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  • machine learning  (586)
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  • 1
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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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  • 2
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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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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The Special Issue entitled “Advances in Rock Mechanics and Geotechnical Engineering” is devoted to the publication of the latest research, field works, and laboratory investigations in the area of rock mechanics and geotechnical engineering. This Special Issue has published novel contributions in different areas of geotechnical and geomechanical engineering such as slope and embankment, tunneling and underground space technologies, pile and foundation, rock mechanics and rock blasting, excavation and leveling projects, ground improvement techniques, unsaturated soil, practical issues in soft soil, mining technology, geo-environmental engineering, new laboratory testing, applied geology for construction, and novel geotechnical construction methods. The focus of this reprint is on the development of computational methods for solving problems in the fields of rock mechanics and geotechnical engineering.
    Keywords: strength prediction ; brittle rock ; grain-structure representation ; micro-properties ; bonded block models ; Voronoi tessellation ; structure-type rockburst ; evolution mechanism ; particle flow code ; flat-joint model ; pre-grouting ; soft coal mass ; coal-grout structure ; shear behavior ; quality improvement ; rock strength ; tensile behaviour ; neuro-fuzzy ; regression ; non-destructive tests ; paste filling ; slicing mining ; false roof stability ; optimal false roof thickness ; tree-based techniques ; feature selection ; pile bearing capacity ; gradient boosted tree ; random forest ; in situ stress ; rock blasting ; crack propagation ; model test ; rheological deformation ; key stratum ; roadway groups ; roadway deformation ; surrounding rock control ; triaxial creep experiment ; cyclic loading and unloading ; elasto-visco-plastic strain ; irrecoverable strain ; tertiary creep stage ; nonlinear creep damage model ; high-altitude slope ; BP neural network ; freeze-thaw cycle ; geological conditions ; mining method ; soft broken complex ore body ; improved AHP ; comprehensive evaluation index ; blasting ; back-break ; SVM ; metaheuristic algorithms ; moth–flame optimization ; whale optimization algorithm ; tilted strata ; roadway ; nonuniform deformation ; physical simulation ; HFDEM ; numerical method ; rock fracture ; strain rate ; mining engineering ; backfill mining ; high-concentration backfill ; elastic modulus ; K-fold cross-validation ; mining ; rock engineering ; sensitivity analysis ; XGBoost ; limit equilibrium method (LEM) ; limit analysis ; accuracy ; slope stability ; homogenous slopes ; error accuracy classification chart ; physical and mechanical responses ; Egyptian granodiorite ; thermal damage threshold ; microstructure ; thermal constructions ; rock slope analysis ; limited analysis method ; numerical methods ; combined/hybrid finite–discrete element method ; FDEM ; non-renewable ; clean coal technology ; waste of resources ; “110 construction method” ; collapse settlement control ; moisture content ; dry–wet cycles ; cyclic loading ; injury mechanism ; acoustic emission RA-AF ; thermal effect prediction model ; uniaxial compressive strength ; static Young’s modulus ; artificial neural network ; multilinear regression ; rock mass ; hydraulic conductivity ; sustainability ; rock mechanics ; geotechnical engineering ; geomechanical engineering ; mining technology ; natural stones ; temperature ; fire ; thermal effect ; point load strength ; porosity ; color ; gloss ; automated mineral identification ; LBP ; classification ; texture feature ; liquefaction potential ; prediction ; Bayesian optimization ; support vector machines ; optimization ; Hoek–Brown criterion ; Mohr failure envelope ; Balmer’s equation ; limit equilibrium analysis ; modified Bishop approach ; active earth pressure ; unsaturated narrow backfill ; interlayer shear stress ; arching effect ; thin-layer element method ; tunnel excavation ; cut blasting method ; LLB method ; uncharged hole ; numerical simulation ; spectrum index ; water content ; hyperspectral information ; V-type firing pattern ; collision fragmentation ; RSA ; ANN ; coupled stress-hydro effect ; uniaxial loading ; infrared radiation ; warning threshold ; non-destructive monitoring ; alteration ; tunnel ; stress field ; deformation field ; plastic zone ; flyrock ; weathering index (WI) ; equilibrium optimizer (EO) ; particle swarm optimization (PSO) ; extreme learning machine (ELM) ; artificial neural network (ANN) ; high-water material ; seawater ; water-cement ratio ; strength ; mining method optimization ; difficult-to-mine complicated orebody ; multiple attribute decision making ; Pythagorean fuzzy sets and TOPSIS method ; mechanized upward horizontal layering method ; plateau alluvial-lacustrine deposits ; round gravelly soil ; large scale direct shear test ; shear strength parameters ; Erbil ; geotechnical characterization ; GIS ; ANFIS ; differential evolution ; firefly algorithm ; frozen rock mass blasting ; ice-filled crack ; explosion stress wave propagation ; attenuation factor ; UCS ; intelligent and statistical methods ; sedimentary rocks ; modulus of deformation ; RMR ; in situ testing ; modelling ; instrumentation ; failure risk ; element failure probability ; spatial variability ; stochastic groundwater level ; upper bound method ; rock joints ; shear strength ; scale effects ; normal stress ; JRC ; PFC simulation ; water inrush ; precursor ; strain energy ; normalized ; sustainable mine ; blast-induced flyrock ; LSSVM ; prediction models ; salt cavern ; underground gas storage ; continuum-discrete coupled method ; thermal-mechanical coupling ; thermal damage ; marble strength ; direct and indirect methods ; correlations analysis ; artificial intelligence techniques ; performance indicators ; resonant column test ; torsional simple shear test ; damping ratio ; steady-state vibration ; free vibration decay ; bibliometric analysis ; pile foundation ; sustainable structure ; VOS viewer ; Web of Science ; red clay ; desiccation cracking mechanism ; digital image correlation technology ; strain ; displacement ; mineral carbonation ; comminution energy ; stress–strain relationship ; elastic properties ; radial distribution function ; crown deformation ; underground caverns ; parametric study ; multiple linear regression ; twin tunnels ; 3D numerical analysis ; surface settlement ; field measurement ; geotechnical and geological conditions ; 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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  • 4
    Publication Date: 2024-01-08
    Description: This Special Issue delves into the strides made, challenges encountered, and research imperatives within the realm of Industrie 4.0 from both a scientific and practical standpoint. This publication features the voices of Industrie 4.0 pioneers Henning Kagermann and Wolfgang Wahlster, as well as leaders in research and industrial application of smart manufacturing concepts.
    Keywords: Industrie 4.0 ; intelligent manufacturing ; smart factories ; industrial artificial intelligence ; digital twins ; zero-defect manufacturing ; digital ecosystems ; China Manufacturing 2025 ; Industrial Internet ; Cloud Manufacturing ; digitalization ; small-medium enterprises ; new business models ; data democratization ; fourth industrial revolution ; smart manufacturing ; smart factory ; digital transformation ; industry ; sustainability ; sovereignty ; interoperability ; mass customization ; Industry 4.0 ; skills ; competencies ; bibliometric analysis ; survey ; Hungary ; maturity model ; transformation ; methodology ; Industry 4.0 strategy ; socio-technical system ; business transformation ; industrial implementation ; mergers and acquisitions ; knowledge management ; networking ; process management ; informational change ; scarce data ; machine learning ; information fusion ; development of work ; sociotechnical systems approach ; human-oriented work design ; D-SI ; DCC ; digital signature ; calibration ; servitization ; digital factory transformation ; smart services ; IoT ; AI ; internal services ; remote work ; COVID-19 ; investment ; n/a ; digital twin ; digital manufacturing ; multi-agent systems ; data architecture ; Logistics 4.0 ; digital transformation strategy ; urban planning and city operation ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas
    Language: English
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The 3D analysis of human movement aims to objectively and quantitatively assess motor functions and alterations. It is a valuable method for sport scientists, coaches, and clinicians to evaluate sport performance, common movements, and alterations. The feasibility of 3D analysis is increasing because it can be adopted both in a laboratory setting or directly in the field, in static or dynamic conditions, and for physiological or pathological movements. This evaluation technique can be adopted for many people, including children, adolescents, adults, and older people, whether they are sedentary or athletes and whether they are healthy or motor-impaired people.
    Keywords: virtual reality ; augmented reality ; lifelogging ; mirror world ; health ; posture training ; feedback ; COVID-19 ; neck-shoulder-region ; shoulder protraction ; upper crossed syndrome ; posture weakness ; physical inactivity ; sedentary behavior ; soccer ; climbing ; exhaustion ; fatigue ; training ; machine learning ; sports ; gender ; data mining ; artificial intelligence ; posture ; reproducibility ; mobile app ; movement ; kinesiology ; sport performance ; inertial sensor ; inertial sensor device ; inertial measurement unit ; training load ; external load ; physical demand ; handstand ; postural control ; postural balance ; sEMG ; stabilometric assessment ; exercise ; Nordic walking ; walking ; 3D kinematics ; biomechanics ; gait analysis ; kyphosis ; spinal mouse ; photogrammetry ; postural evaluation ; bicycle ; cyclists ; saddle pressure ; perineal pressure ; urogenital system ; injury prevention ; cervical ROM ; elastic taping ; neck pain ; musculoskeletal health ; n/a ; bic Book Industry Communication::M Medicine
    Language: English
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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: 2024-04-11
    Description: A high demand for metals (cobalt, copper, gold, lithium, nickel, tin, vanadium, etc.) has been recorded for the past several decades, and this demand is expected to increase even further in the coming decades as the world moves to low-carbon technologies based on renewable energy sources (RESs) and electric vehicles (EVs) and away from the heavy use of fossil fuels. To meet the high forecasted demand, unconventional sources of metals such as low-grade complex ores, seafloor massive sulfides (SMSs), and wastes (e.g., tailings, metallurgical residues, and electronic wastes (e-wastes)) have become very important sources of metals; moreover, these metals should be extracted in a sustainable manner without negatively impacting the environment. This Special Issue focused on recent advances in the sustainable production of metals from the above-mentioned unconventional sources.This reprint is a compilation of a Special Issue of Minerals, “Sustainable Production of Metals for Low-Carbon Technologies”, where 13 papers contributed by experts in the area were published. Papers published in this Reprint cover a wide range of topics, including mineral processing (gravity concentration, magnetic separation, and flotation), hydrometallurgical techniques (leaching, solvent extraction, and cementation) to extract minerals/metals from primary and secondary resources. All the papers are of high scientific value and will be of great interest to readers of Minerals.
