resistance spot welding ; RSW ; electrode wear ; electrode tip-dressing ; process monitoring ; mushrooming ; plateau forming ; quality control ; COVID-19 ; FDM ; 3D printing ; injection molding ; personal protection ; rapid prototyping ; protective face shields ; mechatronics line ; visual servoing system ; wheeled mobile robot ; industrial robotic manipulator ; Industry 4.0 ; NDT ; magnetic particle inspection ; optimization ; condition monitoring ; vibration ; acoustic emission ; drive train ; data fusion ; machine learning ; product morphology ; core data model ; phase rule filter ; phase private data model ; storage system ; forklift AGV ; deep learning ; semantic segmentation ; H-Swish ; community transformation ; community innovation governance ; ternary space ; coupling and coordination analysis ; lean manufacturing ; lean principles ; pull principle ; production control mechanisms ; production processes ; lean implementation ; batch process ; partial least squares ; multi-phase ; multi-mode ; master production scheduling ; make-to-order ; mathematical programming ; agent-based ; overtime ; earliness ; tardiness ; equipment selection decision ; business compass ; energy consumption ; processing time ; beetle antennae search algorithm ; sustainable blank dimension design ; energy-saving ; low-carbon ; grey wolf algorithm ; gas–solid ; cyclone ; separator ; gas dynamics ; erosion ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: Achieving success along the entire production and supply chain of a dairy sector depends explicitly on adopting a sustainable 'state of the art' approach. In this regard, understanding key sustainability indicators and challenges with a holistic approach is vital. Appropriate design, application of novel technologies, implementation of life cycle analysis, upgradation and optimization of the entire production line are some of the key factors to be measured. In addition, it is vital that due consideration is given to demands of the producers, consumers, and dependent industries. Nevertheless, concern for the environment, social security and economy of the region should not be ignored. Precise planning ('on-farm' and 'off-farm') assumes importance especially when circular economy strategies needs to be considered. With these as background, this book is focused towards identifying present opportunities and overcoming future sustainability challenges in the global dairy sector.
    Keywords: dairy ; water ; review ; modelling ; water footprint ; agriculture ; feed additive ; methane mitigation ; enteric emissions ; greenhouse gas ; climate change ; LCA ; environmental impacts ; intensification ; technical efficiency ; four-component model ; endogeneity ; input distance function ; meta-frontier ; stochastic frontier analysis ; dairy processing industry ; European Union ; proanthocyanidins ; condensed tannins ; secondary plant metabolites ; methane ; ruminants ; farm ; organization ; governance ; adoption ; agroecology ; practices ; regulation ; Brazil ; ammonia emissions ; dairy cow ; flushing ; freestall barn ; scraping ; heat pump ; dairy farming ; water heater ; ASHP ; ASHPWH ; usable water ; emissions ; sustainability ; farm type ; sustainable management ; small-/medium-scale animal farms ; food science ; customer experience design ; food well-being ; food psychology ; hedonia ; eudaimonia ; meaningful consumption ; artisan products ; local food ; profit cows ; economic sustainability ; knowledge transfer ; production disease ; production disease economics ; emission factor ; enteric fermentation ; gross energy ; milking cows ; dairy industry ; supply chain management ; safety failure factors ; interpretive structural modeling ; MICMAC analysis ; agro-livestock sector ; GHG emissions ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: This Special Issue is intended to lay the foundation of AI applications focusing on oral health, including general dentistry, periodontology, implantology, oral surgery, oral radiology, orthodontics, and prosthodontics, among others.
    Keywords: machine learning ; artificial intelligence ; malocclusion ; diagnostic imaging ; active learning ; maxillary sinusitis ; convolutional neural network ; deep learning ; segmentation ; oral microbiota ; LEfSe ; PCoA ; alloprevotella ; prevotella ; core microbiota ; artificial neural networks ; oral cancer diagnosis ; oral cancer prediction ; pit and fissure sealants ; caries assessment ; visual examination ; clinical evaluation ; convolutional neural networks ; transfer learning ; deep learning network ; YOLOv4 ; mandibular third molar ; inferior alveolar nerve ; contact relationship ; panoramic radiograph ; deep learning methods ; caries diagnosis ; dental panoramic images ; radiography ; Fourier transform infrared spectroscopy ; FTIR imaging ; spectral biomarker ; multivariate analysis ; discriminant model ; oral squamous cell carcinoma ; oral epithelial dysplasia ; oral potentially malignant disorder ; risk stratification ; early oral cancer detection ; dentigerous cysts ; histopathology images ; image classification ; odontogenic keratocysts ; radicular cysts ; AI ; screening ; diagnosis ; dentistry ; ultrasonography ; tongue ; algorithm ; dysphagia ; impacted ; tooth ; detection ; neural networks ; proximal caries ; training strategy ; small dataset ; periapical radiograph ; X-ray ; tooth extraction ; oroantral fistula ; operative planning ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Plants under natural conditions often face multiple stresses, including drought, salinity, temperature extremes, submergence stress, bacteria, viruses, fungi, insects, etc. These biotic and abiotic stresses negatively influence plant growth and productivity. Various approaches have recently been used to overcome stresses in plants. It is necessary to evaluate and explore how diverse molecular techniques can be applied to different biological studies to improve biotic and abiotic stress tolerance in plants. This will help reduce production losses and increase crop tolerance to various stresses. It is now the time to make a difference by developing plants that can withstand biotic and abiotic stresses.
    Keywords: antioxidants ; drought ; oxidative stress ; pearl millet ; redox implications ; ROS ; chlorophyll fluorescence efficiency ; photosynthetic responses ; enzyme activity ; sugarcane ; smut ; circadian clock ; reactive oxygen species ; Al-induced PCD ; photoperiodism ; peanut ; phylogenetic ; virus-induced gene silencing ; transgenic lines ; physiological and biochemical analysis ; Glycine max L. ; PR proteins ; chitinase ; genome-wide ; plant stresses ; crop residues ; profitability ; soil fertility ; soil biology ; allelopathy ; heat shock protein 20 ; maize ; abiotic stress ; yeast-one-hybrid ; abiotic stresses ; cotton ; hormones ; signaling pathway ; WRKY ; papaya (Carica papaya) ; brassicales ; late embryogenesis abundant protein ; orthogroup ; expression profile ; artificial light ; auxins ; chicory ; callus cells ; inulin ; plant growth regulators ; milk thistle ; secondary metabolites ; ecotypes ; salinity ; growth attributes ; biotic stress ; phenolic compounds ; seaweed ; Dendrobium catenatum ; lipase ; multi-omics ; expression pattern ; gene family ; bio-fertilizer ; ionic homeostasis ; organic amendments ; vermicompost ; cold stress ; PKS5 ; stomatal aperture ; microbiota ; natural farming ; physical factors ; physiological changes ; signal transduction and stressed conditions ; Rhizobium leguminosarum ; PGPR ; Triticum aestivum L. ; cadmium stress ; tolerance ; ascorbate ; glutathione ; malondialdehyde ; chlorophylls ; disease gradient ; disease outbreak ; Puccinia ; wheat stripe rust ; plant epidemic ; dispersal ecology ; alternative plant vitrification solution ; ammonium-free medium ; cytotoxicity ; droplet-vitrification ; endangered species ; liquid overlay ; regrowth medium ; within-plant phenotypic plasticity ; combined stresses ; additive ; antagonistic and synergic effects ; VOCs ; potassium ; soybean ; water logging ; yield ; non-thermal plasma ; plant defense ; glucosinolates ; nitriles ; RNA sequencing ; Arabidopsis thaliana ; Bt toxins ; Cry1Ah1 transgenic poplar ; ecology ; environment ; rhizosphere ; candidate genes ; drought tolerance ; crop improvement ; climate change ; adaptation ; Chenopodium quinoa Willd. ; genotypes ; Sahara ; Algeria ; chitosan ; pathogen ; sustainable ; plant protection ; tomato ; melatonin ; photosynthesis ; climate changes ; antioxidant system ; Malus seedlings ; NaCl treatments ; membrane damage ; osmotic regulation ; archives ; botanical collection ; Greece ; landscape ; pre-rebellion period ; wheat ; priming ; Aspergillus niger ; qRT-PCR ; wilting ; TLP ; β-1,3-glucanase ; biostimulants ; biofertilizers ; soil microorganisms ; phytostimulator ; jewel sweet potato ; shoot tip ; axillary bud ; different MS salts concentration ; micropropagation ; plant performance ; C4 species ; heterozygosity ; transient soil salinity ; soil layers ; desertification ; arid regoins ; total flavonoid ; phenolics ; antioxidant activity ; centella ; Na+ content ; molecular markers ; MAS ; oilseeds ; SSRs ; molecular breeding ; dehydration-responsive element binding (DREB) transcription factors ; gene expression ; mosses ; stress tolerance ; common centaury ; salinity stress ; antioxidative protection ; sodium nitroprusside ; proteomic analysis ; drought stress ; sorghum ; RNS ; RSS ; signaling ; post-translational modification ; microorganisms ; stressful conditions ; sustainability ; nutrition ; Brassicaceae ; Cicer arietinum L. ; chlorophyll a fluorescence transient ; physiological and biochemical traits ; high temperature ; chocolate spot disease ; Botrytis fabae ; faba bean ; antioxidant enzymes ; protein banding and anatomy ; actinobacteria ; Streptomyces tuirus ; chilli fruit rot ; Colletotrichum scovillei ; Colletotrichum truncatum ; Fusarium oxysporum ; liquid bio-formulation ; corn smut ; fungus infection ; MDA ; proline ; quality ; halophytes ; Tripolium pannonicum ; hydrogen peroxide ; cell wall extensibility ; cell wall polysaccharide ; coleoptile ; growth inhibition ; lead (Pb) ; rice ; Bactrocera oleae ; spinosad ; kaolin ; organic oliviculture ; chlorophyll fluorescence ; leaf gas exchange ; physiological traits ; BAG (Bcl-2-associated anthanogene) family proteins ; molecular chaperone ; metabolomics ; metabolic responses ; metabolites variation ; surveillance ; Candidatus Liberibacter asiaticus ; comprehensive control ; distribution ; screen house ; Copper hyperaccumulation ; stress mitigation ; EDTA and IAA ; sunflower ; Fusarium wilt ; conventional breeding ; molecular makers ; QTLs ; genomics ; transcriptomics ; metabolomics and proteomics ; bread wheat ; AMF ; zinc ; growth parameters ; osmolyte ; osmoprotector ; ionic attributes ; PGPBs ; growth-promoting fungi ; crop productivity ; plant tolerance ; arbuscular mycorrhizal fungi ; aerobic rice ; soil enzymes ; phosphorus utilization ; P-deficient ; plant growth promotion ; chickpea ; selection indices ; drought tolerant genotypes ; abiotic and biotic stress ; CRISPR ; mega nucleases ; TALEN ; ZFN ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This reprint collected a set of papers where our section Editorial Board Members discuss key topics that typify the very best insightful and influential original articles or reviews in the “Communications” field. We expect these papers to be widely read and highly influential within the field.
    Keywords: network security ; double defense ; zero trust ; situation awareness ; immunology ; blind modulation classification ; orthogonal frequency division multiplexing ; higher-order cumulant and cyclic cumulant ; maximum-likelihood ; maximum a posteriori ; deep learning ; convolutional neural networks ; probability of correct classification ; testbed implementation ; drone ; UAV ; RF methods ; software-defined radio ; detection system ; defense system ; TSN ; Industry 4.0 ; smart distributed measurement systems ; IIoT ; IoT ; Ethernet ; Wi-Fi ; bit error rate ; fading channels ; Internet of things ; LoRa ; performance evaluation ; Named Data Networking ; information centric networking ; caching ; edge networks ; 6G ; IEEE 802.11be ; multilink operation ; channel access ; backoff ; coexistence ; Bluetooth ; wireless passive human sensing ; wireless sensor networks ; cyber-attacks ; intrusion-detection system ; MCDM ; q-rung orthopair fuzzy sets ; q-ROFWG ; 5G ; 5G-AKA ; authentication ; blockchain ; BAN logic ; Scyther ; radio channel ; path loss ; signal strength ; receivers ; transmitters ; wireless communication ; computational modeling ; path planning ; electromagnetic propagation ; loss measurement ; propagation loss ; reconfigurable antenna ; metasurface ; varactor diode ; beam-scanning ; high gain ; actor–critic learning ; energy-efficiency ; O-RAN ; RAN optimization ; low power wide-area networks ; large-scale LoRa networks ; single-channel LoRa gateways ; multi-objective ; quantum computing ; quantum optimization algorithms ; quantum routing optimization ; 6G communication networks ; SNR estimation ; optical wireless communications ; intensity modulation ; digital signature ; elliptic curve cryptography ; key exchange ; platoons ; Sybil attack ; 3D indoor localization ; location-based services ; Internet of Things ; computer vision ; biomedical imaging ; biometrics ; remote sensing ; cybersecurity ; natural language processing ; audio and speech processing ; control system and robotics ; information system ; food ; agriculture ; chemistry ; characteristic mode ; parasitic loading ; slit loading ; low-profile ; wearable antenna ; platoon ; traffic congestion ; collision avoidance ; CACC ; merge maneuver ; join maneuver ; lane change ; clustering ; information element ; MAC de-randomization ; OPTICS ; probe request ; WiFi-enabled device detection ; wireless sensing device ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint focuses on fish otoliths, as one of the most useful and important biological structures for fishery scientists and managers around the world. Collected papers cover several different research areas, from the otolith macro- to the microstructure and microchemistry, analyzing different types of otoliths and investigating various freshwater and marine species in their larval, juvenile and adult stages. Special attention is given to different approaches in otolith research and to many practical applications of such studies. The obtained data served to determine the age and growth of individual fish; to study habitat interactions, migration patterns, or habitats that the fish live in; to detect water temperatures or the presence of certain pollutants in the environment; and to reveal all other vital information about the life history of the fish.
    Keywords: sagittal otolith ; somatic growth ; long-lived fishes ; ontogeny ; teleost anatomy ; development ; fish morphology ; Fourier ; marking ; alizarin complexone ; hard tissue ; fin ray ; otolith ; scale ; silver carp (Hypophthalmichthys molitrix) ; age ; growth ; otoliths ; morphometry ; Sphyraena sphyraena ; fish age determination ; Greenland halibut ; deep learning ; dataset shift ; domain adaptation ; red snapper ; wavelet ; genetic diversity ; population structure ; asteriscus ; side effect ; otolith shape ; geographical effect ; temperature effect ; pH ; brook trout ; fish kill ; anadromy ; otolith microchemistry ; crucian carp ; strontium ; marking efficiency ; restocking ; time delay ; fish otoliths ; CNN ; age determination ; web tool ; Kokanee ; homing ; stocking ; Anguilla anguilla ; fish biology ; ecosystem variability ; minho river ; stock assessment ; Coilia nasus ; river estuary ; Yellow Sea ; elemental signature ; stable isotopic signature ; stock spatial structure ; atherinids ; trade-off ; daily growth ; spawning ; European hake ; length–frequency distribution ; sex-ratio ; hydro-morpho-sedimentary characteristics ; marginal increment analysis ; band deposition ; Thunnus thynnus ; growth curves ; edge analysis ; growth performance index ; quartile of marginal growth band method ; k-fold cross-validation ; back-calculation ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: The correct management of territory and its planning based on scientific criteria in the face of the anthropogenic impacts of human activities is one of the main challenges in the 21st century. This publication includes some of the latest advancements in environmental planning and spatial analysis related to the ecological management of territory from a multidisciplinary perspective. The research papers from different researchers, scholars and experts in this field included in this collection were published by the International Journal of Environmental Research and Public Health after undergoing a rigorous anonymous peer review process.
    Keywords: shrinking cities ; environmental planning ; territorial sustainability ; analytic hierarchy process ; decision-support systems ; ecological restoration ; dissipative structure ; entropy change ; urbanization ; water resource security ; improved coupling coordination model ; obstacle degree model ; Beijing ; ecological footprint ; ecological capacity ; ecological security ; STIRPAT model ; Hulunbeir grassland ; 2030 Agenda ; strategic planning ; quality criteria ; tailing bricks ; copper mine tailings ; mine tailing stabilization ; mining environmental liabilities ; natural green space accessibility ; public green space ; ANGSt method ; spatial policy ; agriculture green technology diffusion ; stakeholders ; social network analysis ; barriers ; ecological security pattern ; SLEUTH model ; urban growth simulation ; climate change ; environmental impact ; willingness to pay ; virtual reality ; economic complexity indicator (ECI) ; energy consumption ; sustainable environment ; Lancang-Mekong Cooperation (LMC) ; Panel Vector Autoregression (PVAR) ; ammonium ; nitrate ; migration of nitrogen forms ; fertilization ; land ; natural capital utilization ; economic growth ; decoupling analysis ; decomposition ; student campus ; post-COVID-19 higher education ; socio-ecological system ; environmental policy ; green university ; environment-related routine ; water consumption ; plastic consumption ; paper consumption ; population–resource management framework ; vulnerability assessment ; two-stage dynamic fuzzy programming with Hurwicz criterion ; policy scenario analysis ; SUMP ; urban mobility ; city planning ; hybrid methodology ; multi-criteria decision making (MCDM) methods ; SIMUS ; weighted sum method (WSM) ; environmental uncertainty ; information transparency ; enterprise technology innovation ; government subsidies ; accessibility ; environmental equity ; legislation ; people with disabilities ; public use ; good governance ; intersectionality ; stewardship ; population ; monitoring ; coastal erosion ; integrated coastal zone management ; Unmanned Aerial Vehicles (UAVs) ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Drought and Groundwater Development is an important reference work in the field of groundwater science. Covering various topics related to groundwater contamination and aquifer management, this reprint makes an important contribution to the field of hydrogeology and hydrology by providing up-to-date, comprehensive, and holistic information on groundwater management during droughts. Key features:- Presents global case studies that show readers how this problem affects sites around the world.- Includes a remediation plan, problem-solving, groundwater management, water treatment techniques, and management of available groundwater resources.- Provides advanced techniques that can be applied as a methodology for solving.
    Keywords: aquifer recharge ; groundwater resources ; GIS and remote sensing ; GIS-based AHP ; groundwater potential mapping ; proxy data sources ; artificial recharge ; groundwater ; numerical model ; drought ; water shortage ; riverbank filtration ; dissolved organic matter ; Nakdong river ; trace organic contaminants ; water intake ; detailed numerical modeling ; performance evaluation ; operation scenario ; climate change ; climatic break ; western Africa ; groundwater recharge ; Gilgel Gibe watershed ; LULC ; Soil and Water Assessment Tool (SWAT) ; SWAT-CUP ; surface runoff ; conjunctive use ; sand dam ; groundwater well ; water budget analysis ; runoff estimation ; water balance model ; Kajiyama formula ; water supply ; MODFLOW ; reliability ; Korea ; groundwater vulnerability ; GOD Index ; GIS ; EC and NO3− parameters ; net groundwater recharge rate ; water budget ; simple climate change scenario ; Nakdong river watershed ; precipitation ; remote sensing ; thematic layers ; AHP ; weighted overlay ; groundwater potential zone ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, robots, and smart machinery for precision agriculture. The expansion of cloud technologies, artificial intelligence (AI), machine learning (ML), deep learning (DL), and big data collection are setting the stage for Agriculture 5.0. Agriculture science and natural sciences are further promoting this trend with the development of leading-edge scientific models and platforms, including stochastic, process-based, and data-driven machine learning modeling. This Special Issue covers the most recent and up-to-date progress in all aspects of internet and computer software applications in agriculture, focusing on the development of web applications and mobile apps, smart IoT devices and platforms, AI, ML and DL solutions in precision agriculture for detection, recognition, classification, monitoring, cultivation, harvesting, and marketing; development of cloud technologies for smart agriculture; computer and machine vision methods and applications for drones and smart machinery, and sensors for field operations; diagnostics and data collection; big data science; scientific process-based and stochastic modeling; and machine learning modeling for agriculture, agroecosystems and natural ecosystems. The research in this Special Issue will contribute to the promotion of modern agriculture practices in the current climate and in the future.
    Keywords: grape varieties identification ; Support Vector Machine (SVM) ; Convolutional Neural Network (CNN) ; deep feature fusion ; Canonical Correlation Analysis (CCA) ; smart machinery ; digital agriculture ; Chinese agricultural diseases and pests ; named entity recognition ; adversarial training ; semantic enhancement ; technology innovation ; food processing ; transition pathways ; sustainable food systems ; transformation ; smart farming ; IoT ; WSN ; containerization ; multi-agent ; neural network ; LSTM ; leisure agricultural park ; traveler group ; COVID-19 pandemic ; fuzzy collaborative intelligence ; machine vision ; maize seeds ; classification ; deep learning ; convolutional neural network ; decision support systems ; agricultural water management ; water security ; data-driven modeling ; conceptual resilience model ; input uncertainty ; climate extreme ; process-based modeling ; vehicle routing problem ; fresh agricultural products ; split delivery ; NSGA-II algorithm ; farm management information system ; farmers’ information needs assessment ; soft system methodology ; smallholder farmers ; conceptual model ; Indonesian chili farmers ; residual block ; attention mechanism ; grape leaf disease ; aquatic products price forecast ; VMD ; IBES ; hybrid model ; precision agriculture ; sensor network ; semi-literate farmers ; interactive interface ; User Interface (UI) ; Android apps ; machine learning ; regression algorithms ; web application ; early prediction of crop yield ; grape detection ; self-attention ; buffalo breeds ; Neural Networks ; Self Activated CNN ; DeepLabv3+ ; semantic segmentation ; picking point identification ; e-commerce interest linkage ; participation willingness and behaviors ; government policies ; farmers’ cognition ; evolutionary game model ; structural equation model ; object detection ; YOLOv7 ; hemp duck count ; smart agriculture ; LoRaWAN ; water status ; supply chain ; horticulture ; logistics ; operations ; planning framework ; decision support ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: In total, this Special Issue includes 11 papers. Firstly, Qi et al. conducted research on the large-scale non-uniform parallel solution of the two-dimensional Saint-Venant equations for flood behavior modeling. Zhang et al. proposed an efficient deep learning-based mineral identification method. Subsequently, Huang et al. proposed a named entity recognition method for geological news based on BERT model. Yang et al. proposed an automatic landslide identification method to solve the problem of the time-consuming nature and low efficiency of traditional landslide identification methods. Du et al. analyzed the potential of unsupervised machine learning methods for submarine landslide prediction. Wang et al. performed parallel computations on the inversion algorithm of the two-dimensional ZTEM. Xu et al. used the sliding window method and gray relational analysis to extract features from multi-source real-time monitoring data of landslides. Furthermore, Cao et al. proposed a new method called dual encoder transform (DualET) for the short-term prediction of photovoltaic power. Hao et al. conducted a series of parallel optimizations and large-scale parallel simulations on the high-resolution ocean model. Wang et al. proposed a time series prediction model for landslide displacements using mean-based low-rank autoregressive tensor completion. Finally, Yang et al. developed a measure of site-level gross primary productivity (GPP) using the GeoMAN model.
    Keywords: Saint-Venant equations ; finite difference method ; parallel computing ; heterogeneous computing ; deep learning ; image enhancement ; mineral identification ; convolutional neural networks ; BERT ; named entity recognition ; geological news ; CRF ; semantic segmentation ; PSPNet ; landslide ; submarine landslide ; machine learning ; hazard susceptibility ; spatial distribution ; ZTEM ; 2D forward modeling ; inversion ; parallel algorithm ; tipper ; disaster precursor identification ; early warning ; association rule mining ; particle swarm optimization ; k-means clustering ; Apriori algorithm ; gray relation analysis ; transformer ; photovoltaic power forecasting ; satellite images ; LICOM ; meteorological model ; parallel optimization ; time series ; missing data ; tensor completion ; autoregressive norm ; displacement prediction ; GeoMAN model ; gross primary productivity ; attention mechanism ; interdisciplinary ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: Antibiotic resistance represents one of the most important challenges in the world and involves humans, animals and the environment.For this reason, it is increasingly important to focus our attention on the present scenarios and the future prospects relating to this problem. The One Health approach helps us and can provide the tools to consider the problem from different points of view, also providing alternative solutions to the use of the antibiotic itself.