    Keywords: flotation circuit ; gold ore ; diagnosis ; optimization ; mass balance ; process simulation ; printed circuit boards ; heat treatment ; strength ; liberation ; Cu recovery ; physical separation ; ferronickel slag ; sulfuric acid leaching ; light magnesium oxide ; rare earth elements ; magnetic separation ; upgradation ; Khalzan Buregtei deposit ; NiMH batteries ; rare earth metals ; leaching ; solvent extraction ; precipitation ; gold ; cementation ; galvanic interaction ; aluminum ; activated carbon ; kinetics ; ammonium thiosulfate solution ; mass transfer ; fluorine ; occurrence ; removal ; gravity-flotation separation ; lignite ; lead ; zinc ; Al metal powder ; zinc plant leach residues ; flotation ; copper sulfides ; tailings ; carrier flotation ; flocculation ; oil agglomeration ; complex sulfide ores ; sphalerite ; anglesite ; extraction ; lithium ion battery ; recycling ; carbothermic reduction ; graphite ; porphyry copper deposits ; chalcopyrite ; pyrite ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTU Mining technology and engineering
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: This reprint aims to identify critical areas of water quality assessment, modeling, and mitigation in freshwater bodies, wastewater treatment, and groundwater aquifers, which require special attention. This links the volume to multiple regulatory options, including policy and governance measures, alternative ecosystem service dependence options (i.e., nature-based solutions), or mechanisms that link regions to international processes, like measures proposed under the Environmental Protection guidelines. The reprint will pay special attention to water quality assessment, modeling, and mitigation.
    Keywords: pumping station pipeline ; chaotic characteristic ; IVMD ; vibration response ; correlation dimension ; Lyapunov exponent ; monitoring ; mitigations ; spatial and temporal variabilities ; principal component analysis ; cluster analysis ; discriminant analysis ; water quality ; pollution ; correlation ; settlement ; damage evolution ; seepage/stress-damage method ; data monitoring ; groundwater ; heavy metals ; physicochemical parameters ; in-situ ; machine learning ; geostatistical analysis ; nanofiltration ; electrocoagulation ; nickel ; zinc ; copper ; water pollution ; adsorption ; copper ions ; adsorption mechanism ; adsorption kinetics ; thermodynamics ; expanded S-curve model ; domestic water usage ; economic development ; mathematical model ; Sentinel-2 ; chlorophyll ; turbidity ; lake ; concentration modeling of contaminants ; Cuernavaca aquifer ; hydrochemistry ; water quality index ; time series analysis ; spatial analysis ; water intensity ; LMDI model ; Tapio model ; technical effect ; industrial structure effect ; regional scale effect ; tannery effluent ; ozonation ; optimization ; turbidity removal ; Taguchi ; ecosystem services ; provisioning ecosystem services ; regulating ecosystem services ; cultural ecosystem services ; supporting ecosystem services ; modeling ; water quality indexing ; 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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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The reprint, titled ”Sustainable Biopolymer-Based Composites: Processing, Characterization, and Application”, is composed of 32 scientific works of scholars that contributed their own expertise passion, and science to expand the boundaries of knowledge by addressing new challenges. The topic of new biopolymer-based composite materials is addressed from several aspects, from the development to characterization and application, in several fields of scientific interest.
    Keywords: biopolymer-treated soil ; Xanthan Gum ; Guar Gum ; soil strength ; durability ; cyclic wetting-drying ; biodegradability ; carbon nanotubes ; graphene ; life cycle analysis ; nanocomposites ; packaging ; remediation ; starch ; aging ; coarse wool fibre ; hybrid composites ; natural rubber ; PALF ; sisal fibre ; mulch films ; biopolymers ; SDGs ; plastic pollution ; polymers ; microfluidics ; lab-on-chip ; biomedical engineering ; drug carrier ; artificial cell ; 3D bioprinting ; hydrogel films ; gelatin ; antimicrobial activity ; food packaging ; TGA ; biocomposites ; renewable sources ; wood waste ; waste valorization ; primerless-wet bonding ; resin adhesive system ; hybrid layer ; tensile bond strength ; micro-seal ; luting resin ; dental prosthesis ; fixed prosthodontics ; bioplastics ; conventional polymers ; renewable resources ; LCA ; fish collagen ; fish industry waste ; collagen extraction ; nano collagen ; sustainability ; poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) ; cellulose nanofiber ; bionanocomposite ; melt-extrusion processing ; optimization ; response surface methodology ; acrylonitrile butadiene rubber ; fish scale ; bis(triethoxysilylpropyl)tetrasulfide ; composite ; compatibilizer ; collagen biopolymer ; unicornfish bone ; acid extraction ; characterization ; biocompatible ; biodegradable ; scaffolds ; tissue engineering ; lignin biopolymer ; erosion ; triaxial test ; wetting and drying cycles ; silt ; green macroalga ; red sea ; Chaetomorpha linum ; cellulose nanocrystals ; green silver nanoparticles ; bio-nanocomposite films ; optical properties ; Torenia fournieri ; zinc oxide nanoparticle ; smart packaging sensors ; wound healing ; biodegradable plastic ; circular economy ; pineapple ; tensile strength ; silver nanoparticles ; green synthesis ; Piper betle L. leaf ; pig lining leather ; antibacterial activity ; antifungal activity ; polylactic acid (PLA) ; spent coffee grounds (SCG) ; rheological properties ; mechanical properties ; chitosan ; nanofiber ; preparation ; applications ; wound dressing ; acetylation ; flour ; physicochemical properties ; modification ; wound dressings ; hydrogel ; honey ; natural polymer ; synthetic polymer ; PLA ; biodegradation ; sports equipment manufacturing ; arrowroot starch ; heat-moisture treatment ; octenylsuccinilation ; dual-modification ; functional properties ; glabridin ; 3-O-Ethyl-L-ascorbic acid ; tranexamic acid ; microneedles ; pigmentation ; multifunctional drug ; hydrophilic bioplastics ; gum Arabic ; polyvinyl alcohol ; casting of poly-(methyl methacrylate) ; dehydration ; phosphorus pentoxide ; peeling ; microbial biodegradation ; green composites ; stem fiber ; crystallinity ; thermal behavior ; reinforcement material ; pineapple leaf fiber ; flax ; poly(butylene succinate) ; unidirectional composites ; microstructure ; sustainable materials ; epoxy resin ; Schiff base ; epoxidized soybean oil ; epoxy vitrimer ; reprocessability ; recyclability ; agroindustrial wastes ; biomaterials ; cellulose ; lignocellulosic biomass ; polylactic acid ; coir fiber ; bamboo leaf fiber ; annealing ; biocomposite ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering
    Language: English
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Cybersecurity attacks are increasing in sophistication and intensity and are known to have a disruptive effect on organizations and society. This reprint contains a range of papers that address various issues relating to the problem, and insights are provided into how cybersecurity awareness can be increased and how organizations can be made less vulnerable to attacks. The solutions put forward will help staff to utilize technology better and devise methodological approaches that when operationalized, help defend the organization’s networks and computer systems from cyber-attacks.
    Keywords: Cybersecurity ; machine learning ; networks ; threat detection ; 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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  • 11
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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
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  • 12
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The Special Issue entitled “Advances in Rock Mechanics and Geotechnical Engineering” is devoted to the publication of the latest research, field works, and laboratory investigations in the area of rock mechanics and geotechnical engineering. This Special Issue has published novel contributions in different areas of geotechnical and geomechanical engineering such as slope and embankment, tunneling and underground space technologies, pile and foundation, rock mechanics and rock blasting, excavation and leveling projects, ground improvement techniques, unsaturated soil, practical issues in soft soil, mining technology, geo-environmental engineering, new laboratory testing, applied geology for construction, and novel geotechnical construction methods. The focus of this reprint is on the development of computational methods for solving problems in the fields of rock mechanics and geotechnical engineering.
    Keywords: strength prediction ; brittle rock ; grain-structure representation ; micro-properties ; bonded block models ; Voronoi tessellation ; structure-type rockburst ; evolution mechanism ; particle flow code ; flat-joint model ; pre-grouting ; soft coal mass ; coal-grout structure ; shear behavior ; quality improvement ; rock strength ; tensile behaviour ; neuro-fuzzy ; regression ; non-destructive tests ; paste filling ; slicing mining ; false roof stability ; optimal false roof thickness ; tree-based techniques ; feature selection ; pile bearing capacity ; gradient boosted tree ; random forest ; in situ stress ; rock blasting ; crack propagation ; model test ; rheological deformation ; key stratum ; roadway groups ; roadway deformation ; surrounding rock control ; triaxial creep experiment ; cyclic loading and unloading ; elasto-visco-plastic strain ; irrecoverable strain ; tertiary creep stage ; nonlinear creep damage model ; high-altitude slope ; BP neural network ; freeze-thaw cycle ; geological conditions ; mining method ; soft broken complex ore body ; improved AHP ; comprehensive evaluation index ; blasting ; back-break ; SVM ; metaheuristic algorithms ; moth–flame optimization ; whale optimization algorithm ; tilted strata ; roadway ; nonuniform deformation ; physical simulation ; HFDEM ; numerical method ; rock fracture ; strain rate ; mining engineering ; backfill mining ; high-concentration backfill ; elastic modulus ; K-fold cross-validation ; mining ; rock engineering ; sensitivity analysis ; XGBoost ; limit equilibrium method (LEM) ; limit analysis ; accuracy ; slope stability ; homogenous slopes ; error accuracy classification chart ; physical and mechanical responses ; Egyptian granodiorite ; thermal damage threshold ; microstructure ; thermal constructions ; rock slope analysis ; limited analysis method ; numerical methods ; combined/hybrid finite–discrete element method ; FDEM ; non-renewable ; clean coal technology ; waste of resources ; “110 construction method” ; collapse settlement control ; moisture content ; dry–wet cycles ; cyclic loading ; injury mechanism ; acoustic emission RA-AF ; thermal effect prediction model ; uniaxial compressive strength ; static Young’s modulus ; artificial neural network ; multilinear regression ; rock mass ; hydraulic conductivity ; sustainability ; rock mechanics ; geotechnical engineering ; geomechanical engineering ; mining technology ; natural stones ; temperature ; fire ; thermal effect ; point load strength ; porosity ; color ; gloss ; automated mineral identification ; LBP ; classification ; texture feature ; liquefaction potential ; prediction ; Bayesian optimization ; support vector machines ; optimization ; Hoek–Brown criterion ; Mohr failure envelope ; Balmer’s equation ; limit equilibrium analysis ; modified Bishop approach ; active earth pressure ; unsaturated narrow backfill ; interlayer shear stress ; arching effect ; thin-layer element method ; tunnel excavation ; cut blasting method ; LLB method ; uncharged hole ; numerical simulation ; spectrum index ; water content ; hyperspectral information ; V-type firing pattern ; collision fragmentation ; RSA ; ANN ; coupled stress-hydro effect ; uniaxial loading ; infrared radiation ; warning threshold ; non-destructive monitoring ; alteration ; tunnel ; stress field ; deformation field ; plastic zone ; flyrock ; weathering index (WI) ; equilibrium optimizer (EO) ; particle swarm optimization (PSO) ; extreme learning machine (ELM) ; artificial neural network (ANN) ; high-water material ; seawater ; water-cement ratio ; strength ; mining method optimization ; difficult-to-mine complicated orebody ; multiple attribute decision making ; Pythagorean fuzzy sets and TOPSIS method ; mechanized upward horizontal layering method ; plateau alluvial-lacustrine deposits ; round gravelly soil ; large scale direct shear test ; shear strength parameters ; Erbil ; geotechnical characterization ; GIS ; ANFIS ; differential evolution ; firefly algorithm ; frozen rock mass blasting ; ice-filled crack ; explosion stress wave propagation ; attenuation factor ; UCS ; intelligent and statistical methods ; sedimentary rocks ; modulus of deformation ; RMR ; in situ testing ; modelling ; instrumentation ; failure risk ; element failure probability ; spatial variability ; stochastic groundwater level ; upper bound method ; rock joints ; shear strength ; scale effects ; normal stress ; JRC ; PFC simulation ; water inrush ; precursor ; strain energy ; normalized ; sustainable mine ; blast-induced flyrock ; LSSVM ; prediction models ; salt cavern ; underground gas storage ; continuum-discrete coupled method ; thermal-mechanical coupling ; thermal damage ; marble strength ; direct and indirect methods ; correlations analysis ; artificial intelligence techniques ; performance indicators ; resonant column test ; torsional simple shear test ; damping ratio ; steady-state vibration ; free vibration decay ; bibliometric analysis ; pile foundation ; sustainable structure ; VOS viewer ; Web of Science ; red clay ; desiccation cracking mechanism ; digital image correlation technology ; strain ; displacement ; mineral carbonation ; comminution energy ; stress–strain relationship ; elastic properties ; radial distribution function ; crown deformation ; underground caverns ; parametric study ; multiple linear regression ; twin tunnels ; 3D numerical analysis ; surface settlement ; field measurement ; geotechnical and geological conditions ; 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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  • 13
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Biomaterials are natural or artificial materials used to manufacture implants to replace lost or diseased biological structures in order to restore form and function. Biomaterials that require long-term service, such as orthopedic implants, need good physical and chemical stability, such as stainless steel and titanium alloys. The application of metal in biomedicine is becoming more and more common, but due to its various limitations, it is often necessary to modify its surface to obtain better performance and better clinical application. There are many technologies for the surface modification of medical metals, such as laser surface modification, chemical treatment, plasma surface modification, etc., and these technologies are still being developed to meet market demand. This reprint will provide important contributions related to the announced topics, focusing on biomedical metals and the surface modification technologies of biomedical metals.