    Keywords: Enterococcus ; vancomycin resistance ; systematic review ; meta-analysis ; Nigeria ; climate change ; One Health ; Candida auris ; COVID 19 ; emerging pathogens ; antimicrobial resistance ; Staphylococcus aureus ; rabbits ; pathotype ; antibiotic resistance profiles ; spa type ; Italy ; Escherichia coli ; AmpC β-lactamases ; CMY-2 type ; ISEcp1 ; chickens ; wild birds ; livestock ; Greece ; one health ; antibiotic resistance ; human ; animal ; environment ; text data mining ; natural language processing ; common language ; AMR ; AR ; antimicrobial use ; COVID-19 ; SARS-CoV-2 ; farm animals ; blaCTX-M ; Chile ; domestic animals ; E. coli ; extended-spectrum beta-lactamases ; wildlife ; Salmonella enterica ; pigs ; Suriname ; whole genome sequencing ; awareness ; antimicrobial stewardship ; layer poultry farms ; surveillance ; Middle East ; One Heath ; foodborne pathogens ; Campylobacter spp. ; Salmonella spp. ; strategic action plan on antibiotic resistance ; Swedish stakeholder perceptions ; qualitative study ; Enteritidis ; multidrug-resistant ; Derby ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSG Microbiology (non-medical)
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-08-08
    Description: Weeds are the most important biological factor that affects yield in herbaceous and perennial crops. Nowadays, following the recommendations of government institutions and public opinion, there is an urgent need to search for sustainable weed management practices that have a low impact on the environment and on the health of living organisms. This reprint, established after closing the Special Issue “Sustainable Weed Management” edited by Dr. Alessia Restuccia and Dr. Aurelio Scavo, is a collection of papers (17 research articles and 1 review) related to the recent advancements in sustainable weed control methods and to the biotic and abiotic factors affecting weed adaptation.
    Keywords: cover crop ; weed management ; seed bank ; weed associations ; species richness ; multivariate analysis ; sustainability ; crop competition ; cultural management ; rainfall ; rain-fed agriculture ; seed production ; weed suppression ; weed density ; alternative weed management ; buffalobur ; crop and herbicide rotation ; herbicide efficacy ; surfactant ; terpenes ; mechanism of action ; germination inhibitors ; crops ; allelopathy ; phytochemicals ; P. hysterophorus ; germination ; growth ; herbicide resistance ; resistance mechanisms ; NTSR mechanisms ; TSR mechanisms ; metabolism ; organic ; no-till ; agroecology ; competition ; dispersal ; landscape ; oilseed rape ; sustainable weed management ; growth curve ; plant traits ; elevation gradient ; climate change ; invasive plant species ; Ophraella communa ; invasive species management ; contact herbicide ; pelargonic acid ; esterified seed oil ; foliar penetration ; adjuvant ; tank-mix partner ; non-chemical weed management ; rare weeds ; weed control ; winter wheat ; Chinese elm ; woody weed ; chemical control ; stem implantation ; Olea europaea L. ; Mediterranean basin ; agroecological practices ; minimum tillage ; zero tillage ; pollinating and predatory insects ; agroforestry ; intercropping ; consociation ; weeds ; barley ; false seedbed ; cropping system ; bioherbicides ; compost processing ; coniferous volatiles ; Pinus densiflora ; Pinus koraiensis ; thermal resistance ; durum wheat ; seed germination ; polyphenols ; flavonoids ; Portulaca oleracea ; Stellaria media ; rice ; cultural methods ; herbicides ; impacts ; soil microorganisms ; soil enzymes ; Triticum durum ; soil seedbank ; species diversity ; weed communities ; old landraces ; multivariate statistics ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PST Botany & plant sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Global climate changes, particularly extreme events, affect terrestrial carbon, water, and energy exchanges between the atmosphere, biosphere, and lithosphere, thus controlling freshwater availability, floods, and droughts. Therefore, it is urgent and necessary to develop advanced climate simulation and observation approaches and models related to extreme climate events. Advanced climate simulation and observation can improve the accurate prediction of climate change and long-term trends, which can mitigate climate events' impacts on human society. Under these conditions, this reprint aims to introduce advanced climate simulation and observation approaches to various practical studies related to climate variations, including the global climate models (GCMs) and regional climate models (RCMs), mitigation studies of high-impact climate events, predictions of climate variations, and some new artificial intelligence. Twenty-two papers have been collected in this reprint, with eight original research articles reporting on climate change and six papers reporting on climate change's impact on society and the economy. Meanwhile, three papers reported climate change's impact on agriculture, and climate change's impact on human health was studied in five articles.
    Keywords: hydrological modeling ; gridded datasets ; sensitivity analysis ; water balance ; snowmelt ; SWAT ; Upper Vakhsh River Basin ; economic loss prediction ; machine learning ; input-output model ; flooding ; regional climate model ; RegCM4.5 ; western Tianshan Mountains ; parameterization scheme ; air quality satisfaction ; quality of life ; binomial logistic regression ; health utility value ; experienced utility ; elevated [CO2] ; warming ; SPAD ; leaf nitrogen monitoring ; nitrogen management ; Issyk-Kul ; accumulated temperature ; yield per unit area of beans ; climate change ; panel spatial error model ; air pollution ; respiratory disease ; generalized additive model ; scenario analysis ; assessment of economic losses ; arid climate ; geothermal energy ; underground temperature ; greenhouse ; heat exchanger ; agricultural air pollution ; labor migration ; mediation effect ; income effect ; economy of scale ; collective effect ; haze pollution ; scale effect ; special spillover effect ; urban population agglomeration ; AQI ; visual analysis ; heat map ; ARIMA model ; neural network model ; pulmonary tuberculosis ; penalized distributed lag non-linear model ; meteorological factors ; apparent temperature ; cumulative risk ; HDI ; decoupling index ; carbon emission performance ; LMDI ; 10 m wind speed ; cumulus parameterization schemes ; sensitivity of physical processes ; WRF ; mainland China ; environmental regulation ; green innovation efficiency ; SBM of super-efficiency ; system GMM estimation ; model evaluation ; rainfall simulation ; interannual variation ; IAP-AGCM ; Thailand ; China ; environmental Kuznets curve ; geographically weighted regression ; haze ; spatial heterogeneity ; air pollutants ; sustained exposure to pollution ; respiratory and cardiovascular diseases ; CiteSpace ; co-occurrence keywords ; burst words ; mountain-type zoonotic visceral leishmaniasis ; climate variables ; environmental variables ; ecological niche model ; transmission risk prediction ; drought ; cropland ; CMIP6 ; exposure ; scPDSI ; weather radar nowcasting ; generative adversarial network (GAN) ; Temporal and Spatial GAN (TSGAN) ; heavy precipitation ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The bioeconomy—using renewable bio-resources from the soil and sea to produce food, materials and energy—supports the achievement of sustainable development goals. Its scope is very broad as it involves primary production sectors (agriculture) and sectors that use these resources (manufacture of food, beverages and tobacco). This Special Issue, “Prospects and Challenges of Bioeconomy Sustainability Assessment”, includes an Editorial, thirteen articles, ten reviews and one perspective with international authors. All papers are highly innovative and support the goals of a sustainable world.
    Keywords: AHP ; bioeconomy ; biomethane ; energy community ; Italy ; point scale ; stakeholders’ engagement ; sustainability ; agrarian extractivism ; cheap food ; food regime ; Latin America ; social-ecological transformation ; soy ; environmental awareness ; behavior change ; SWOT analysis ; qualitative analysis ; education for sustainable development ; green movement ; environmentalism ; environmental science ; environmental education ; communication ; stakeholders ; reporting ; bibliometric review ; sustainability reporting ; sustainability performance ; indicators ; multi-criteria decision analysis ; policy implications ; Sustainable Development Goals ; carbon capture and storage ; aqueous bases ; reactor design ; chemical absorption ; FTIR ; absorption capacity ; in-line measurements ; 3D-printed reactors ; digital innovation hub ; value proposition canvas ; ecosystem sustainability ; digital transformation ; model-based design ; cyber-physical system ; collaboration platform ; microbial bioremediation ; cost of bioremediation ; bioremediation industry ; COD solubilization ; chemo sonic pretreatment ; biohydrogen ; specific energy ; biomass ; biotechnology ; agro-ecology ; territorial development ; cluster analysis ; bioplastic ; lactic acid ; PLA ; poly(lactic acid) ; cellulose ; lignocellulose ; cow manure ; circular economy ; bioeconomy education ; bioeconomy learning ; higher education ; vocational education and training ; n/a ; interval-valued intuitionistic fuzzy sets ; distance measure ; closeness coefficient ; barriers ; MADA ; biofuel sector ; sustainable agriculture ; multi-criteria decision making ; TOPSIS ; social LCA ; life-cycle costing ; bioenergy ; biorefinery ; industry 4.0 ; agri-food supply chain ; agri-food 4.0 supply chain ; agri-food 4.0 ; supply chain 4.0 ; food waste management ; water management ; agriculture 4.0 ; LAC region ; bibliometric analysis ; biofuels ; R software ; sustainable supply chain management ; sustainable development ; social responsibility ; environmental issues ; water quality ; pollutant ; surface water ; monitoring ; Pakistan ; drinking water ; 2030 Agenda ; natural resources ; participation ; microorganisms ; energy ; biocatalysis ; biotransformation ; industrial applications ; circular bioeconomy ; greenhouse gas ; biomass production ; second-generation bio-fuels ; environment ; climate change ; pigs ; soya bean ; grass ; protein ; biogas ; lignin ; straw ; heating ; NaOH ; pretreatment ; sustainalist ; sustainable revolution ; SDG ; quality of life ; sustainalism ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCM Development economics and emerging economies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Modern society faces various global and regional challenges, including climate change and sustainable development. In order to deal with these challenges, society must be managed properly to follow a sustainable and low-carbon pathway. To advance the studies on this topic, 13 articles have been included in a Special Issue of the “International Journal of Environmental Research and Public Health”. This is a reprint of the 13 articles published in the Special Issue. The themes covered by the 13 articles include the driving forces of carbon emissions, the carbon market, implications of regional and global low-carbon pathways, green finance, green growth, and air pollution. Various methods have been used in these studies, such as computable general equilibrium (CGE) models, econometric models, and machine learning methods. Most of the articles provide new insights based on evidence from China while the others focus on several regions and the global economy.
    Keywords: carbon price forecasting ; time-varying ; high-order moment ; NAGARCHSK ; gate recurrent unit network ; G-11 countries ; ageing population ; natural resources ; globalization ; CS-ARDL ; resource curse ; green growth ; import ; export ; panel threshold model ; atmospheric pollution ; debt financing cost ; environmental penalties ; environmental regulatory pressure ; heavily polluting firms ; state-owned firms ; economic contribution ; carbon neutral ; endogenous technological progress ; computable general equilibrium analysis ; economic development ; carbon tax ; carbon trading ; community green interaction ; environmental emotion ; related green purchase behavior ; spillover effect ; social diffusion mechanism ; carbon emissions from energy consumption ; decoupling elasticity ; spatio-temporal characteristics ; improved LMDI model ; k-means clustering ; map visualization ; human capital ; green economy efficiency ; green innovation ; LightGBM machine learning ; industrial upgrading ; carbon emission trading pilot ; carbon intensity ; green technology innovation ; environmental governance level ; green finance ; digital economy ; green total factor productivity ; digitalization ; electricity consumption ; carbon emissions ; manufacturing industries ; net zero ; climate change ; mitigation ; energy model ; integrated assessment ; CGE model ; fossil fuel ; energy transition ; foreign direct investment ; corporate social responsibility ; haze pollution ; threshold effect ; heterogeneity analysis ; fixed-effect model ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQK Pollution control
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This second Special Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensors allowing the gathering of necessary data.