    Keywords: titanium ; surface modification ; surface topographies ; multifunctional surfaces ; metamaterials ; 4D printing ; ZK60 magnesium ; micro-arc oxidation ; atmospheric plasma spraying ; corrosion ; additive manufacturing ; porous titanium ; implant coatings ; antibacterial agent ; laser cladding ; Ca/P bio-ceramic coating ; biocompatibility ; bioactivity ; wear resistance ; magnetite ; conversion coating ; optimization ; invitro cytotoxicity ; beta titanium alloy ; elastic modulus ; corrosion property ; osseointegration ; Ti-matrix composites (TMCs) ; graphene oxide (GO) ; mechanical properties ; reinforcement ; laser-induced periodic surface structures ; femtosecond laser processing ; functional surfaces ; application ; composite ; 3D printing ; bioresorbable Fe-Cu-hydroxyapatite composite ; titanium alloy ; phosphate layer ; biomaterial ; zinc phosphate ; scholzite ; PVA films ; boric acid ; polyhexamethylene guanidine hydrochloride ; antimicrobial properties ; surface treatment ; titanium alloys ; microstructure ; physicochemical properties ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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  • 14
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-24
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; n/a ; thema EDItEUR::C Language and Linguistics
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  • 15
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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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  • 16
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The eradication of vector-borne diseases is threatened by the limited range of available insecticides, leading, inevitably, to the development of resistance. This is particularly concerning for malaria control, which relies heavily on insecticide-treated nets (ITNs) and indoor residual sprays (IRS). New chemistries are being developed, and innovative deployment of insecticides may play a role in overcoming resistance, either through new types of tools or new means of distribution. A variety of novel product types and vector control strategies are under development and evaluation, which is to be celebrated, but a strong evidence base is needed to guide effective operational deployment decisions. Novel approaches should be supported by robust data collected using appropriate and validated methods to monitor efficacy, durability, and any emerging resistance. This reprint presents original research into developing and characterizing new vector control products, as well as understanding and monitoring insecticide resistance. Review articles explore the impact of insecticide resistance and offer guidance on insecticide choice in the face of pyrethroid resistance. Consensus methodologies are presented, in the form of standard operating procedures (SOPs) designed to be adopted and used to generate reproducible data that can be compared and interpreted across and between studies. It is hoped that this collection of articles offers inspiration and guidance on how consistent data can be generated to inform more effective development, evaluation, and use of new and existing vector control tools.
    Keywords: prallethrin ; insecticide ; spatial treatment ; mosquito fitness ; protection ; pyrethroids ; Aedes albopictus ; Culex pipiens ; life tables ; mosquito ; bite-proof garment ; model ; textile ; non-insecticidal ; physical barrier ; insecticide selection ; out-crossing ; strain authentication ; laboratory screening ; pyrethroid ; pyrethroid resistance ; insecticide resistance ; insecticide resistance management ; vector control ; malaria ; malaria control ; Anopheles ; host-seeking behavior ; insecticide exposure ; pathogen transmission ; Aedes aegypti ; Anopheles gambiae ; ATSB ; Culex quinquefasciatus ; Iroquois ; RNAi ; Saccharomyces cerevisiae ; yeast ; Anopheles mosquito ; fertility ; ovary development ; pyriproxyfen (PPF) ; side-effects ; machine learning ; image classification ; automated identification ; convolutional neural network ; insecticide-treated net (ITN) ; PBO ITN ; synergist ITN ; dual-AI ITN ; insecticide resistance management (IRM) ; method validation ; durability monitoring ; bioinsecticide ; disease transmission ; insecticide-resistance ; mosquito-borne disease ; mosquito control ; natural compounds ; phytochemical ; malaria vector ; insecticide treated nets ; cytochrome P450s ; kdr ; cuticular resistance ; deltamethrin ; imidacloprid ; bifenthrin ; β-cyfluthrin ; etofenprox ; α-cypermethrin ; λ-cyhalothrin ; thiacloprid ; mosquitoes ; Attractive Toxic Sugar Bait (ATSB) ; Attractive Targeted Sugar Bait (ATSB) ; diagnostic bioassay ; resistance monitoring ; insecticide-treated nets (ITN) ; strain characterisation ; method development ; product evaluation ; quality control (QC) ; dual active ingredients (dual-AI) ; bioefficacy ; IRS ; application technology ; broflanilide ; clothianidin ; pirimiphos-methyl ; WHO tube ; WHO tunnel test ; ITNs ; interceptor ; interceptor G2 ; membrane ; human arm ; rabbit ; bioassay ; bio-efficacy ; 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::PSB Biochemistry
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  • 17
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The Special Issue “Demand Response in Smart Grids” includes 11 papers on a variety of topics. The success of this Special Issue demonstrates the relevance of demand response programs and events in the operation of power and energy systems at both the distribution level and at the wide power system level. This reprint addresses the design, implementation, and operation of demand response programs, with focus on methods and techniques to achieve an optimized operation as well as on the electricity consumer.
    Keywords: demand response ; population evolution ; irrational behavior ; Markov state ; non-cooperative game ; solid electric thermal storage ; cyber–physical model ; K-means ; support vector machine ; neural network ; data analysis ; demand response (DR), load profile clustering ; k-means ; targeting of customer ; aggregator ; ramp period ; real-time simulation ; multi-objective optimization ; social welfare metrics ; energy allocation ; load disaggregation ; percentage total harmonic distortion and non-intrusive identification of load pattern ; charging strategy ; optimization ; electricity pricing ; electric vehicle ; flexibility ; flexibility market ; home energy management system ; energy flexibility ; industrial energy management ; demand side management ; control approaches ; energy management ; optimization method ; objective function ; control constraints ; Demand Response ; dynamic thermal rating ; hosting capacity ; transformer ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 18
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This Special Issue includes 14 contributions, with 2 review contributions and 12 research contributions. The review contributions provide a survey with an overview of the state of the art in detecting and projecting cyber-attack scenarios, and the review of a specific application area, the safety of autonomous haulage systems in the mining environment related to both cybersecurity and communication. 10 research contributions are addressing the area of advanced services for intrusion detection systems: (a) the use of different machine learning models depending on the specific scenarios and datasets; (b) the use of deep learning techniques for the detection of zero-day attacks; (c) a proposal of an integrated scalable framework aimed at efficiently detecting anomalous events on large amounts of unlabeled data logs; (d) a spatiotemporal characterization of cyber-attacks for detecting such attacks; (e) a two-stage intrusion detection system for industrial control networks; (f) a chatbot for detecting online sex offenders, based on an artificial conversational entity (ACE); and (g) an open-source platform for manipulating both streaming and archived network flow data in real time. This Special Issue also contains two protection-related research contributions, including: (a) a countermeasure for on–off web defacement attacks and (b) the evaluation of multi-path routing as a protection feature against network attacks and failures.
    Keywords: cybersecurity ; machine learning ; intrusion detection ; cybersecurity awareness&nbsp ; 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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  • 19
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: The diversity of wood and non-wood forest products is enormous and reflected in their anatomical, physical and chemical properties as well as their potential applications. Special attention should be given to lesser-known species and even to invasive species, which may be profitable when properly managed, thereby decreasing the overexploitation of threatened species. Besides the market importance of stem wood, other tree components and non-wood forest products, often regarded simply as forest residual materials, are valuable forest resources with various potential applications that can strengthen the circular economy. Assessing the characteristics of these diverse materials, such as their structure and anatomy as well as their physical and chemical properties, is fundamental for evaluating their potential and increasing high-quality end-uses. This knowledge will also contribute to sustainable forest management with enhanced forest diversity and species conservation in addition to the reinforcement of certification and environmental policies.
    Keywords: Calamus zollingeri ; Calamus ornatus ; dynamic vapor sorption ; basic density ; volumetric swelling ; white rot ; mold ; Quercus suber L. ; seasonal variation ; cuticular waxes ; leaves ; new species ; morphology ; wood ; properties ; chemical composition ; spectroscopy ; chemometrics ; unconventional species ; Quercus suber ; cork borer ; cork ; phenolics ; tropical species ; wood anatomy ; wood density ; wood color ; multivariate analysis ; species diversity ; dark-brown zone ; lenticular filling tissue ; quantitative anatomical characteristics ; Quercus variabilis ; reproduction cork ; scanning electron microscopy ; sclereid ; virgin cork ; Cytisus scoparius ; liquefied ; optimization ; eco-valorization ; agro-industrial residues ; Asparagaceae ; lignocellulose ; crystalline cellulose ; syringyl/guaiacyl ; anatomy ; Tilia amurensis Rupr. ; Tilia mandshurica Rupr. & Maxim. ; branch ; wood properties ; papermaking material ; tropical timber ; color parameters ; mid-infrared spectroscopy ; FTIR ratios ; environmental factors ; West African Sahel ; Cupressus funebris Endl. wood ; wood knots ; physical properties ; wood color properties ; 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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  • 20
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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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  • 21
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: A collection of 18 scientific papers written in honor of Professor Karlheinz Schwarz's 80th birthday. The main topics include spectroscopy, excited states, DFT developments, results analysis, solid states, and surfaces.
    Keywords: density functional theory ; Coulomb systems ; excited states ; nodal variational principle ; DFT ; anatase TiO2(101) surface ; adsorption energy ; Bader charge ; helium atom ; screened Coulomb potential ; variational Monte Carlo method ; Lagrange mesh method ; comparison theorem ; TD-DFT ; MC-PDFT ; Lie–Clementi ; Colle–Salvetti ; OLEDs ; subphthalocyanines ; UV–visible spectra ; axial substituents ; peripheral substituents ; time-dependent DFT ; hexatetra-carbon ; electrical properties ; molecular aggregates ; singlet excitons ; triplet excitons ; TDDFT ; charge-transfer states ; charge-resonance states ; Frenkel states ; localized excitations ; diabatic states ; adiabatic states ; semiconductors ; oscillator strength ; hybrid exchange-correlation functional ; non-local potential ; statistics ; methods comparison ; benchmarking ; band gaps ; atomization energy ; DFT codes ; electronic structure calculation ; numerical accuracy and precision ; kinetic functional ; Yukawa potential ; periodic DFTB ; deMonNano ; graphene ; graphite ; benzene dimers ; deposited benzene ; supported clusters ; weighted mulliken charges ; LAPW method ; APW+lo method ; all-electron DFT ; density matrix functional embedding ; density-functional theory ; householder transformation ; He atomic basis sets ; helium dimer ; He2 potential well ; correlation energy ; complete basis set ; sigma basis set ; atomic multiplet theory ; crystal/ligand-field theory ; coordination compounds ; electronic structure ; Cu2OCl2 ; Cu2OBr2 ; Cu2OI2 ; oxyhalides ; magnetic couplings ; Néel temperature ; chemical pressure ; NMR ; machine learning ; zeolites ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry::PNR Physical chemistry
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  • 22
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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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  • 23
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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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  • 24
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Analytical chemistry is bound to face growing challenges in the future, especially for the quantification of trace analytes in complex matrices. Although the development of increasingly sensitive and specific instrumental techniques has achieved remarkable results, sample preparation is still a fundamental step, often limiting the whole workflow. In the context spawned by the recent international environmental policies that are responsive to the rapport of human activities with the surrounding environment, chemistry cannot hesitate to give its contribution. Almost pioneeringly, in analytical chemistry, we have been talking for some time about “green analytical chemistry”, its guiding principles, and the development of eco-friendly analytical approaches. However, the new and still open challenge is advance not only in eco-compatibility but mainly in eco-sustainability, rooting the future of analytical chemistry in new perspective aimed at minimizing the environmental impact of the analytical process by placing environmental cost as a priority aim on par with analytical performance. This is the reprint of a Special Issue that includes contributions focused on the progress in analytical chemistry based on the arguments previously raised and discussed, with a particular reference to eco-compatibility and eco-sustainability. The contributions include the development of low environmental impact methods and/or techniques or their applications.
    Keywords: dyes ; fatty acids ; microextraction ; magnetic ionic liquid ; sample preparation ; dispersive liquid–liquid microextraction ; single drop microextraction ; GC ; HPLC ; ionic liquids ; denitrogenation ; extraction ; pyridine ; quinoline ; aniline ; simulated oil ; adsorption ; gum Arabic ; magnetite ; nano-composite ; lead(II) ; mercury removal ; magnetic ; manganese ; cobalt ; iron ; spinel ; crosslinker ; phenolic acids ; vinylimidazole ; anion exchanger ; co-polymer ; solid-phase extraction ; sustainable analytical sample preparation ; indoor air quality ; fragrances ; indoor pollution ; endocrine disruptors ; analytical method ; GC-MS ; musks fragrances ; emerging contaminants ; α-isomethylionone ; halloysite nanotubes ; organosilyl-sulfonated halloysite nanotubes ; solid phase extraction ; pyrrolizidine alkaloids ; honey ; chlorzoxazone ; greener HPTLC ; paracetamol ; simultaneous detection ; validation ; AGREE ; traditional HPTLC ; vitamin D3 ; pulsed electric field ; bioactive compounds ; optimization ; mushrooms ; Agaricus bisporus ; phenyboronic-acid-functionalized ; Fe3O4 magnetic nanoparticles ; ortho-dihydroxy-containing compounds ; n/a ; 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: This book focuses on fundamental and applied research on construction project management. It presents research papers and practice-oriented papers. The execution of construction projects is specific and particularly difficult because each implementation is a unique, complex, and dynamic process that consists of several or more subprocesses that are related to each other, in which various aspects of the investment process participate. Therefore, there is still a vital need to study, research, and conclude the engineering technology and management applied in construction projects. This book present unanimous research approach is a result of many years of studies, conducted by 35 well experienced authors. The common subject of research concerns the development of methods and tools for modeling multi-criteria processes in construction engineering.
    Keywords: earned value method—EVM ; time variances ; cost variances ; schedule ; cadastre ; land surveyor ; construction surveying ; building layout ; polar coordinates ; stake-out methods ; total station ; construction reports ; construction contracts ; natural language processing ; machine learning ; simulation modeling ; bridge expansion and contraction installation (BECI) ; decision making (DM) ; technical condition assessment ; analytic hierarchy process (AHP) ; whale optimization algorithm ; Tent chaotic mapping ; Lévy flight ; resilience ; baseline schedule ; uncertainty ; taxonomy ; construction project ; PERT ; theory of constraint (TOC) ; drum-buffer-rope (DBR) ; construction schedule ; monitoring progress ; construction phase ; automated monitoring ; digital tools ; as-built ; as-planned ; efficiency ; risk ; randomization ; association analysis ; tabu search ; delay ; time schedules ; project risk ; construction project management ; Time-at-Risk (TaR) ; investment-construction process model ; Monte Carlo simulation ; decision-making process ; decision modelling in construction activities ; decisions in civil engineering ; liquid cooling system ; flow calibration ; differential pressure ; experimental method ; aircraft ; building information modelling (BIM) ; automatisation ; facilities design ; domestic plumbing and sanitation ; management ; project cost ; investment schedule ; risk mitigation ; randomness ; fuzziness ; health and safety control ; 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: Civil engineering structures may vibrate due to different sources of excitations such as earthquakes, wind, traffic, humans, etc. The resulting vibrations may not be acceptable from the perspective of vibration comfort or can even impair the structure's safety. Depending on the excitation mechanism, anti-vibration measures range from increasing the structural damping using local dampers, decoupling the structure from the disturbance using vibration isolators and compensating for the excitation forces using vibration compensators. The Special Issue "Efficient Damping and Isolation Systems for Civil Structures" presents some of the recent advances in the associated fields of research and development.
    Keywords: isolation ; high damping rubber bearing ; low shape factor ; performance test ; experiment ; three-dimensional (3D) seismic isolation ; vertical seismic isolation device ; disc spring ; helical coil spring ; steel damper ; laminated rubber bearing ; seismic energy dissipation ; nuclear power plant equipment ; seismic isolation frequency ; hysteretic behavior ; cable ; control ; damping ; semi-active ; negative stiffness ; vibration ; liquid storage tank ; MetaFoundation ; time domain analysis ; earthquake ; passive control ; stop band ; suspended ceiling systems ; passively controlled structure ; pulley tackle mechanism ; shake table test ; simulation analysis ; tower-like structures ; tuned liquid gas damper ; elastic membrane ; gas spring ; gas volume ; SA-TLGD ; TLCGD ; TLCD ; TMD ; inerter ; optimization ; TMDI ; vibration mitigation ; tuned sloshing damper ; TSD ; tuned mass damper ; numerical simulation ; coupled simulation ; computational wind engineering ; CWE ; hysteresis ; internal resonances ; nonlinear modal interaction ; 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: 2023-01-05
    Description: The papers published in this Special Issue report on recent studies investigating the exploitation of by-products produced by the food industry. The topics investigated include the extraction setups used for valuable food waste by-products and their applications as adjuncts to food preparation; the appropriate selection of solvents and extraction processes; and the interactions between extracted fractions and supplementary foods. The papers evaluate a wide variety of foodstuffs and provide results regarding the extension their shelf-lives and activities as functional foods.
    Keywords: by-product ; rheological properties ; optimization ; melting profile ; antioxidant activity ; mayonnaise ; olive mill wastewater ; oxidative stability ; phenolic extract ; pork ; fatty acid ; amino acid ; mineral ; meat ; sustainability ; spent biomass ; prebiotic potential ; enzymatic digestion ; biorefinery ; circular economy ; by-products ; ovine scotta ; bioactive peptides ; bromelain ; pancreatin ; dipeptidyl peptidase IV inhibition ; ovine second whey cheese ; enzymatic hydrolysis ; wasted bread ; bioprocessing ; lactic acid bacteria ; soil amendment ; byproducts ; vegetable oil industry ; phenolics ; flavonoids ; photochemiluminescence ; cold-pressed oil by-product ; gum ; thixotropic behavior ; low-fat vegan mayonnaise ; thickeners ; gelling agents ; tomato pomace ; lycopene ; β-carotene ; extraction ; food by-products ; deep eutectic solvents ; non-thermal drying ; stilbene ; vine shoots ; viticulture waste ; trans-resveratrol ; ε-viniferin ; Italian varieties ; no-waste ; omega-3 ; smart sensors ; reuse ; fish oil industry ; recovery ; chemometrics ; lipid profile ; aquafaba ; cold-pressed oils ; confocal laser scanning microscopy ; egg replacement ; physicochemical properties ; radical scavenging activity ; vegan mayonnaise ; Amberlite resin ; hazelnut skin ; polyphenols ; Pinot noir pomace ; solid–liquid extraction ; valorization ; fatty acids ; derivatization ; cranberry pomace ; dietary fiber ; technological properties ; kiwi byproducts ; probiotic ; prebiotic ; Lactobacillus casei ; ingredients ; functional foods ; microbial spoilage ; lipidic oxidation ; antioxidant ; predictive microbiology ; food preservation ; food safety ; sustainable strategy ; by-product reuse ; kinetic parameters ; Olea europaea ; waste reuse ; inulin ; high polymerization degree ; functional pasta ; glycemic index ; prebiotics growth ; 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 sustainable development of our planet depends on the use of energy. The increasing world population inevitably causes an increase in the demand for energy, which, on the one hand, threatens us with the potential to encounter a shortage of energy supply, and, on the other hand, causes the deterioration of the environment. Therefore, our task is to reduce this demand through different innovative solutions (i.e., both technological and social). Social marketing and economic policies can also play their role by affecting the behavior of households and companies and by causing behavioral change oriented to energy stewardship, with an overall switch to renewable energy resources. This reprint provides a platform for the exchange of a wide range of ideas, which, ultimately, would facilitate driving societies toward long-term energy efficiency.
    Keywords: natural resources ; globalization ; energy ; nonparametric causality in quantiles ; energy security ; power market ; near-zero emission technologies ; oxy-fuel combustion cycles ; emission rights sales mechanism ; economic assessment ; Oil Companies ; innovations ; investments in R&amp ; D ; forecasting the Innovation activities ; industry 4.0 ; Agenda 2030 ; sustainable human development ; measuring development ; energy sustainability ; indirect measurement ; composed indexes ; forecasting ; linear regression ; planning ; polynomial regression ; power supply ; green building ; housing projects management ; sustainable construction ; renewable energy sources ; real estate developers ; deviation ; energy dependence ; energy efficiency management ; energy saving ; cost ; risk limit ; energy industry ; energy supply ; energy intensity ; energy efficiency ; energy industry risks ; dilemma ; development ; Kazakhstan ; energy transitions ; Latin America ; power system ; sustainability ; economic growth ; pollution ; renewable energy ; oil and gas industry ; investments ; rating ; competitiveness ; financial analysis ; risk ; profitability ; merchandising technologies ; correlation ; scenario ; social development ; optimization ; investment ; financial portfolio ; financial leverage ; integral rating ; industry rating ; high-tech company ; decision-making ; minimax ; 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: 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: This overview of the most recent advances in the field of SMA research and applications in civil engineering aims to help remove the knowledge barriers across disciplines and sheds considerable light on the opportunity to commercialize SMA products in the construction industry.