    Keywords: abnormal gait behavior ; OpenPose ; machine learning ; XGBoost ; random forest ; horse locomotion ; training effect ; inertial measurement units ; sports technology ; football ; motion analysis ; IMU ; trajectory reconstruction ; human-computer interactive ; data glove ; virtual hand ; emotion driven ; test ; visual tracking ; Siamese tracker ; tracking drift ; background clutter ; deep learning ; surgical skills assessment ; computer vision ; surgical education ; biomedical engineering ; multi-modal ; human activity recognition ; markerless ; RGB-D ; general movements ; infant movement analysis ; movement disorders ; surface electromyography ; forearm amputee ; hand posture ; visual feedback training ; pattern recognition ; artificial neural network ; hand gesture recognition ; electromyography ; inertial measurement unit ; reinforcement learning ; deep Q-network ; extreme learning machine ; force myography ; grasshopper optimization algorithm ; k-tournament selection ; frequency emphasis ; ensemble learning ; sign language recognition ; gloss prediction ; transformer ; pose-based approach ; pose estimation ; emotion judgment system ; adaptive interactive game ; set of optimal signal features ; sensor ; MARG ; MIMU ; orientation estimation ; sensor fusion algorithm ; dataset ; orientation algorithm benchmarking ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint includes 14 articles in Biomedical Data Science in honor of Professor Philip Bourne. Contributed by world-renowned experts, these articles cover a broad range of topics in machine learning, biophysics, bioinformatics, and systems biology.
    Keywords: structure-based drug discovery ; ligand binding sites ; deep learning ; graph neural network ; CRISPR/Cas9 ; genome editing ; machine learning ; SHAP values ; binding energy ; off-targets ; drug discovery ; retrosynthesis ; reaction template ; recurrent neural network ; and graph neural network ; mutational signatures ; smoking ; lung cancers ; APOBEC ; immune response to smoking ; cell-type composition ; goblet cells ; ciliated cells ; basal cells ; Protein Data Bank ; Open Access ; Worldwide Protein Data Bank ; macromolecular crystallography ; cryogenic electron microscopy ; cryogenic electron tomography ; electron crystallography ; micro-electron diffraction ; nuclear magnetic resonance spectroscopy ; biological macromolecules ; proteins ; nucleic acids ; DNA ; RNA ; carbohydrates ; small-molecule ligands ; social determinants of health ; electronic health records ; real-world evidence ; census tract ; data science ; protein database ; search tool ; prioritization algorithm ; drug repositioning ; quantum machine learning ; quantum metric learning ; kernel method ; kernel classifiers ; structural bioinformatics ; function annotation ; specificity annotation ; MSA ; entropy ; variability ; amino acids ; Philip Bourne ; FAIR ; bioinformatics ; n/a ; protein kinases ; functional families ; KinFams ; KinBase classification ; large language models ; pharmacovigilance ; social media ; drugs of abuse ; DNA sequencing ; read classification ; metagenomics ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Rapid advances in modelling research have created new challenges and opportunities for statisticians. Statistical inference in observational studies and many other emerging fields have motivated statisticians worldwide to develop cutting-edge methods and analytical strategies. The aim of this reprint is to showcase the applications and methodological research in all fields of computational statistics. This reprint will provide a forum for computer scientists, mathematicians, and statisticians working in a variety of areas in statistics, including biometrics, econometrics, data analysis, graphics, and simulation.
    Keywords: descriptive statistics ; inferential statistics ; species abundance data plots ; abundance models ; species richness indices ; diversity measures ; sampling ; community comparisons ; diversity in space (time) ; extreme value modeling ; epidemiology ; adaptive sampling ; trend analysis ; ecological modeling ; detection limit ; Pseudo Lindley distribution ; survival discretization method ; over dispersion ; moments ; simulation ; maximum likelihood estimation ; goodness-of-fit ; trigonometric distributions ; modified Lindley distribution ; engineering data ; climate data ; statistical analysis ; Burr III distribution ; stochastic ordering ; middle-censoring ; order statistics ; Teissier distribution ; unit Teissier distribution ; Lambert W function ; entropy ; extropy ; estimation ; compounding distributions ; Lindley distribution ; Lomax distribution ; stress strength model ; characterization ; Nadarajah–Haghighi distribution ; data analysis ; evaporation ; adaptive neuro fuzzy system ; firefly algorithm ; particle swarm optimization ; genetic algorithm ; statistical indices ; Euclidean distance timed and spaced ; meteorological station ; multivariable panel data cluster analysis ; biomedical data ; trigonometric function ; continuous distribution ; undernutrition ; prevalence ; hierarchical Bayesian ; spatial analysis ; small area estimation ; Markov chain Monte Carlo ; wavelet analysis ; extreme subtropical cyclones ; climate change ; sea surface temperature anomalies ; oceanic Rossby waves ; Marine Heatwaves ; Gerber–Shiu function ; constant force of interest ; Volterra equation ; absolute ruin ; delayed reporting times ; generalized odd linear distribution ; hazard rate function ; residual analysis ; Monte Carlo simulation ; Prony method ; exponential sums ; eigenfunctions ; eigenvalues ; sparse expansion ; generating function ; Hankel matrix ; short time Fourier transform ; least-square method ; bivariate beta ; gamma ; hypergeometric function ; sequential ; shift in process variance ; discretizing ; natural discrete Lindley distribution ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Our era is characterized by two major phenomena. On the one hand, we are confronted by climate and environmental crises constituted by, among others, changing weather patterns, loss of biodiversity and natural wildlife, and ecosystem degradation. On the other hand, we are experiencing an ongoing technological evolution culminating in the rise of artificial intelligence (AI). The popular notion of “AI for Sustainability” constitutes an attempt to connect these two phenomena in a beneficial way by using AI to alleviate climate and environmental worries. AI is increasingly being used in the analysis, mitigation, and prevention of the climate and environmental crises and their effects. Much less attention has been paid to the idea of the “Sustainability of AI”, which focusses on the materiality of AI technologies themselves. Indeed, what are the hidden costs of AI? Although we use AI in combatting the climate and environmental crises, does it not have its own contributions to these crises? And, if so, how do we account for these contributions? The Special Issue is the first attempt to address the topic of “Sustainable AI” from a multi-disciplinary perspective. The authors that contributed to this issue come from diverse fields such as philosophy, ethics, sociology, law, and engineering. The included papers represent the first steps in understanding what it means to tackle the climate and environmental crises with AI while refraining from aggravating these crises.
    Keywords: artificial intelligence ; Sustainable Development Goals ; ESG ; CSR ; reporting ; disclosure ; sustainability ; sustainable AI ; greenwashing ; unfair commercial practices ; AI Act ; digitalization ; sustainable digitalization ; sustainable development ; SDGs ; Assessment Framework ; mindful ; digital age ; digitainability ; digital technologies ; qualitative research ; environmental impact ; carboncentric ; technocentric ; surrogate-based optimisation ; surrogate model ; sequential model-based optimisation ; Bayesian optimisation ; Green AI ; machine learning ; intergenerational justice ; future generations ; policy-making ; explainability ; transparency ; AI ; AI governance ; ethics ; ethical AI ; differential privacy ; AI certification ; ethics of AI ; AI ethics ; checklist ethics ; ethics of carefulness ; ethics of desirability ; climate justice ; infrastructure ; climate change ; nudging ; digital nudging ; libertarian paternalism ; autonomy ; carbon footprint ; LCA ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This is a reprint of the Special Issue “Urban-Rural-Partnerships: Sustainable and Resilient” in Land, which, based on the URP2020 objectives, invited original contributions dealing with interactions in regional systems, particularly between urban and rural actors, institutions and projects to tackle great societal challenges. The 16 contributions published included conceptual and methodological papers, as well as case studies dedicated to striking examples and providing transferable knowledge and solutions. The guest editors hope that the contributions will stimulate learning processes on various levels, i.e. cross- and transdisciplinary as well as from the local level to entire regions to the broader European and international levels, in order to foster an understanding of integrated regional and urban–rural development.
    Keywords: creativity ; creative actors ; criteria matrix ; regional development ; Slovakia ; sustainable wellbeing ; rural–urban relations ; land management ; local government ; governance ; policy ; case studies ; Europe ; biodiversity offsets ; offset implementation ; production-integrated compensation ; nature conservation ; landscape planning ; agri-environmental policy ; urban–rural continuum ; transdisciplinarity ; deep participation ; co-production ; co-creation ; co-design ; sustainability ; unequal power relations ; New Leipzig Charter ; URP2020 conference ; urban–rural income gap ; spatial pattern ; driving mechanism ; China ; livelihood resilience ; migration ; urbanization ; extreme events ; India ; online business ; online shopping ; spatial diffusion model ; innovation diffusion hypothesis ; efficiency hypothesis ; regional inequality ; rural land tenure ; resilience ; circular migration ; rural-urban migrants ; Beijing ; urban village ; nature-based solutions (NBS) ; green infrastructure ; urban planning ; airshed ; watershed ; natureshed ; peopleshed ; rural–urban fringe ; social and biophysical scales ; agri-food systems ; collective action ; cooperation ; pooling ; urban-rural interlinkages ; short food-supply chains ; regional food systems ; hybrid organizations ; commercial area ; land use governance ; city-regional governance ; goal conflict ; cross-impact balances CIB ; policy mix ; policy design ; policy coherence ; urban and regional development ; structural change ; coal mining ; evidence-based planning ; real-life laboratory ; Service of General interest ; Rhenish coal-mining area ; equal living conditions ; climate change ; climate impact assessment ; scenario corridors ; heat stress ; intermunicipal cooperation ; urban–rural partnership ; sanitation ; faecal sludge management ; wastewater management ; local governance ; local government partnership ; actor-network theory ; just transition ; development strategy ; monoindustrial urban area ; Jiu Valley ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This reprint covers the following topics in the field of smart grids: 1. Optimal dg location and sizing to minimize losses and improve the voltage profile using garra rufa optimization. 2. Solar and wind energy forecasting for the green and intelligent migration of traditional energy sources. 3. Optimized micro-grid’s operation with electrical-vehicle-based hybridized sustainable algorithm. 4. The detection of nontechnical losses in smart meters using a MLP-GRU deep model and augmenting data via theft attacks. 5. A hybrid deep-learning-based model for the detection of electricity losses using big data in power systems. 6. Load frequency control and automatic voltage regulation in a multi-area interconnected power system using nature-inspired computation-based control methodology. 7. Line overload alleviations in wind energy integrated power systems using automatic generation control. 8. Electric price and load forecasting using a CNN-based ensembler in a smart grid. 9. Day-ahead energy forecasting in a smart grid considering the demand response and microgrids. 10. A dragonfly optimization algorithm for extracting the maximum power of grid-interfaced pv systems. 11. An economic load dispatch problem with multiple fuels and valve point effects using a hybrid genetic–artificial fish swarm algorithm. 12. Incentive-based dynamic pricing in a smart grid.
    Keywords: demand side management ; demand response ; load scheduling ; real time pricing ; genetic algorithm ; dynamic incentives ; artificial fish swarm algorithm ; economic load dispatch ; hybrid genetic–artificial fish swarm algorithm ; multi-objective optimization ; sustainable power generating system ; photovoltaic (PV) ; partial shading ; maximum power point tracking (MPPT) ; dragonfly optimization algorithm (DOA) ; adaptive cuckoo search optimization (ACSO) ; fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN) ; improved particle swarm optimization (IPSO) ; voltage source inverter (VSI) ; total harmonic distortion (THD) ; energy optimization ; day ahead energy prediction ; artificial neural network ; renewable energy sources ; microgrid ; smart grid ; electricity price forecasting ; energy management ; electricity load forecasting ; convolutional neural network ; corona virus herd immunity optimization ; sustainable cities ; requirement-gathering tool ; qualitative comparison ; requirement engineering ; software engineering ; requirement-management tools ; automatic generation control ; wind energy ; transmission line security ; dispatch strategies ; Pakistan power system ; PI-PD controller ; load frequency control ; automatic voltage regulator ; nature-inspired optimization ; multi-area interconnected power system ; class imbalance ; gated recurrent units ; electricity theft detection ; non-technical losses ; smart grids ; deep learning ; GRU ; healthcare ; MLP ; PRECON ; smart cities ; smart meters ; sustainable society ; electric vehicles ; flexible load ; optimization ; renewable energy ; forecasting ; machine learning ; energy efficiency ; sustainability ; low carbon emission ; distribution generation ; Garra Rufa ptimization ; PSO ; GA ; power system ; urban sustainability ; local growth ; regional cities ; cultural heritage ; real estate ; intelligent regions ; innovation systems ; circular economy ; regional policies ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains 33 articles accepted and published in the Special Issue entitled “Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics, 2022” in the MDPI journal, Mathematics, which covers a wide range of topics connected to the theory and applications of feature representation learning for image processing, artificial intelligence, data mining and robotics. These topics include, among others, elements from image blurring, image aesthetic quality assessment, pedestrian detection, visual tracking, vehicle re-identification, face recognition, 3D reconstruction, the stability of switched systems, domain adaption, deep reinforcement, sentiment analysis, graph convolutional networks, knowledge graphs, geometric metric learning, etc. It is hoped that this reprint will be interesting and useful for those working in the area of image processing, computer vision, machine learning, natural language processing and robotics, as well as for those with backgrounds in machine learning who are willing to become familiar with recent advancements in artificial intelligence, which, today, is present in almost all aspects of human life and activities.