    Keywords: seismic analysis ; rocking pier ; shape memory alloy ; ECC material ; bridge engineering ; television transmission tower ; seismic excitation ; shape memory alloy damper ; parametric study ; vibration control ; shape memory alloys ; engineered cementitious composites ; composites materials ; self-recovery capacity ; bending behavior ; machine learning ; artificial neural networks ; superelastic ; parameter identification ; constitutive model ; thermodynamic parameters ; shape memory alloy (SMA) ; self-centering SMA brace ; loading rate ; initial strain ; energy dissipation coefficient ; self-centering ; beam-column joints ; seismic performance ; iron-based shape memory alloy (Fe-SMA) ; shape memory effect ; martensitic transformation ; prestressing ; low cycle fatigue ; seismic ; damping ; transmission tower ; wind excitation ; SMA damper ; energy response ; viscoelastic ; brace ; hybrid control ; seismic resilience ; self-centering rocking (SCR) piers ; seismic fragility ; resilience ; life-cycle loss ; ferrous shape memory alloys ; prestress ; recovery stress ; relaxation ; thermomechanical behavior ; fatigue ; active materials ; low-cost SMAs ; civil engineering applications ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: We are honored to announce this reprint, containing contributions from the top experts in the field of logic and fuzzy logic. In total, this reprint consists of 10 papers that were selected from more than 20 submissions. The 10 papers comprising the reprint are the product of re-known experts in fuzzy logic from all over the world, such as Canada, Poland, China, Slovakia, Lithuania, Turkey, Pakistan, Germany, Serbia, Portugal, Taiwan, Norway, India, Saudi Arabia, Thailand, and Mexico. We expect that the papers comprising the Special Issue will contribute to an advancement in the state of the art in the fields of logic and also fuzzy logic.
    Keywords: fuzzy-sets ; fuzzy-random variables ; distribution generating function ; fuzzy binomial distribution ; Fuchs distribution ; MADM ; Aczel–Alsina operations ; IVIFNs ; IVIF Aczel–Alsina geometric aggregation operators ; interval type-3 fuzzy theory ; fuzzy control ; manufacturing ; Vietè’s method ; Newton–Raphson method ; regula falsi method ; testing of algorithms ; foundations of mathematics ; arithmetic ; set theory ; spatial fuzzy C-means ; COVID-19 ; rustbelt states ; extrapolation ; interpolation ; proving ; refuting ; improving ; fuzzy set ; linear Diophantine fuzzy sets ; linear Diophantine fuzzy relations ; level cut relations ; rough approximations on two universes ; decision analysis ; multi-valued logic trees ; hydraulic proportional valve ; weighting factors ; optimization ; granular computing ; formal concept analysis ; intuitionistic fuzzy sets ; periodicity ; spatial and temporal aspects ; knowledge discovery ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint focuses on the current progress in sports medicine, with a specific interest in surgery, exercise therapy, and multi-disciplinary research. With the advancement of society, more attention is paid to the quality of life, which emphasizes the importance of sports and exercise. Correspondingly, there is a great need for sports medicine. This issue collected novel findings on sports medicine in surgery, conservative therapy, and the application of exercise training in other disorders
    Keywords: shoulder ; rotator cuff ; allografts ; demineralized bone matrix ; biologics ; diabetes mellitus ; aerobic training ; resistance training ; vascular function ; meta-analysis ; femoroacetabular impingement ; hip arthroscopy ; longitudinal capsulotomy ; femoroplasty ; labrum repair ; degenerative lumbar diseases ; albumin-to-alkaline phosphatase ratio ; spinal fusion rate ; prognostic marker ; arterial hypertension ; exercise hypertension ; blood pressure ; exercise testing ; sports injuries ; machine learning ; injury prediction ; sports monitorization ; elite football ; performance ; systemic inflammation ; physical endurance ; physical fitness ; maximal aerobic capacity ; gingivitis ; cardiac rehabilitation ; exercise therapy ; balance exercises ; cardiovascular diseases ; ACLR ; hamstring tendon with preserved tibial insertion ; MRI ; T2 ; cartilage volume ; gait retraining ; running-related injuries ; kinetics ; kinematics ; rehabilitation ; rotator cuff tear ; rotator cuff repair ; bone quality ; osteopenia ; osteoporosis ; anchor pullout ; pullout strength ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Various molecular techniques based on omics (transcriptomics, proteomics, genomics) and phylogenetics have been applied in biological sciences. Molecular dynamics and approaches evolved over time into various quantitative tools that allow researchers from multiple disciplines to design different studies. The molecular-based techniques can be comprehensive and systematic, as they allow identification, resolve genetic differences, molecular docking, and prediction models of ecological niches and taxonomic ranks. Investigating genomics, proteomics, and phylogenetic techniques utilize a novel class of DNA elements, such as microsatellites from mitochondria and chloroplast and retrotransposons, resulting in genetic variations using molecular data. In addition to this, the advantages and limitations of molecular approaches have been well studied and acknowledged. The combination of molecular phylogenetic and omics techniques and expression and pathways analysis may greatly increase our capacity to understand and develop new molecular mechanisms and stress responses in biological systems. Furthermore, these techniques offer extensive opportunities for researchers to develop targeted therapy approaches and disease diagnoses using molecular data. It is necessary to evaluate and explore how data from diverse molecular techniques can be applied to different biological studies. The study and applications of molecular approaches hold significant potential for advancing genomics, proteomics, and phylogenetic techniques in biological sciences.
    Keywords: autophagy-related protein ; degradation ; ubiquitin ; proteasome ; autophagy ; Bacillus thuringiensis ; Cry toxin ; nematicidal activity ; pore-formation ; diabetes ; vaccines ; clinical trials ; insulin ; GLP ; nitric oxide ; antioxidants ; metal-stress related transcripts ; rice ; Pb-stress ; Aurisin A ; beta-cyclodextrins ; inclusion complex ; lung cancer ; ruxolitinib ; JAK inhibitor ; rheumatoid arthritis ; molecular modeling ; TOR ; photosynthesis ; cell growth ; AZD8055 ; Auxenochlorella pyrenoidosa ; ovarian cancer ; somatic BRCA mutational status ; digital pathology ; machine learning ; artificial intelligence ; super-secondary structure ; 3β-corner ; folding nuclei ; structure stability ; H Ferritin subunit ; PRDX6 ; protein-protein interaction ; seed-specific transcription factors ; signaling pathways ; seed size ; seed development ; juvenile idiopathic arthritis ; transcriptome-wide association study ; gene-based association analysis ; enrichment analysis ; gene regulatory network ; computational cancer biology ; precision medicine ; oxaliplatin and capecitabine (XELOX) ; data bank ; AlphaFold 2.0 ; graph neural network ; protein features ; nasopharyngeal carcinoma ; bioinformatics ; genes ; melon ; CmSUN ; IQ67 domain ; expression analysis ; overexpression phenotype ; fruit shape regulation ; protein interaction ; smooth muscle titin ; protein aggregates ; amyloid aggregation ; amyloids ; cross-β ; 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: 2024-04-11
    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: 2023-11-30
    Description: This reprint addresses healthcare transformation towards personalized, participative, preventive, predictive, and precision medicine (5P Medicine) with the support of new technologies such as micro-, nano-, and bio-techniques, as well as artificial intelligence and learning systems. It focuses, therefore, on the representation and management of knowledge from different domains and their actors, using their methodologies and languages but also individual skills and experiences. The outcome is a system-oriented, architecture-centric, ontology-based, policy-driven approach allowing a formal representation and management of health ecosystems, including their integration and interoperability. Such development is accompanied by security, privacy, and ethical challenges to be resolved. The reprint describes the principles, methodologies, and standards for successfully managing the transformation of health and social care, illustrated by many practical examples and implemented use cases. The reprint is based on papers published in the context of the pHealth 2021 Conference in Genoa, Italy. However, the content goes far beyond the focus and size of the original papers.
    Keywords: syntactical parsing ; natural language processing ; electronic health records ; Node2Vec ; automatic text labeling ; graph algorithms ; mobile application ; mHealth ; digital technology ; emergency service ; hospital ; emergency department ; clinical laboratory information systems ; communication ; text messaging ; pediatrics ; postoperative risks ; aortic aneurysm ; integrated data ; predictive modeling ; feature extraction ; machine learning ; privacy ; trust ; modelling ; antecedents ; Fuzzy attractiveness rating ; didactic ; Healthcare IT ; citizens ; E-Learning ; digitalization ; digitization ; patient empowerment ; education ; healthcare communications ; surgical biobank ; post-traumatic arthritis ; osteomyelitis ; semantic data integration ; system theory ; biomedical ontologies ; knowledge representation ; ascending aortic dilatation ; aneurysm ; risk factors ; echocardiography ; social media ; physical activity ; chatbot ; health ; participatory health ; usability ; conversational agent ; behavior change ; genomics ; security ; modular architecture ; GIPAMS ; standards ; Markov model ; periprosthetic joint infection ; revision arthroplasty ; total hip replacement ; decision trees ; oncohematology ; epilepsy risk ; epilepsy modeling ; COVID-19 ; pneumonia ; dynamical Bayesian networks ; treatment trajectories ; auto ML ; eHealth ; data democratization ; health data infrastructure ; privacy-enhancing technologies ; hospital-acquired infections ; international coding system ; laboratory information systems ; information extraction ; stress detection ; individual learning ; centralized learning ; federated learning ; smartwatch ; health transformation ; ecosystems ; knowledge representation and management ; architecture ; n/a ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: Gastrointestinal (GI) cancer is a major cause of morbidity and mortality in the world. Since early diagnosis and optimal treatment selection are crucial to improving the prognosis of these diseases, the discovery of useful biomarkers has the potential to greatly reduce their burden. Recent technical and mechanical developments have allowed for the detection of tiny differences in various factors modified in physical conditions, which could contribute to the discovery of novel biomarkers for some diseases.In this Special Issue, we aim to focus on novel biomarkers for GI cancers, including esophageal cancer, gastric cancer, colorectal cancer, liver cancer, pancreatic cancer and biliary cancer. In addition, any samples (tissue, blood, urine and feces) are useful as biomarker sources, although body-fluid-based biomarkers are promising as diagnostic biomarkers due to their noninvasiveness. This Special Issue aims to collect novel insights clarifying the current situation and future perspective in this field.
    Keywords: colorectal cancer ; advanced adenoma ; screening ; stool ; mRNA ; n/a ; cancer screening ; cirrhosis ; AFP ; machine learning ; MALDI-TOF ; proteomics ; CXCR4 ; prognosis ; overall survival ; rectal cancer ; neoadjuvant chemoradiation ; mouse model ; biomarkers ; urokinase plasminogen activator (uPA) ; urokinase plasminogen activator receptor (uPAR) ; plasminogen activator inhibitor type 1 (PAI-1) ; circulating tumour cell (CTC) ; gastric cancer ; oesophageal cancer ; serine proteases ; tumour microenvironment ; serpins ; biomarker ; chemoresistance ; liquid biopsy ; microRNA ; long non-coding RNA ; colorectal neoplasms ; cancer screening tests ; early detection of cancer ; precision medicine ; unfolded protein ; hepatocellular cancer ; GSVA ; unfolded protein score ; epigenetic regulation genes ; somatic mutations ; molecular genetic markers ; extracellular vesicles ; microbiome ; 16S rRNA amplicon ; metagenomics ; liver fibrosis ; hepatocellular carcinoma ; recurrence ; SHG/TPEF microscopy ; artificial intelligence ; advanced gastric cancer ; targeted therapy ; urinary miRNA ; miR-129-1-3p ; miR-566 ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJC Diseases & disorders::MJCL Oncology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: There has been significant growth in branches of industry directly related to new materials, such as metals, polymers, and composite materials. Considering the increase in material costs, it has become exceedingly important to produce lightweight constructions through the use of certified materials with appropriate mechanical properties. Many composite materials, especially in building engineering, are characterized by the use of waste materials, allowing them to meet environmental demands and often also positively affecting the performance (as well as mechanical) properties of the whole construction. A similar phenomenon has been noticed in polymers and metals, with the “ecologically friendly” factor having increasing influence in such materials. The main aim of our Special Issue was to gather novel research results concerning different materials available for all important industries—building engineering, the heavy industry, automotive, aerospace, and medicine. Such a general title has been proposed to also include different manufacturing technologies using various materials—conventional (milling, casting, forming, and turning) and novel (hybrid and additive manufacturing).
    Keywords: additive manufacturing ; powder bed fusion ; 316L stainless steel ; ultrasonic atomization ; gas atomization ; three-point bending ; polyamide-based composites ; fused filament fabrication ; concrete additives ; concrete fibers ; concrete strength tests ; threshold effect ; flake graphene ; graphene oxide ; reduced graphene oxide ; lubricants ; grease ; fatigue life prediction ; CuZn37 brass ; machine learning ; IPCs ; ceramic preform ; ceramic–elastomer composite ; silane coupling agent ; hot isostatic pressing (HIP) ; wettability ; mechanical properties ; mechanical engineering ; laser powder bed fusion ; 21 NiCrMo2 steel ; process parameters ; post-heat treatment ; torsional strength ; cellular structures ; 20MnCr5 Steel ; cement–glass composite bricks ; digital image correlation analysis ; material extrusion ; PET-G ; waste disposal ; hybrid additive manufacturing ; lattice structures ; hot isostatic pressing ; fatigue behaviour ; polymer–straw boards ; thermoplastic polymers ; annual plants ; 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::TGM Materials science
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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: 2023-11-30
    Description: With the deep integration of cutting-edge technologies such as artificial intelligence, big data, and the Internet, ship propulsion control systems are also gradually undergoing a transformation from the mode of automatic control to intelligent control. In particular, the smart ship concept has become a key factor in the maritime industry’s ambition to achieve sustainable green development. Currently, the development of all-electric propulsion and innovative hybrid ship propulsion systems is a priority, so that the efficiency of ship propulsion systems might be improved. Therefore, the aim of this monograph is to describe the intelligent control of ship propulsion systems. In this regard, this monograph deals with new approaches to the design of ship power systems. Among them, in terms of intelligent control, and using simulation experiments for comparison, the learning ability relied on by artificial intelligence is utilized to handle the collected data and generate corresponding commands, thus ensuring the safety and stability of the ship's movement. The main objective of this Special Issue is to fill existing knowledge gaps and provide additional ideas on the intelligent control of marine propulsion systems. Finally, we would like to express our deepest gratitude to the staff of MDPI Books and the editorial team of Marine Science and Engineering, especially the assistant editors of this Special Issue, the gifted authors, and the diligent and expert reviewers.
    Keywords: automation ; autonomous guidance ; green propulsion technologies ; marine engine ; safety and efficiency ; ship propulsion dynamics ; simulation ; smart control ; optimization ; weather routing ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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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: 2023-09-11
    Description: This Special Issue aimed to collate recent works regarding the planning and control of energy systems. In particular, this Special Issue focuses on microgrids. This kind of system enables optimal integration of renewable energy sources, electric vehicles, energy storage, and demand-side management strategies, thus proposing a valuable framework through which to implement the decarbonization of the electricity sector. Special attention is given to those works devoted to systems with high penetration of renewables and advanced demand response strategies. Literature reviews are also included in this Special Issue, and some real-life experiences are described and analyzed.
    Keywords: optimization algorithm ; control system ; renewable energy ; PSO ; GWO ; battery storage energy ; electric vehicle ; photovoltaics ; BESS ; optimization ; AOA algorithm ; uncertainty ; distribution network ; DC multi-microgrid system ; carbon emissions ; economic dispatch ; across-time-and-space energy transmission ; cooperative multi-objective optimization ; PV ; wind turbine ; biomass system ; heap-based optimizer ; Franklin’s and Coulomb’s algorithm ; sooty tern optimization ; energy cost ; metaheuristics ; solar cell systems ; elephant herding optimization ; alpha tuned EHO ; cultural-based ; biased initialization ; parameter identification ; single diode ; double diode ; three diodes ; modular multilevel converter (MMC) ; fault-tolerant ; voltage source modular multilevel converter (VSMMC) ; SPWMLSC ; SPWMPSC ; STHILSC ; STHIPSC ; optimal energy management ; multi-agent system ; multi-energy carrier ; renewable energy sources ; microgrids management ; renewable energy resources ; isolated microgrids ; optimization techniques ; demand-side management (DSM) ; distributed generations (DGs) ; energy management systems (EMS) ; renewable energy sources (RES) ; waste to energy (W2E) ; microgrid architecture ; smart infrastructure ; resilience ; optimization model ; critical node identification ; 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: 2023-01-05
    Description: The aim of carbon capture, utilization, and storage (CCUS) is to reduce the amount of CO2 released into the atmosphere and to mitigate its effects on climate change. Over the years, naturally occurring CO2 sources have been utilized in enhanced oil recovery (EOR) projects in the United States. This has presented an opportunity to supplement and gradually replace the high demand for natural CO2 sources with anthropogenic sources. There also exist incentives for operators to become involved in the storage of anthropogenic CO2 within partially depleted reservoirs, in addition to the incremental production oil revenues. These incentives include a wider availability of anthropogenic sources, the reduction of emissions to meet regulatory requirements, tax incentives in some jurisdictions, and favorable public relations. The United States Department of Energy has sponsored several Regional Carbon Sequestration Partnerships (RCSPs) through its Carbon Storage program which have conducted field demonstrations for both EOR and saline aquifer storage. Various research efforts have been made in the area of reservoir characterization, monitoring, verification and accounting, simulation, and risk assessment to ascertain long-term storage potential within the subject storage complex. This book is a collection of lessons learned through the RCSP program within the Southwest Region of the United States. The scope of the book includes site characterization, storage modeling, monitoring verification reporting (MRV), risk assessment and international case studies.
    Keywords: geologic CO2 sequestration ; CO2 and brine leakage ; underground source of drinking water ; risk assessment ; response surface methodology ; early detection criteria ; multi-objective optimization ; CO2-WAG ; machine learning ; numerical modeling ; hybrid workflows ; morrow ; Farnsworth ; Anadarko ; incised valley ; geological carbon sequestration ; reactive surface area ; mineral trapping ; enhanced oil recovery with CO2 (CO2-EOR) ; geochemical reactions ; workflow ; workshop ; process influence diagram ; response surface model ; polynomial chaos expansion ; NRAP ; relative permeability ; geologic carbon storage ; multi-phase flow simulation ; life cycle analysis ; CO2-enhanced oil recovery ; anthropogenic CO2 ; global warming potential ; greenhouse gas (GHG) ; carbon storage ; CO2-EOR ; CO2 sequestration ; geomechanics ; reservoir fluid flow modelling ; tightness of caprock ; CO2 leakage ; threshold pressure ; reactive solute transport ; multi-phase fluid flow ; Farnsworth Unit ; STOMP ; GEM ; TOUGHREACT ; 4D ; time lapse ; CO2 ; EOR ; WAG ; sequestration ; monitoring ; carbon sequestration ; caprock integrity ; noble gas migration ; seal by-pass ; carbon dioxide storage ; storage efficiency factor ; probabilistic ; expectation curve ; Monte Carlo ; Farnsworth Field ; petroleum system modeling ; CO2 migration ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: System dynamics is a simulation modeling approach to strategic and policy analysis that has been applied to many health care and public health issues since the 1960s and has become increasingly prevalent since the 2000s. The ten articles in this reprint appeared in a Special Issue of Systems and cover a broad cross-section of relevant methodological topics as well as applications to specific health problems.One methodological article describes the use of cascaded system archetypes, with an application to reducing hospital congestion. Another discusses Monte Carlo uncertainty analysis, with an application to the US opioid crisis. Three of the articles describe models of community response to severe shocks, including recovery from the COVID-19 pandemic. Two other articles address strategies for dealing with myriad chronic diseases and risk factors in a population. Other papers include in-depth analyses of prostate cancer screening, digital prosthetic services for lower-limb amputees, and the complex behavioral health challenge of youth homelessness.This reprint provides an excellent snapshot of the current state of practice in system dynamics as it is applied to public health, health care delivery, and health policy. It offers practical policy guidance and will be of interest to both experienced practitioners and those new to the field.
    Keywords: simulation model ; public health practice ; chronic disease ; prevention ; cardiovascular diseases ; cancer ; COVID-19 ; tourism recovery ; public policy ; system dynamics ; participatory modelling ; health ; social care ; integrated care ; hospital ; delayed hospital discharges ; strategy ; congestion ; capacity ; archetypes ; unintended consequences ; population health and well-being ; equity ; stewardship ; resilience ; simulation modeling ; uncertainty analysis ; optimization ; sensitivity testing ; Monte Carlo randomization ; opioid epidemic ; prosthetics ; major lower-limb amputations ; prosthesis usage ; amputee mobility ; health care system ; health policy ; youth homelessness ; child welfare ; juvenile justice ; mental health ; public health ; decision making ; long-term conditions ; resource allocation ; complex systems ; early detection of cancer ; mass screening ; decision-making ; dissemination ; clinical practice guidelines ; evidence-based guidelines ; policy decision thresholds ; prostate cancer ; natural history of disease ; biomarker ; PSA ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The reprint is devoted to the phenomena associated with exact or approximate axial symmetry in different areas of technical physics and mechanical engineering science. How can the symmetry of the problem be used most efficiently for its analysis? Why is the symmetry broken or why is it still approximately retained? These and other questions are discussed based on systems from different fields of engineering.