    Keywords: head detection ; YoloV4 ; NMS ; soft-NMS ; people counting ; vehicle re-identification ; license plate recognition ; video surveillance ; feature extraction ; pedestrian detection ; machine learning ; end-to-end ; anchor-free ; feature reuse ; correlation filters ; second-order fitting ; visual tracking ; DCNN-BiLSTM ; domain adaptation ; MMD ; fine-tuning ; C-MAPSS ; cross-working ; small sample ; blind image deblurring ; image prior ; sparse channel ; sparsity ; multi-output ; kNN ; metric learning ; cost-weighted ; geometric mean metric ; motion deblurring ; image super-resolution ; multi-order attention ; gated learning ; decoupling ; face recognition ; second-order gradient ; image gradient orientations ; collaborative-representation-based classification ; image aesthetic assessment ; semi-supervised learning ; label propagation ; deep learning ; computer vision ; garbage quantity identification ; YOLOX ; Soft-NMS ; stability ; switched system ; state-dependent switching ; time delay ; multi-source domain adaptation ; Dempster–Shafer evidence theory ; cross-domain classification ; 3D reconstruction ; multi-view stereo ; structure from motion ; background matting ; adversarial example ; feature transformation ; black-box attack ; ensemble attack ; deep neural network ; intelligent design ; data analysis ; models and algorithms ; extension theory ; scheme design ; adversarial learning ; adversarial equilibrium ; transferability quantification ; power load forecasting ; routing, modulation and spectrum assignment ; elastic optical networks ; deep reinforcement learning ; knowledge distillation ; aspect-based sentiment analysis ; graph neural networks ; dependency trees ; dependency types ; graph attention mechanism ; syntactic ; semantic ; vehicle color recognition ; low–high level joint task ; object detection ; joint semantic learning ; rainy image recovery ; XSS attack ; traffic detection ; payloads ; fusion verification ; hypergraph matching ; similarity metric ; information-theoretic metric learning ; mixed noise removal ; matrix nuclear norm ; logarithm norm ; ADMM ; plug-and-play ; aspect-level sentiment classification ; external knowledge ; KGE ; GCN ; discriminative feature learning ; multidimensional scaling ; fuzzy k-means ; pairwise constraint propagation ; iterative majorization algorithm ; Aspect Level Sentiment Classification ; Contrasitve Learning ; Graph Convolutional Networks ; graph convolutional networks ; commonsense knowledge graph ; anomaly detection ; cyber–physical ; industrial control systems ; image classification ; large-margin technique ; robustness ; anti-noise performance ; cross-domain sentiment classification ; word embedding ; GAT ; hate speech detection ; contrastive learning ; multi-task learning ; attention mechanism ; state reconstruction ; gait adjustment ; uncertain temporal knowledge graph ; temporal knowledge graph ; knowledge graph embedding ; confidence score ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Research performed on robotic applications has significantly expanded in the last decade, and currently, robotic systems are being utilized for many purposes. To achieve this generalized application of robots, researchers have endeavoured to study a wide variety of methods and algorithms in order to properly employ robotic systems in many real-life scenarios. At present, many types of robotic platforms are being employed in various applications, e.g., dual-arm robots, parallel robots, mobile robots, humanoid robots, aerial robots, underwater robots, and micro/nano robots. Moreover, some theoretical tools are specially being used to obtain correct robot performance, e.g., machine learning, artificial intelligence, multi-agent systems, and control and planning theory. The purpose of this reprint is to exhibit the current state of robotic applications. In particular, in addition to introducing novel theories and methods, this reprint is particularly focused on the application of robotic systems in real-life situations. Thus, the presentation of experimental results makes evident the feasibility and usefulness of robotic systems in practical cases. Obviously, this reprint does not intend to exhaustively demonstrate all the current existing robotic applications but rather give an overview of them, revealing the high level of activity in this area. This reprint contains an Editorial, together with 30 contributions in total from countries all around the world, addressing a broad range of robotic applications.
    Keywords: 6D pose estimation ; learning-based approach ; 2D-information-based approach ; 3D-information-based approach ; textureless and reflective objects ; foreground occlusion ; background clutter ; automated parking system ; fuzzy comprehension evaluation ; Floyd algorithm ; human-operated vehicle ; autonomous vehicle ; agriculture ; cooperative robots ; key technology ; control ; humanoid and bipedal locomotion ; legged robots ; passive walking ; foot placement estimation ; nonprehensile manipulation ; robotic batting ; high-speed object manipulation ; ball recognition ; trajectory estimation ; motion control ; weighted least square ; mobile robot ; formation ; motion coordination ; attitude observer ; trajectory tracking ; path tracking ; compliance control ; human–robot interaction ; sliding mode controller ; manual guidance ; path planning ; pure pursuit controller ; deep learning ; robot kidnapping detection ; autonomous navigation ; topological mapping ; field robotics ; mining automation ; robotic assembly ; deep neural networks ; peg-in-hole ; dual-arm ; human–robot collaboration ; assembly task ; user studies ; user preferences ; quality of task execution ; usability ; autonomous loading system ; manipulator motion planning ; manipulability ; stochastic planner ; robotics ; service robots ; healthcare robots ; robot-as-a-service ; smart cities ; AGV ; AMR ; industrial robots ; collaborative robots ; machine learning in robotics ; computer vision ; system identification ; flapping-wing micro air vehicle ; longitudinal mode ; model refinement ; gray box model ; onboard sensors ; robot calibration ; robot remastering ; calibration uncertainty ; part probing ; uncertainty reduction ; sensor feedback ; nanoelectromechanical system (NEMS) ; nanorobots ; ion channel Kv10.1 ; mathematical modeling ; control algorithm ; pose estimation ; 3D reconstruction ; charuco cuboid ; pediatric stroke ; upper limb ; hand rehabilitation ; device ; Gloreha Sinfonia ; case report ; robot system ; augmented reality ; robot teleoperation ; face recognition ; face tracking ; face detection ; face alignment ; person identification ; intelligent robots ; interactive systems ; time-of-flight ; lidar ; field of view redirection ; passive redirection ; clean mirror ; dusted mirror ; prism ; robot-assisted laparoscopic surgery ; surgical robot ; da Vinci Research Kit ; IoT ; multiple object tracking ; MOT ; self-driving ; SLAM ; KITTI ; MOTChallenges ; MOT15 ; MOT16 ; MOT17 ; UA_DETRAC ; symmetry ; sit-to-stand ; elevation angle ; coordination ; backpropagation ; optimization methods ; inverse kinematics ; bipedal robot ; bio-inspired design ; simulation ; model-based design ; LIPM ; passive walker ; Unmanned aerial vehicles (UAVs) ; detection technologies ; radio frequency-based (RF) ; radar ; acoustic ; electro optical ; hybrid fusion ; controller detection ; bird song ; soundscape ; ecoacoustics ; sound source localization ; robot audition ; HARK ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: A multidisciplinary approach that involves multiple sectors and stakeholders is essential for disaster risk reduction and adaptation to climate change. This Special Issue explores how interdisciplinary approaches could resolve a wide range of issues, including risk and damage assessment, behavior change, investment, and evidence-based policy formulation.
    Keywords: natural hazard-triggered technological (Natech) ; risk perception ; protective actions ; evacuation ; household survey ; Cilegon ; Indonesia ; agricultural drought vulnerability ; spatial heterogeneity ; entropy weight method ; contribution model ; China ; risk assessment ; high-temperature disaster ; kiwifruit ; climatic suitability zoning ; hazard ; vulnerability ; exposure ; disaster prevention and mitigation capacity ; extreme temperature indices ; abrupt ; prediction ; disaster risk ; Yangtze River Basin ; climate change ; adaptation ; method ; digital disaster reduction ; natural disasters ; agricultural production ; food aid ; official development assistance ; conflict ; poverty ; cereal production ; humanitarian aid ; financing mechanism ; flood protection ; investment cycle ; investment in DRR ; Japan ; long-term plan ; lost decades ; Sendai Framework for Disaster Risk Reduction ; multi-variate Probit model ; Poisson regression model ; agricultural productive services ; earthquake disaster ; earthquake fatalities ; rapid estimation ; earthquake relief ; disaster assessment ; earthquake emergency response ; numerical simulation ; empirical method ; Yangbi earthquake ; COVID-19 ; disaster science ; evidence-based policymaking ; ordinal logistic regression ; principal component analysis ; compound indicator ; single-person households ; indirect death ; long-term effects ; excess mortality ; surveillance system ; disaster risk reduction ; disaster risk perception ; the population at risk ; agent-based modeling ; coastal areas ; community-based adaptation ; nature-based solutions ; green infrastructure ; perception ; family ; community ; Jakarta ; disaster preparedness capability ; heavy rainstorm ; local government ; AHP ; evaluation index system ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics ; bic Book Industry Communication::P Mathematics & science::PH Physics::PHK Electricity, electromagnetism & magnetism
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Natural hazard events and technological accidents are separate causes of environmental impacts. Natural hazards are physical phenomena active in geological times, whereas technological hazards result from actions or facilities created by humans. In our time, combined natural and man-made hazards have been induced. Overpopulation and urban development in areas prone to natural hazards increase the impact of natural disasters worldwide. Additionally, urban areas are frequently characterized by intense industrial activity and rapid, poorly planned growth that threatens the environment and degrades the quality of life. Therefore, proper urban planning is crucial to minimize fatalities and reduce the environmental and economic impacts that accompany both natural and technological hazardous events.
    Keywords: landslide monitoring ; early warning ; emergency management ; dissemination ; urbanized areas ; benefit evaluation ; gray correlation method ; soil erosion ; soil physical properties ; earthquake fatalities ; deep learning ; random forest ; feature importance ; structure type ; flash flood ; driving factor ; sensitivity analysis ; subregion of landcover ; Yunnan Province ; flood risk ; Bayesian networks ; integrated index for flood risk assessment ; WSN ; pipeline leakage ; human-induced sinkhole ; leakage detection ; sewer pipeline ; sensors ; highway waterfall ice ; ground water ; mathematical model ; formation mechanism ; natural hazards ; multi-agent system ; emergency relief ; public participation ; contamination indices ; geo-accumulation factor ; heavy metals ; GIS ; hazard ; social vulnerability ; hydrological and hydrodynamic model ; analytic hierarchy process ; fuzzy Delphi ; Athens metropolitan area ; urban fires ; analytical hierarchy process ; flooding ; structural vulnerability ; seismicity ; Wastewater Treatment Plants ; sustainability ; Ioannina polje ; soil quality ; agricultural soil ; aircraft emissions ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: The Special Issue "Mapping, Monitoring and Assessing Disasters" includes recent advances and results from research in the field of disaster detection and monitoring, and disaster impact assessment and mapping. It includes 10 research articles on multiparametric and interdisciplinary research on disaster phenomena related to geophysical and hydrometeorological hazards (e.g., earthquakes, landslides, tsunami, medicanes, megafires) that have occurred in various regions of Greece, New Zealand and Chile. These approaches constitute a useful and effective tool for mapping, monitoring and assessing disasters in areas with similar geodynamic settings and geoenvironmental properties worldwide.