    Keywords: fretting wear ; axis-symmetry ; tangential contact ; torsional contact ; Abel transform ; injection molding ; concentricity ; coaxiality ; optical barrel ; bilateral telecentric lens ; optimization ; contact problem ; non-axisymmetric indenter ; extremal principle ; generalized MDR ; non-axisymmetric ; circular contact ; frictionless contact ; general solution ; closed-form solution ; series solution ; cylindrical punch ; contact stress-intensity factor ; cylindrical symmetry ; spherical symmetry ; periodic boundary conditions ; 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: 2023-06-23
    Description: The great economic and strategic importance of catalysis makes it a rapidly evolving field. Catalysis is fundamental in areas such as sustainable development, energy production, environmental protection, food production, and water purification. In the face of the significant challenges of the present day, acquiring fundamental knowledge about the structure and phenomena on the surface of catalysts and the relationships between the composition, synthesis method, properties, and performance of catalysts in industrial processes is essential. Research is still needed to improve existing catalysts or design new systems which may efficiently and selectively conduct a given reaction toward the desired product. This Special Issue was devoted to designing and characterizing heterogeneous catalytic systems for industrial chemical processes. The reprint collects 10 research articles providing insight into important aspects of modern catalyst design. The papers cover recent advances and comprehensive experimental studies of synthesis, characterization, and evaluation of catalyst performance in the following processes: ammonia synthesis, selective catalytic reduction of nitrogen oxides, hydrogen production from ethanol, and photocatalysis.
    Keywords: cobalt molybdenum nitrides ; ammonia synthesis ; phase composition ; specific surface area ; cobalt catalyst ; barium ; promoter ; optimization ; hydrogen ; ethanol ; catalyst ; TiO2 photocatalysis ; UV-C ; photolysis ; ammonia ; nitrogen removal ; water treatment ; hydrogen production ; ethanol steam reforming ; nickel-based catalyst ; manganese oxides ; potassium promoter ; gliding discharge ; plasma–catalytic system ; tar decomposition ; nickel catalyst ; nitric acid plant ; selective catalytic reduction ; clinoptilolite ; iron-modified zeolite catalyst ; TiO2-SiO2 ; mesoporous ; F127 ; high surface area ; solar photocatalysis ; dye degradation ; structure sensitivity ; size effect ; carbon support ; neodymium oxide ; support ; hydrogen poisoning ; 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: 2023-04-05
    Description: The second volume of the Special Issue on “Micro-Electro Discharge Machining: Principles, Recent Advancements and Applications” confirms the growing interest in the micro-EDM technology as a suitable and efficient technology for machining novel, multilateral components, with demanding requirements in terms of precision, accuracy, and productivity.This volume consists of 10 original research papers which involve several approaches to micro-EDM and cover the enhancement of the process performance, such as the material removal rate, surface roughness, or machining accuracy, using advanced optimization methods. Some studies also consider several dielectric fluid additives and investigate the processability of new materials. Others investigate the combination of Reverse-micro-EDM with laser beam micromachining or explore new applications for the micro-EDM for fabricating antimicrobial nanosilver colloid.
    Keywords: electrical discharge machining ; metal matrix composite ; Taguchi ; micro-hardness ; surface roughness ; material removal rate ; wire electro-discharge machining ; polymer composite materials ; processing precision ; interelectrode gap ; micro-EDM milling ; accumulative difference ; material removal ; tool electrode wear ; analytical hierarchy process ; residual stress ; metal erosion rate ; Reverse-μEDM ; Nd: YAG LBµM ; micro-holes ; burrs ; protrusions ; electrical discharge machine ; energy consumption ; nanosilver colloid ; antimicrobial ; micro-EDM ; tungsten carbide ; carbon nanofiber ; silicon ; alumina ; shape memory alloys ; nitinol ; optimization ; near-dry wire electric discharge machining (WEDM) ; teaching–learning based optimization (TLBO) algorithm ; micro electrical discharge machining ; vibration assisted electrical discharge machining (EDM) ; high-speed camera ; array electrode ; structured surface ; efficiency ; micromachining ; performance ; quality ; 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: 2023-09-11
    Description: The year 2021 marks the 10th anniversary of Journal of Clinical Medicine, and as one of the major sections of JCM, we are launching a 10th anniversary Special Issue in the section “Gastroenterology & Hepatopancreatobiliary Medicine”. We accepted papers for the Special Issue, titled "Recent diagnostic and therapeutic advance in Gastroenterology & Hepatopancreatobiliary Medicine". This medical field is a complex and wide-ranging field that deals with diseases in multiple organs such as the gastrointestinal tract and hepatobiliary pancreas. With recent advances in diagnostic imaging and interventional treatment, those in endoscopic diagnosis and treatment, those in functional test and those in genetic diagnosis and drug therapy, including the molecular-targeted therapy, many new medical findings have been accumulated. In this Special Issue, we looked for reports that make full use of advances in diagnostics and therapeutics in the field of Gastroenterology and Hepatopancreatobiliary Medicine.
    Keywords: TXI ; sessile serrated lesion ; hyperplastic polyp ; colonoscopy ; endoscopic submucosal dissection ; colorectal tumor ; traction method ; carbon dioxide ; CO2 insufflation ; abdominal pain ; abdominal distention ; transnasal endoscopy ; health check ; tranexamic acid ; gastrointestinal bleeding ; mortality ; thromboembolic events ; liver metastases ; colorectal liver metastases ; non-colorectal and non-neuroendocrine liver metastases ; liver resection ; Crohn’s disease ; biologics ; small-molecule drugs ; health-related quality of life (HRQoL) ; gastric cancer ; gastric cancer screening ; endoscopy ; H. pylori ; eradication therapy ; n/a ; functional bowel disorders ; gut microbiota ; personalized diet ; machine learning ; personalized medicine ; Turkey ; machine perfusion ; normothermic ; hypothermic ; liver transplant ; survival ; ustekinumab ; perianal fistula ; radiological fistula remission ; metastatic pancreatic carcinoma ; FOLFIRINOX ; sarcopenia ; oxaliplatin ; L3 skeletal muscle index ; percutaneous endoscopic gastrostomy ; prognostic factor ; bic Book Industry Communication::M Medicine
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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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    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: Nowadays, computational and mathematical methods provide effective tools for handling vast quantities of data and information in the fields of big data analytics, knowledge discovery and decision-making for solving complex problems in the world. The present reprint contains all of the articles accepted and published in the first edition of the Special Issue titled “Computational and Mathematical Methods in Information Science and Engineering”. The objective of this Special Issue is to provide a channel through which members of the scientific community can exchange insights regarding recent advances in the theory and application of computational and mathematical methods in information science and engineering, with the long-term goal being to solve data-handling problems in practice. We hope that the papers published in this Special Issue will be considered impactful by the international scientific community and motivate further research into computational and mathematical methods that can solve complex problems in various fields and applications.
    Keywords: multi-scale ; local interaction ; lightweight image reconstruction network ; global fusion ; green supply chain ; environmental awareness ; information acquisition ; outsourcing ; in-house ; career choice ; prediction ; machine learning ; college students ; non-cooperative equilibrium ; complex supply chain network ; environmental policies ; circular economy ; structural balance ; feedback mechanism ; opinions polarization ; reservoir characterization ; productivity prediction ; knowledge interaction neural network ; embedded model ; egg shape equation ; displacement of volume method ; egg volume ; classical retrial policy ; queue dependent service rate ; waiting time analysis ; infinite orbit ; private set intersection ; quantum authentication ; oblivious quantum key distribution ; Internet of Things ; multi-objective optimization ; mining plan ; metal mines ; adaptive ; hybrid mutation ; multi-facility location problem ; clustering algorithm ; center-of-gravity method ; hybrid multi-attribute ; three-way group decision making ; VIKOR model ; grey correlation analysis ; interval-valued intuitionistic fuzzy numbers ; tourist arrival forecast ; variational mode decomposition ; empirical mode decomposition ; multiscale analysis ; deep learning model ; convolutional neural network model ; seasonal ARIMA ; ARIMA ; sales forecasting ; demand pattern ; dynamic weighting ; model selection ; retail ; malicious network traffic ; GAN ; imbalanced classification ; partial discharge (PD) ; phase-resolved PD (PRPD) ; rotating machine ; stator coil ; buffer wards ; mixed-integer programming ; dynamic bed allocation ; patient admission control ; COVID-19 pandemic ; regression ; data stream ; non-convex loss function ; noise-resilient ; online-learning ; ARL ; control charts ; COVID-19 data ; deviance residuals ; link functions ; logistic profiling ; Pearson residuals ; conditional autoregressive model ; Markov chain Monte Carlo ; occurrence rate ; spatial Poisson model ; 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: 2024-04-11
    Description: This reprint focuses on recent advances in the processing of surface electromyography (EMG) signals acquired during human movement, as well as on innovative approaches to sense muscle activity. A wide range of methods is examined, including machine learning techniques to detect the onset/offset timing of muscle activity and approaches to evaluate muscle fatigue and analyze muscle synergies and co-contractions. Applications of these techniques are explored in different medical scenarios, e.g., for the benefit of patients suffering from low back pain, stroke survivors, and patients requiring polysomnography.
    Keywords: gait ; locomotion ; motor module ; number of synergies ; VAF ; gait analysis ; EMG ; muscle activation patterns ; movement analysis ; muscle synergies ; sEMG ; stroke ; factor analysis ; neurorehabilitation ; MRC ; dynamometer ; strength ; mechanomyography ; piezoelectric sensor ; vibration sensor ; human-machine interface ; prosthetic control ; hand gesture recognition ; convolutional neural network ; electromyography ; polysomnography ; REM sleep without atonia ; REM sleep behavior disorder ; RBD ; parkinsonism ; Parkinson’s disease ; spectral power ; sitting balance ; trunk control ; ipsilesional arm ; MFRT ; fatiguing frequency-dependent lifting ; low back pain ; trunk muscle coactivation ; onset detection ; muscle activation ; machine learning ; neural networks ; surface EMG ; sEMG processing ; force estimation ; isometric contractions ; surface EMG signal ; co-contraction detection ; muscular synergies ; the time–frequency domain ; wavelet transform ; power spectral density ; spectral estimation techniques ; Welch method ; Burg method ; autoregressive model ; 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: 2023-04-05
    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: 2023-06-23
    Description: In the treatment of acute stroke, thrombolysis and thrombectomy have proven to be highly effective. Many patients have seen significant improvement after reperfusion therapy. This reprint aims to address current knowledge gaps and promote advancements in the use of thrombolysis and thrombectomy for the treatment of acute ischemic stroke.