    Keywords: coastal areas ; landslides ; lidar ; UAS ; remote sensing ; coastal development ; TLS ; Ionian ; Ionian Islands ; Cephalonia–Lefkada Transform Fault Zone ; seismicity ; ground deformation ; GNSS ; seismic hazard ; seismic swarm ; seismology ; geodesy ; double-difference relocation ; Coulomb stress transfer ; Thiva ; Greece ; Arkalochori ; Messara Basin ; Heraklion Basin ; Kastelli fault zone ; supra detachment basin ; fault segmentation ; DInSAR ; earthquake-induced landslides ; landslide inventory ; event inventories ; rockfalls ; contemporary sources ; landslide susceptibility ; earthquake-induced landslide susceptibility ; Analytic Hierarchy Process ; Ionian Sea ; Cephalonia ; tsunami inundation ; historical records ; hazard risk exposure ; Pacific ; BG-Flood ; RiskScape ; photogrammetry ; viewing angle ; oblique ; nadir ; mapping ; geomorphology ; wildfires ; geospatial intelligence ; web app ; operational mapping ; burn severity ; soil erosion ; Attica ; RUSLE (revised universal soil loss equation) ; NBR (normalized burn ratio) ; remote sensing (rs) ; wildfire ; ignition risk ; model ; megafire ; climate change ; bagged decision tree ; wildland urban interface ; rapid mapping ; Sentinel-2 ; Ianos ; Medicane ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint focuses on the key concepts and contemporary issues related to corporate governance, social responsibility, innovation, and sustainable business development goals. It highlights the importance of integrating these principles into the operations of modern businesses. The reprint aims to explore these concepts, providing theoretical foundations, practical frameworks, and real-world examples to inspire responsible, innovative, and sustainable business practices.
    Keywords: stock split reform ; ownership characteristics ; state ownership ; concentrated ownership ; financial performance ; China ; corporate sustainability ; concept of corporate sustainability ; definition of corporate sustainability ; sustainable development ; CSR ; cost of capital ; ESG disclosure ; firm risk ; cash holdings ; government ownership ; generalized method of moments ; Islamic religiosity ; individual responsibility ; managers ; Egypt ; ESG rating ; corporate green innovation ; institutional environment ; redundant organizational resources ; corporate governance ; disclosure ; FinTech ; sustainability ; coercive isomorphism ; 17 UN sustainable development goals ; sustainability reporting ; legitimacy theory ; stakeholder theory ; voluntary disclosure theory ; Vietnam ; mandatory disclosure ; difference-in-differences ; CSR performance ; institutional investors ; TMT experience heterogeneity ; innovation quality ; partner diversity ; TMT technological participation ; environmental corporate social responsibility ; shared vision capability ; resource slack ; green innovation performance ; green development ; resource-based theory ; environmental degradation ; defense burden ; panel ARDL ; panel NARDL ; panel causality ; corporate social responsibility ; innovation input ; tendency score-matching ; quantile regression ; bank debt ; innovation ; overborrowing ; uncertainty of economic policy ; self-interest behavior of executives ; board of directors ; Corporate Digital Responsibility (CDR) ; digital transformation ; enterprise resource planning (ERP) ; environmental impacts ; information systems ; corporate reporting ; disclosure obligations ; non-financial disclosure ; non-financial reporting ; SDGs ; corporate citizenship ; ESG ; text mining ; correlated topic modeling ; knowledge exchange ; global business ; SMEs ; green innovation ; environmental protection background ; media attention ; board independence ; net zero ; climate change ; enterprises ; grey literature ; greenhouse gases ; emissions ; anti-corruption disclosure ; corporate reporting quality ; UK Bribery Act 2010 ; extractive industry ; board CSR orientation ; board CSR strategy ; global reporting initiative ; country–cultural dimensions ; Europe ; transformational leadership ; external social capital ; ESG performance ; organizational innovation ; organisation culture ; combating bribery ; non-financial performance ; emerging economy ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The delicate balance of resource intensity and efficiency of a solution for a very complex problem raises the issue of how these aspects constitute a symmetrical or asymmetrical system. Computational Intelligence (CI) offers a plethora of efficient tools for the potential and rather good quality solution of highly complex, often mathematically intractable problems. This "toolbox" is one of the best examples for the study of the above mentioned issue, namely, how to find the best balance, how to establish a symmetry of weights or costs in a particular field, for a particular problem. This special issue presents a number of interesting novel applications of CI for the tackling of a wide variety of difficult problems. The Introduction gives a short insight into the symmetry and asymmetry aspect of the topic.
    Keywords: lung nodule segmentation ; 3D-UNet ; 3D-Res2UNet ; multi-scale features ; deep learning ; butterfly optimization algorithm (BOA) ; particle swarm optimization (PSO) ; cubic map ; nonlinear ; high dimension ; extensional fuzzy numbers ; MI-algebras ; similarity ; arithmetics of fuzzy numbers ; orderings ; fuzzy interpolation ; economic data ; air defense system ; artificial immune system ; command and control ; learning classifier system ; multi-agent systems ; weapon-target assignment ; energy optimization ; genetic algorithms ; multi-objective optimization ; artificial neural network simulator ; artificial intelligence ; artificial bee colony algorithm ; global optimization ; neural network ; nonlinear static system ; behavioural finance ; imprecision ; oriented fuzzy number ; oriented present value ; oriented return ; S-divergence ; S-distance ; spectral clustering ; text summarization ; recurrent neural network ; embedding ; dynamic memory network ; fuzzy-rough cognitive network ; fuzzy cognitive map ; granular computing ; fuzzy-rough sets ; stability ; convergence ; discrete bacterial memetic evolutionary algorithm ; simulated annealing ; flow shop scheduling problem ; global sensitivity analysis ; Sobol procedure ; fast algorithm ; convolutional neural network ; structure reduction ; pruning ; quality ; feature selection ; machine learning ; asexual ; genetic algorithm ; android malicious application detection ; bees algorithm ; training deep neural networks ; metaheuristics ; opinion mining ; recurrent neural networks ; sentiment classification ; natural language processing ; data augmentation ; fine-tuning ; generative models ; StyleGAN ; transfer learning ; present value ; discount factor ; portfolio ; finance ; optimization ; tourist trip design ; vehicle routing ; key performance indicator (KPI) ; anomaly detection ; variational auto-encoder (VAE) ; support vector data description (SVDD) ; FMEA ; Fuzzy Logic ; greenhouse gases ; blockchain ; difficulty adjustment ; proof-of-work ; ANN ; AlexNet ; COVID-19 ; TSA ; commonsense ; knowledge graph ; linguistic terms ; language models ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Taxonomy, floristic studies, biosystematics, classical taxonomy, and modern taxonomic advances; phylogenomics, phylogenetics, and biogeography, including phylogeography; and the description of well-documented new taxonomic taxa, monographs, and taxonomic revisions. It incorporates data from classical morphology (including both macro and micro morphology), molecular study, anatomy and ecology, distribution, molecular evolution, evolutionary development, population biology, conservation biology, evolutionary ecology, paleobiology, and related methods and theories in recent development in systematics and floristic studies.
    Keywords: species boundaries ; species concept ; taxonomic relationship ; conservation ; future climate change ; ecology ; Mimosoideae taxa ; pollen morphology ; taxonomic relevance ; light microscopy ; scanning electron microscopy ; Dalbergia ; Early Miocene ; ITS ; long-distance dispersal ; matK ; monophyletic ; rbcL ; flora ; environmental variable ; multivariate analysis ; soil moisture ; Shangla district ; Pakistan ; coastal and insular vegetation ; protected areas ; coastal wetland ; freshwater swamp ; mangrove ; lowland dipterocarp forest ; exine sculpturing ; palynomorph ; pollen grains ; Arabian Peninsula ; chorology ; flora of Saudi Arabia ; flora of West Asia ; Hijazi Mountains ; Jabal Al-Ward ; Tabuk ; Saudi Arabia ; bioclimatology ; agronomy ; olive cultivation ; climate change ; vegetation cover ; antioxidant capacity ; bioactive compounds ; endangered medicinal species ; high altitude environment ; oxidative stresses ; protectorate ; fernlike plant ; new syntaxa ; Ophioglossaceae ; phytosociological study ; palynoflora ; taxonomic ; microscopy ; systematics ; vegetation’s origin ; Turkish flora ; surface ; clustering analysis (CA) ; principle component analysis (PCA) ; Gas chromatography-mass spectrometry (GC-MS) ; leaf ; morphometry ; morphotype ; Ricinus communis ; SEM ; stomata ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Keywords: speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-08-08
    Description: Rural development is an essential constituent of the global economy. However, within agriculture, a decrease in the quantity and quality of crop harvest and livestock productivity is observed due to a deterioration in soil fertility, environment, and irrational use of natural resources. At the same time, agricultural areas are under pressure from population growth, requiring more food production. As a result, it encourages people to move into intact primary areas in order to increase the area of crops, pastures, etc., which leads to the destruction of natural diversity. The solution to avoid disaster is increasing agricultural production efficiency to expand crop harvest and livestock productivity without deteriorating quality. It requires introducing innovative engineering technologies to agriculture. Fortunately, technology is developing rapidly nowadays, and new driving scientific forces are emerging. The Special Issue collected high-quality research and review articles from academics and industry-related researchers in the areas of Agricultural Engineering covering the following topics: harvesting and planting crops, livestock production, livestock and agrofood waste utilization, seed treatment and transportation, water treatment, agricultural robotic applications, solutions for digital and precision agriculture, hardware and software support for pest and weed control, machine learning, energy efficiency and conservation in agriculture.
    Keywords: microclimate ; ceiling fans ; electric thermal storage unit ; energy–saving ; heat supply system ; discrete element method ; soybean seed ; ellipsoidal shape ; parameter calibration ; rolling friction coefficient ; pulsed LED light ; continuous LED ; scanning LED light ; energy saving ; lettuce ; vertical farms ; growth ; cultivation ; pneumatic seeder ; pressure loss characteristics ; complex airway ; airway optimization ; harvesting ; force action ; potato ; working body ; harvesting machines ; device for assessing the suitability for harvesting ; transition metal ; charge compensator ; red emission ; artificial lighting ; photosynthetic pigments ; count red jujubes ; red jujube ; improved YOLOv5s ; ShuffleNet V2 Unit ; Stem ; BiFPN ; impact sprinkler ; non-circular nozzle ; water distribution ; aspect ratio ; 2D video disdrometer ; droplet kinetic energy distribution ; wild blueberry ; Vaccinium angustifolium ; Monilinia vaccinii-corymbosi ; deep learning ; coordinated attention ; synthetic data ; prediction accuracy ; multi-objective evolutionary algorithms ; double wishbone mechanisms ; multibody dynamics ; pareto solution set ; amaranth inflorescence wastes ; pyrolysis ; thermogravimetric analysis ; hydrocarbon rich bio-oil ; indoor climate ; air cooling ; water-evaporative systems ; sprayed panels ; heat recovery units ; technological process ; rod elevator ; lifting angle ; displacement ; experiment ; cleaning machine ; grain plants seeds ; Fusarium ; photoluminescence ; linear regression models ; green cold chain delivery ; fresh agricultural products ; customer value ; time-dependent road network ; biomass ; Amaranthus retroflexus ; bio-oil ; biochar ; WCH ; DCH ; feed length of the stalk ; conveying performance ; fuel consumption ; high-voltage electrical pulse ; processing ; plant tissue ; irreversible damage ; intracellular structure ; green energy supply ; agricultural electrification ; high-efficiency photovoltaic equipment ; complex energy supply systems ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Air pollution and the changing climate are some of the greatest threats to the health and functioning of forest ecosystems, strongly jeopardizing their ecological and economic functions as well as services. The impact of increasing temperatures and extreme weather events (droughts, storms, temperature and precipitation extremes) on the vitality of forest trees is often difficult to separate from the impact of pollution, such as nitrogen deposition and tropospheric ozone, as they can exhibit synergistic effects. The use of indicators is elementary in modern forest ecophysiological research, as they help us to disentangle complex interactions between trees and various stress-inducing factors as well as better estimate the level of damage to trees and forest ecosystems.Eleven papers are included in this Special Issue, with wide-ranging topics from various disciplines but centered around tree responses to environmental stress. The task of this Special Issue is twofold: one, to remind us that a better understanding of the physiological processes influencing tree vitality under the changing climate and air pollution pressures requires considerable research efforts and constant advancements in research methods and approaches; two, to highlight the fact that the environmental pressures instigating the use of tree stress response indicators are more present than ever, and will likely continue to affect tree vitality in the foreseeable future.
    Keywords: defoliation ; monitoring ; tree vitality ; drought ; climate change ; forest decline ; extreme climate events ; tree mortality ; climate response ; radial increment ; dendrochronology ; Fagaceae ; osmolytes ; antioxidant ; phytohormones ; trade-off mechanisms ; stress marker ; oxidative stress ; tropospheric ozone ; leaf symptoms ; PODy ; water stress ; risk assessment ; climate–growth relationship ; climate signal ; tree-ring width ; basal area increment ; blue intensity ; daily climatic data ; cadmium ; nickel ; phytoremediation ; plant hormones ; polyamines ; poplar ; Populus deltoides ; antioxidative enzymes ; chlorophyll ; defoliated trees ; hydrogen peroxide ; lipid peroxidation ; nutrient concentration ; Pinus spp. ; Quercus spp. ; undefoliated trees ; pine ; BAI ; isotopes ; iWUE ; water and thermal stress ; SPEI ; Poland ; foliar composition ; stoichiometry ; ICP Forests ; tree decline ; Quercus brantii ; cellular characteristics ; calcium oxalate crystals ; 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 ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNA Agribusiness and primary industries::KNAL Forestry industry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: In this Special Issue, we aim to represent the vibrant state of protein structure studies at the end of 2021. Recent decades have brought significant changes to the protein structure research field. Thanks to the genome projects and advances in structure determination methods, the number of solved protein structures has increased significantly. Protein structure research is experiencing a new renaissance, and in 2020 the number of deposited structures in the PDB database reached a new record. An assortment of many new frontiers are presented in this collection. A single Special Issue cannot give a comprehensive overview of a large field such as proteins science, but we aim to give a broad overview of current research.
    Keywords: configurational entropy ; force fields ; intrinsically disordered proteins ; protein folding ; NMR ; high hydrostatic pressure ; thermodynamic stability ; α-helical bundle ; Li-Fraumeni syndrome ; hereditary breast cancer ; germline TP53 missense variants ; quantitative prediction model ; protein conformation ; protein–protein interactions ; protein–protein binding ; protein–protein complex ; coarse-grained modeling ; multiscale modeling ; UFM1 ; UBA5 ; UFC1 ; protein-protein interactions ; complex structure ; oxidative stress ; Nrf2 ; Keap1 ; nuclear magnetic resonance spectroscopy ; hydrogen/deuterium exchange ; mass spectrometry ; circular dichroism ; intrinsically disordered ; bifidobacteria ; fucosidases ; glycosyl hydrolases ; conserved domains ; human milk ; analytical ultracentrifugation ; CO2 concentrating mechanism ; diffusion-ordered NMR spectroscopy ; electrospray ionization mass spectrometry ; homotetramer ; manganese ; metalloprotein ; photosynthesis ; small-angle X-ray scattering ; C1q ; calcium binding proteins ; genetic variation ; otoconia ; otolin-1 ; OTOL1 ; site-directed mutagenesis ; thermal shift assay ; B.1.1.7 ; B.1.617.2 ; COVID-19 ; E484Q ; T478K and L452R mutation ; N501Y mutation ; spike protein ; tetrabromobisphenol A ; tetrabromobisphenol S ; erythrocyte membrane ; retardants ; erythrocytes ; protein–ligand interactions ; protein dynamics ; FK506-binding protein ; FKBP12 ; FKBP51 ; oxidative folding ; glutathionylation ; nitrosylation ; cysteine reactivity ; ribosomal exit tunnel ; transient complex ; glutathione ; phosphorylation ; transmembrane proteins ; saturation mutagenesis ; deep sequencing ; residue packing ; deep learning ; convolutional neural network ; bidirectional long-short term memory ; protein ; prediction ; contact ; distance ; alphafold ; ProSPr ; CASP ; dataset ; retrainable ; mutual synergetic folding ; solvent accessibility of peptide bonds ; inter-subunit interaction ; solvent-accessible surface area ; Shannon information entropy ; amino acid composition ; glucose ; GlcNAc ; galactose ; GalNAc ; mannose ; xylose ; fucose ; Neu5Ac ; glucuronate ; iduronate ; tetrahydropyran ; entropy ; free energy ; free energy landscape ; energy-dependent protein folding ; co-translational protein folding ; molecular chaperones ; physical model of protein folding ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint focuses on land use/land cover (LULC), natural hazards and their interactions, changes, and impacts. Over the past few decades, the risks due to natural hazards have increased significantly, to a large extent due to changes in LULC, which are triggered mainly by anthropic pressure on landscapes, i.e., urbanization, forest management practices, agricultural practices, and the like. As a result, LULC changes contribute significantly to changes in the variability or magnitude of natural hazards, such as floods, landslides, and erosion. Therefore, this reprint provides a collection of studies focused on the interactions between LULC and different types of natural hazards, which were studied in several research areas around the world.
    Keywords: flash floods ; intense rainfall ; urbanized areas ; damage ; anthropic impacts ; West Mediterranean ; Italy ; land use change ; surface runoff ; urban development ; green infrastructure ; Xiamen ; land use/land cover legacy ; airborne LiDAR-based HRDTM ; generalized additive model ; landslide susceptibility modeling ; historical landslide inventory bias ; biomass extraction ; farmers’ perception ; NDVI ; climate change ; remote sensing ; GIS ; NDBI ; flood risk ; land use ; settlement development ; agricultural land use ; flood-prone areas ; Alpine regions ; landslide modelling ; shallow landslides ; soil cohesion ; soil tillage ; river meandering ; river morphology ; centerline migration ; satellite images ; loess ; filled slope ; physical model test ; interface effect ; stability ; river morphodynamics ; Landsat data ; planform changes ; forest fire ; fire danger rating systems ; environmental fire danger ; fire indices ; drought indices ; remote sensing fire indices ; fire ignition probability ; climate change extremes ; land cover ; QGIS ; MOLUSCE ; Great Yellow River Region ; mountain hazards ; land take ; landslide hazard ; land cover change ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
    Language: English
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  • 91
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: "Health and Public Health Applications for Decision Support Using Machine Learning" is a reprint that explores the intersection of machine learning and health sciences. It presents a collection of research and innovations showcasing how data-driven algorithms can transform patient care, disease diagnosis, and public health management. The reprint covers a wide range of topics, including natural language processing for biomedical relation extraction, ensemble learning for blood glucose level forecasting in diabetes management, machine learning for predicting walking stability and fall risk among the elderly, deep learning for pneumonia-infected lung volume quantification, and more.The reprint also discusses applications in precision medicine, early detection of renal damage, cardiac health monitoring, stress classification for mental health assessment, and early diagnosis of intracranial internal carotid artery stenosis. It emphasizes the role of machine learning in managing health crises, such as COVID-19 detection using ECG, voice, and X-ray systems, and reviews AI models in diagnosing adult-onset dementia disorders.Overall, this reprint aims to inspire researchers and healthcare professionals by showcasing the transformative potential of machine learning in healthcare. It hopes to encourage further research and collaboration to advance healthcare and technological innovations for a healthier future.
    Keywords: adult-onset dementia ; Alzheimer’s disease ; magnetic resonance imaging ; artificial intelligence ; machine learning ; neural networks ; atherosclerosis ; Doppler ultrasound ; internal carotid artery ; hemodynamic modeling ; stroke ; stress ; emotion ; action units ; speech ; audio visual ; RNN-LSTM ; petri-plates ; colonies ; machine-learning models ; discrimination ; Measurement uncertainty ; Monte Carlo method ; ECG ; Cardiac health ; COVID-19 ; signal processing ; image processing ; computerized diagnostic systems ; subclinical renal damage ; risk assessment tool ; group-based trajectory modeling ; screening strategy ; CVD classification ; data selection ; convolutional neural network ; pretrained model ; deep learning ; transfer learning ; infected lung segmentation ; quantification of lung disease severity ; comparison between manual and automated image segmentation ; deep neural network ; COVID-19 detection ; COVID-19 severity assessment ; gait ; neuromuscular control ; movement synergy ; overground walking ; principal component analysis (PCA) ; largest Lyapunov exponent (LyE) ; time-series forecasting ; blood glucose ; diabetes ; ensemble learning ; artificial neural network ; DDI (drug–drug interaction) ; CPR (chemical–protein relation) ; transformer ; self-attention ; GAT (graph-attention network) ; relation extraction ; ChemProt ; T5 (text-to-text transfer transformer) ; n/a
    Language: English
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  • 92
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: This reprint is a continuation of our previous reprint “Sustainable agricultural, biological, and environmental engineering applications” [ISBN 978-3-0365-2921-9], which was published in January 2022. The reprint contains research and review works focused on agricultural engineering technologies and applications. In this regard, the reprint covers topics including agricultural storage, quality evaluation of fruits, evaporative cooling and desiccant systems, solar coffee roasting, solar yogurt processing, greenhouse environment, greenhouse ventilation, greenhouse thermal requirements, aquaculture production system, bioreactor landfill, waste management, fertilization reduction in agriculture, sustainable porous surfaces, simulation and modeling, artificial intelligence, and machine learning. Such agricultural engineering studies are urgently needed in the 21st century, particularly from the perspective of the agriculture–energy–food security nexus.
    Keywords: greenhouse ; microclimate ; Bayesian optimization ; deep neural network ; roses yield ; Gaussian process ; gradient boosting ; pool boiling heat transfer coefficient ; sintered coated porous surfaces ; gaussian process ; gradient boosting regression trees ; response surface ; renovation index ; CFD simulation ; airflow ; evaporative cooling ; desiccant dehumidification ; agricultural storage ; air conditioning ; system performance ; lemon cordial ; microwave ; preservation ; green processing ; antioxidant potential ; renewable energy ; Scheffler concentrator reflector ; batch-type solar roaster ; response surface methodology ; coffee roasting ; municipal solid waste ; sanitary landfill ; open dumps ; waste to energy ; climate change ; yogurt processing ; solar energy ; solar-based heating and cooling ; thermal analysis ; vegetable yield ; nitrogen use efficiency ; nutrient leaching ; leaching-to-input ratio ; nitrogen fertilizer economic benefit ; environment ; eutrophication ; particulate fraction ; effluent ; treatment ; thermal screens ; heating demand ; TRNSYS ; greenhouse internal temperature ; building energy simulation ; longwave radiation ; soil total nitrogen ; BP neural network ; support vector machines ; spatial distribution ; remote sensing ; 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
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  • 93
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-23
    Description: The production and development of the built environment relates strongly to the fields of architecture and urban planning. The built environment experiences severe impacts from disasters that have become more frequent and intense around the world due to climate change and other human actions, requiring research on architectural design and urban planning that contributes to resilience. On the other hand, the built environment itself causes environmental impacts through the consumption of energy, land-use change and pressure on ecosystems, among a variety of other factors. Thus, research-informed policies, practices, and strategies relating to the built environment are necessary, requiring innovative and forward-thinking visions for a resilient and sustainable future. The built environment is multifold, with its manifestation determined by economic levels, political systems, demography, and natural resources. Therefore, contextual approaches and solutions in architecture and urban planning are essential to produce a diverse range of research findings. This publication serves as a platform to assemble such recent and innovative research findings relating to resilience and sustainability in the architecture and urban planning fields, and through an open access mode, disseminate this knowledge widely at a time when the world is facing critical challenges posed by disasters and environmental transformation.
    Keywords: social housing ; renovation works ; energy efficiency improvement ; Cappuccinelli Social Housing district ; Trapani ; disaster mitigation ; disaster-risk reduction ; disaster recovery ; design ; architecture ; design thinking ; energy performance gap ; occupant behavior ; residential buildings ; energy efficiency ; sustainability ; resilience ; cyclones ; self-recovery ; shelter ; Vanuatu ; Town Camps ; First Nation communities ; topological mapping ; community infrastructure ; PPGIS ; minimalism ; architectural design ; COVID-19 pandemic ; construction industry ; health and safety ; communication ; construction projects ; Elemental ; Villa Verde ; incremental housing ; adaptation ; urban planning ; tsunami ; Sri Lanka ; multi-hazard ; urban regeneration ; urban renewal ; urban analysis ; urban evaluation ; parameters ; neighborhood evaluation ; climate change ; CMIP6 ; extreme precipitation ; Gandaki Province ; GIS ; thema EDItEUR::A The Arts ; thema EDItEUR::A The Arts::AM Architecture
    Language: English
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  • 94
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: This volume is focused on a wide range of topics, including adaptive optic components and tools, wavefront sensing, different control algorithms, astronomy, and propagation through turbulent and turbid media.
    Keywords: adaptive optics ; influence function ; wavefront correction ; adaptive retroreflector ; tunable lens ; adaptive lens ; polymer optics ; divergence control ; fluidic lens ; tunable optics ; wavefront aberrations ; adaptive method ; Zernike functions ; wavefront sensor ; multichannel diffractive optical element ; coherent beam combining ; neural network ; laser beam array ; deep learning ; atmospheric turbulence ; optical vortices ; Zernike polynomials ; laser beam focusing ; scattering medium ; spatial light modulator ; Shack-Hartmann sensor ; deformable mirror ; laser ablation ; parallel-gap resistance microwelding ; wavefront control ; tip-tilt mirror ; FPGA ; angular stabilization system ; bimorph mirror ; fast adaptive optical system ; turbulence ; spectral analysis ; lattice geometry ; Walsh functions ; thema EDItEUR::P Mathematics and Science::PN Chemistry
    Language: English
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  • 95
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-11-30
    Description: The topic “Marine Renewable Energy” brings together four MDPI journals, Energies, Journal of Marine Science and Engineering, Inventions, and Processes, with 51 papers published. The present reprint includes a selection of 26 significant scientific works structured into three main subjects: S1 - wind turbines, including both fix and floating structures (7); S2 - developments in ocean energy and emerging floating photovoltaic systems (10); and S3 - economic assessments related to offshore renewable energy extraction (9). The present reprint seeks to contribute to the renewable energy agenda through enhanced scientific and multi-disciplinary works, aiming to improve knowledge and performance in harvesting offshore renewable energy.
    Keywords: offshore renewable energy ; marine environment ; climate change ; wind turbines ; floating structures ; 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
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  • 96
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Knowledge and awareness of the risks generated by natural hazards are essential requirements for the enhancement of communities' resilience to disasters. United Nations directives have recently pointed out the necessity of undertaking actions aimed at anticipating, managing, and mitigating disaster risks to reduce their economic and social impact and protect the health, socioeconomic assets, cultural heritage, and ecosystems of communities and countries. While the increasing occurrence of disasters caused by meteorological events, such as floods, storms, and droughts, can be directly ascribed to the consequence of climate change, disasters induced by earthquakes and tsunamis are increasing even if their frequency of occurrence is historically unchanged. This Special Issue addresses concepts, methods, and predictive methodologies for assessing natural hazard risks. It presents fifteen articles focusing on the single-risk assessment of a broad range of natural hazards, such as earthquakes, river/sea floods, meteotsunamis, tornados, hydrological and meteorological drought, liquefaction, as well as on multirisk assessment in the presence of multiple hazards. The adopted methodologies rely on (a) quantitative, semi-quantitative, and qualitative methods for the assessment of the risks related to natural hazards; (b) risk analysis at different scales; (c) multi-hazard risk assessment techniques; (d) real-time hazard monitoring and warning systems; (e) disaster mitigation strategies; and (f) risk management and emergency planning on multiple scales.
    Keywords: tornadoes ; climatology ; Bayesian ; risk assessment ; multi hazard ; seismic risk ; hydraulic risk ; machine learning ; principal component analysis ; climate change ; multi-hazards ; WRF-ARW ; EC-Earth GCM ; Greece ; geographic information system ; hazard assessment ; river terraces ; flood risk ; multiple-criteria decision analysis ; PROMETHEE algorithm ; lateral displacement ; liquefaction ; Gaussian process regression ; sensitivity analysis ; NFIP claims ; flood insurance ; flood cause of loss ; HURDAT ; catastrophe model ; seismic risk assessment ; pushover analysis ; vulnerability index ; damage index ; index of seismic risk ; masonry buildings ; geophysical surveying ; seismic tomography ; geotechnical characterization ; drought SDI ; SPI ; linkage ; propagation ; Adriatic Sea ; database ; tsunami ; meteotsunami ; ArcGis ; WebApp ; AHP ; digital elevation model ; flood ; GIS ; target displacement ; earthquake ; peak ground acceleration ; reinforced-concrete ; pushover ; coastal flooding ; real-time warning system ; tides ; wind-generated waves ; barometric pressure ; mobile application ; multi-hazard risk assessment ; multi-criteria decision-making ; PROMETHEE method ; 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::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNR Natural disasters
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  • 97
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-31
    Description: This reprint discussed the role of retinal and optic nerve imaging in addition to its application in ophthalmic diseases and clinical medicine. It includes some high-quality articles containing original research results as well as review articles of exceptional merit.
    Keywords: rhegmatogenous retinal detachment ; optical coherence tomography angiography ; vitrectomy ; foveal avascular zone ; macular vessel density ; Boswellia serrata ; curcumin ; diabetic macular edema ; celiac disease ; OCT ; optical coherence tomography ; retinal layers ; RNFL ; quality of life ; canaloplasty ; trabeculectomy ; medical therapy ; central serous chorioretinopathy ; pachychoroid ; en face optical coherence tomography ; choroid ; choroidal vascularity index ; oculomics ; artificial intelligence ; machine learning ; deep learning ; retinal imaging ; color fundus photograph ; systemic diseases ; cardiovascular diseases ; neurodegenerative diseases ; COVID ; SARS-CoV-2 ; retinal vein occlusion ; RVO ; vaccination ; branch retinal vein occlusion ; optic disc drusen ; visible optic disc drusen ; deep convolutional neural network ; DCNN ; inceptionv3 ; dyslexia ; reading ; retina ; macula ; fovea ; parafovea ; perifovea ; thickness ; segmentation ; Best disease ; choroideremia ; inherited retinal diseases ; retinitis pigmentosa ; Stargardt disease ; thema EDItEUR::M Medicine and Nursing ; thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology
    Language: English
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  • 98
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Despite recent progress in developing new strategies, practices and technologies for water resource management, their dissemination and implementation have been limited. The nexus approach encompasses these interdependencies, and to promote this idea, different global frameworks are there to address global health in a holistic and comprehensive ways, such one earth, one health, eco-health, planetary health, etc. Planetary health is the most recent one advocated by the scientific communities as well as policy makers, however, very little has been done to present empirical scientific evidence from the ground. Considering the above-mentioned information gap, this special issue aimed to capture the persistently changing dimensions and new paradigms of water security, providing a holistic view including a wide range of sustainable solutions to address water security at different landscapes.
    Keywords: socio-hydrology ; Con Dao Island ; water resilience ; WEAP ; eutrophication ; variable interactions ; multiple linear regression ; reservoir ; water quality ; buffer zone ; land use/land cover ; Bangladesh ; heavy metals ; ecological risk ; Surma River ; Monte Carlo simulation ; multivariate analysis ; Hakanson risk index ; groundwater ; fractured rock ; hydrogeochemistry ; geochemical evolution ; environmental isotopes (δ18O ; δ2H ; and 3H) ; Ambaji Basin ; NW India ; socio-economic development ; water resource management ; EcoLab module ; hydrodynamics modeling ; surface water quality ; one dimension ; cage culture ; pond/lagoon culture ; MODFLOW ; groundwater modeling ; hydraulic conductivity ; coastal aquifer ; Mahanadi delta ; groundwater hydrology ; groundwater resource evaluation ; groundwater management ; groundwater reserves ; sustainable water resource management ; risk ; vulnerability ; climate change ; principal component analysis ; low-lying delta ; IPCC AR 4 and AR 5 ; microplastics ; freshwater ; human health ; Asia ; systematic review ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 99
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Speech is the most spontaneous and natural means of communication, as well as the preferred modality for interacting with mobile or fixed electronic devices, but speech in-terfaces have drawbacks, such as a lack of user privacy; non-inclusivity for certain users; poor robustness in noisy conditions; and the difficulty of creating complex man–machine interfaces. The Special Issue “Future Speech Interfaces with Sensors and Machine Intelligence” assembles eleven contributions that cover multimodal and silent speech interfaces; lip reading applications; novel sensors for speech interfaces; and enhanced speech inclusivity tools for future speech interfaces. The articles make important improvements beyond the state of the art, advancing the state of the art to new frontiers in some cases. Short summaries of all articles, grouped by topic, are presented, followed by a global commentary and evaluation.
    Keywords: neural machine translation (NMT) ; transformer ; Arabic dialects ; modern standard Arabic ; subword units ; multi-head attention ; shared vocabulary ; self-attention ; 3D densely connected CNN ; 3D multi-layer feature fusion CNN ; convolutional neural network ; deep learning ; lipreading ; speech recognition ; visual speech recognition ; silent speech ; continuous-wave radar ; European Portuguese ; machine learning ; multimodal speech ; lip reading ; ultrasound tongue imaging ; pose estimation ; speech kinematics ; keypoints ; landmarks ; audio-visual speech recognition ; lip-reading ; application programming interface ; multi-modal interaction ; deep neural networks ; multi-view VSR ; attention mechanism ; spatial attention module ; local self-attention ; connectionist temporal classification ; text-to-lip ; speech synthesis ; text-to-speech ; speech-to-lip ; zero-shot adaptation ; generative models ; artificial intelligence ; objective measures ; hybrid models ; end-to-end recognition ; reliability measures ; decision fusion net ; articulation-to-speech synthesis ; silent speech interface ; speaker adaption ; voice conversion ; audiovisual speech recognition ; multimodal interaction ; edutainment ; virtual aquarium ; speech processing ; ultrasound imaging ; silent speech interfaces ; speech sensors ; 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
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  • 100
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint sought high-quality contributions that highlight novel research results and emerging applications, addressing recent breakthroughs in UAS autonomous navigation and related fields, such as flight mechanics and control, structural design, sensor design, etc. The topics of interest included the following: two-dimensional and three-dimensional mapping, target detection, and obstacle avoidance; the active perception of targets in cluttered environments (foliage, forests, etc.); vision-based and optical flow techniques; sensors and sensor fusion techniques; design models for guidance and controlled flight; state estimation, data analysis and filtering techniques (KF, EKF, particle filtering, fuzzy logic, etc.); path planning and path management; optimal control and strategies (neural networks, fuzzy logic, reinforcement learning, evolutionary and genetic algorithms, AI, etc.); navigation in GPS-denied environments; autolanding and safe landing area definition (SLAD); environmental effects on UAVs (wind, etc.); autonomous UAV or MAV swarms, and distributed architectures; BVLOS autonomous navigation.
    Keywords: quadcopter ; unnamed aerial vehicle ; dynamic model ; PID controller ; fuzzy logic ; genetic algorithm ; intelligent control ; unmanned aircraft systems (UASs) ; IMU ; pressure sensors ; angle-of-attack estimation ; autonomous flight ; flight mechanics ; flight maneuvers ; hybrid data and model driven ; key-frame ; motion primitives ; iterative learning ; sliding mode control ; unmanned arial vehicles ; trajectory tracking ; air data system ; flow angle ; angle-of-attack ; angle-of-sideslip ; flight dynamics ; flight testing ; synthetic sensor ; analytical redundancy ; model-free ; physics-based ; flying ad-hoc network (FANET) ; millimeter-wave (mmWave) ; neighbor discovery ; unmanned aerial vehicle (UAV) ; free-space optical communication ; spatial mode diversity ; unmanned aerial vehicle ; emergency recovery communications ; floods ; beach litter ; object detection ; drone surveys ; unmanned aerial vehicles (UAVs) ; deep learning ; yolov5 ; geolocation ; litter monitoring ; beach cleaning ; digital elevation models ; unmanned aircraft systems ; ZED 2 stereo camera ; indoor localization ; real-time application ; sensor integrity ; collision avoidance ; sensor fusion ; unmanned vehicles ; 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
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