    Keywords: ischemic stroke ; acute kidney injury ; contrast media ; endovascular treatment ; outcome ; hyperglycemia ; acute ischemic stroke ; large vessel occlusion ; mechanical thrombectomy ; stroke ; ischemia ; machine learning ; cerebral infarction ; biomarkers ; recanalization therapy ; reperfusion ; temperature ; time to admission ; prehospital delay ; prior stroke ; basilar artery ; brain ischemia ; intracranial atherosclerosis ; embolism ; infarction ; clinical symptoms ; intravenous thrombolysis ; endovascular therapy ; recanalization times ; clinical outcome ; hypoperfusion index ratio ; collateral circulation ; collateral scoring ; CTA ; CTP ; thrombolysis ; C-reactive protein ; white blood cell count ; prognosis ; hypoperfusion ; collaterality ; thrombectomy ; frailty ; elderly patients ; hospital frailty risk score ; acute stroke ; perfusion imaging ; CT perfusion ; MR perfusion ; RAPID ; fasting hyperglycemia ; fasting normoglycemia ; long-term outcome ; hemorrhagic transformation ; parenchymal hematoma ; GWAS ; single nucleotide variants ; anterior circulation ; bridging therapy ; recanalization ; stroke risk score ; COVID-19 ; Lithuania ; reperfusion therapies ; outcomes ; safety ; prehospital stroke diagnosis ; ultrasound ; brain perfusion ; SONAS® ; prehospital stroke scales ; point-of-care diagnostics ; 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: 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: 2024-03-30
    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: 2023-11-30
    Description: Remote sensing is a powerful technique for characterizing and monitoring crop or vegetation properties at reasonable temporal and spatial resolutions. Remote sensing uses airborne and spaceborne platforms to collect various imageries and is widely applied for the vegetation monitoring of local- or large-scale interest concerning the effect of geophysical and climate parameters. The Special Issue highlights vegetation monitoring using remote sensing data acquired from satellite or unmanned aerial vehicle platforms. In addition to the optical data, thermal data is utilized to estimate crop yield or production, orchard water status, chlorophyll content, forest diversity mapping, or vegetation phenology.
    Keywords: rice and wheat ; nitrogen remote sensing ; quantitative retrieval ; research prospect ; vegetation phenology ; snow cover ; vegetation index ; SOS ; Tibetan Plateau ; remote sensing ; forest diversity ; GEDI LiDAR ; Sentinel-2 ; machine Learning ; yield forecasting ; logistic model ; normalization method ; crop canopy temperature ; maize ; broadband vegetation indices ; chlorophyll content ; leaf angle distribution ; WorldView-2 ; RapidEye ; GaoFen-6 ; random forest ; land evaluation ; soil ; biomass ; Hungary ; gross primary productivity ; soil health ; soil quality ; coastal marsh ; continuum removal ; hyperspectral ; spectral signatures ; unmanned aerial vehicle (UAV) ; vegetation species discrimination ; second derivative transformation ; canopy temperature ; crop water status index ; accuracy assessment ; peach orchard ; stem water potential ; backscatter ; gradient boosting ; machine learning ; NDVI ; precision agriculture ; forest stock volume ; NDVIRE ; Helan mountains ; convolutional neural networks (CNNs) ; unmanned aerial vehicles (UAVs) ; semi-natural grasslands ; plant communities ; time series ; reconstruction algorithm ; smoothing ; optical remote sensing ; cropping intensity ; temporal mixture analysis ; endmember ; unmixing ; time series images ; 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: 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: 2023-02-20
    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: 2024-03-27
    Description: This reprint focuses on the mechanisms, modeling and controlling techniques of flash flood disasters, mainly in mountainous areas. Flash floods are among the most severe natural disasters, and the current publication will not only inspire future research but also enrich the current practice of flash flood disaster prevention and mitigation. This collection focusses on the engaged efforts in mitigating flash flood disasters, deepening the understanding of the causes of disasters in existing cases, finding appropriate modeling approaches, and implementing mitigation strategies. The readers will find within this reprint significant contributions for improving prevention and developing mitigation strategies, as well as protecting the safety of exposed populations.
    Keywords: flood monitoring ; forecasting ; hazard exposure ; emergency response ; Vaisigano River ; Samoa ; SWAT ; CMADS ; TRMM ; the Danjiang river basin ; flash flood ; bifurcation ; confluence ; shallow-water models ; flash-flood modelling system ; disaster mechanism ; runoff generation component ; disaster amplification effect ; economic losses from flood disasters ; flash flood disaster control ; Kaya identity ; LMDI technique decomposition method ; flood hazard ; morphometry ; PCA ; logistic regression ; Sinai ; Egypt ; grass coverage rate ; grass spatial arrangement patterns ; slope-gully system ; erosion ; debris flow ; lateral erosion ; strong earthquake area ; model experiment ; erosion pattern ; Tlalnepantla River ; flash floods ; hyetograph shape ; Hec Ras 2d ; Dorrigo diagram ; regionalization ; hydrological model ; hydrodynamic model ; disaster review analysis ; heavy rainfall in Henan ; periglacial debris flow ; southeast Tibet ; small sample imbalanced data ; prediction model ; random forest ; mountain torrents ; distributed hydrological model ; parameters regionalization ; machine learning ; 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: 2023-06-23
    Description: “Soft Computing and Machine Learning in Dam Engineering” is a comprehensive, edited Special Issue that explores the latest advances in the application of soft computing and machine learning techniques to dam engineering. This reprint covers a range of topics, including dam design, construction, monitoring, and maintenance, and provides readers with a deep understanding of the theoretical foundations and practical applications of these techniques.Featuring contributions from leading experts in the field, the reprint presents a collection of 11 papers that offer insights into state-of-the-art approaches in dam engineering. The chapters cover topics such as fuzzy logic, genetic algorithms, artificial neural networks, and support vector machines, and provide practical examples of how these techniques can be applied to solve real-world dam engineering problems.Whether you are a researcher, engineer, or student in the field of dam engineering, “Soft Computing and Machine Learning in Dam Engineering” provides a valuable resource for staying up-to-date with the latest techniques and approaches in the field.
    Keywords: dams ; Polynomial Chaos Expansion ; random fields ; random forest ; vibration analysis ; gravity dams ; safety assessment ; probabilistic analysis ; parameter uncertainty ; sample optimization ; variance-based sensitivity analysis ; sensitivity analysis ; polynomial chaos expansion ; uncertainty ; deep neural networks ; rockfill dams ; anomaly detection ; machine learning ; support vector machines ; one-class classification ; concrete dam ; machine learning methods ; structural behaviour ; model validation ; ice loads ; concrete dams ; back-calculation ; dam safety ; monitoring ; arch dams ; seismic safety ; endurance time analysis ; non-linear seismic analysis ; concrete damage model ; tensile and compressive damage ; design variable ; finite element ; feasibility design ; surrogate ; AutoML ; roller compacted concrete (RCC) ; risk-informed design ; Cascadia subduction zone (CSZ) ; non-linear structural analysis ; multilayer perceptron neural network model ; structural health monitoring ; threshold definition ; moving average of the residuals ; moving standard deviation of the residuals ; DBSCAN ; 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 reprint contains fourteen chosen articles on robust design optimization of electrical machines and devices. Optimization is essential for the research and design of electromechanical devices, especially electrical machines. Finding optimal solutions may lead to cheaper and more efficient production of electrical machines. However, optimizing such a complex system as an electrical machine is a computationally expensive optimization problem, where many physical domains should be considered together. However, a good, practical design should be insensitive to parameter changes and the manufacturing tolerances. The collected papers show how modern artificial intelligence (AI) tools can be used for the robust design optimization of electric machines and electrical devices. The articles which are published in this Special Issue present the latest results of current research fields. Hopefully, the presented models and various application fields will provide useful information for researchers and professionals interested in these techniques themselves or who have other problems from different fields.
    Keywords: design optimization ; genetic algorithms ; Taguchi designs ; electromagnetic coupling ; additive manufacturing ; dynamic performance ; equivalent circuit model ; finite-element method ; linear induction motor ; longitudinal end effect ; transverse edge effect ; DLIM ; equivalent circuit ; end effect ; thrust ; finite element ; insulation core transformer ; non-uniformity of disk output voltage ; load regulation ; voltage compensation ; dummy primary winding ; PSO algorithm ; PMSM ; analytical method ; perturbation theory ; torque ; torque ripple ; rotor eccentricity ; optimization ; electrical machines ; finite element method ; nuclear power plant ; thermal degradation ; thermal-mechanical aging ; low-voltage cables ; polymer degradation ; dielectric spectroscopy ; hardness ; hairpin windings ; multi-objective optimizations ; Finite Element Method ; Lumped Parameter Model ; Permanent Magnet Synchronous Reluctance Motor ; rotor flux barrier ; torque development ; Aurivillius phases ; Bi3−xNdxTi1.5W0.5O9 ; activation energy Ea ; Curie temperature TC ; artificial intelligence ; optimization techniques ; self-organizing map ; power quality ; wind generation ; upgraded insulant ; ester oil-based nano fluids ; thermal conductivity ; relative viscosity ; nanoparticles effect ; alternative fluid ; temperature change ; model predictive control ; hysteresis current control ; execution time ; synchronous reluctance motors ; antenna array ; synthesis control ; quantized control ; array factor ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint aims to disseminate the latest research achievements, findings, and ideas in the robotics field, with particular focus on the Italian scenario. It covers a range of topics related to the theory, design, practice, and applications of robots, such as robot design and kinematics, dynamics of robots and multi-body systems, linkages and manipulators, control of robotic systems, trajectory planning and optimization, innovative robots and applications, industrial robotics, collaborative robotics, medical robotics, assistive robotics, and service robotics. The reprints contributions include (but are not limited to) revised and substantially extended versions of selected papers that were presented at the 2nd International Conference of IFToMM, Italy (IFIT 2018).
    Keywords: robotics ; humanoids ; foot mechanism ; prosthetics ; neurorehabilitation ; humanoid robotics ; assistive robotics ; service robotics ; mechanism design ; kinematics ; cable-driven robots ; compliant mechanisms ; underactuated mechanisms ; motion analysis ; workspace ; deburring ; robot ; cutting forces ; compliant mechanism ; manipulator design ; robot kinematics ; synthesis of kinematic structure ; loop chain ; virtual link ; instant center ; multi-degree-of-freedom ; Aronhold–Kennedy theorem ; rescue robotics ; search and rescue ; robot design ; mobile robot ; patient transfer ; casualty extraction ; planar CDPR ; prescribed task ; optimization problem ; multiobjective formulation ; mono-objective formulation ; position control approach ; validated experimentally ; wheelchair upper limb exoskeleton robot ; ADL assistance ; PD control ; dynamic modeling of an upper limb exoskeleton ; trajectory tracking ; wearable exoskeleton ; reconfigurable parallel mechanism (RPM) ; degree-of-freedom (DOF) ; circular guide ; computer-aided design (CAD) modeling ; virtual and physical prototyping ; screw theory ; kinetostatic analysis ; digital twins ; 3D printing technology ; parallel mechanism ; RoboMech ; structural-parametric synthesis ; Chebyshev and least-square approximations ; kinematic analysis ; robotic rehabilitation ; brachial monoparesis ; torque monitoring ; human–robot interaction ; HRI (human–robot interaction) ; Leap Motion ; UR5 ; hand gesture recognition ; pointing gestures ; collaborative robotics ; parallel robot ; non-uniform covering ; optimization ; singularity zones ; link interference ; 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: 2023-01-05
    Description: The objective of this book is to publish the most recent technological advancements, and theoretical and practical research outcomes, alongside high-quality literature reviews on wireless power transfer to charge electric vehicles. More substantial research is proposed due to the fast-growing market for electric vehicles, and recent advances in wireless power transfer techniques have the potential to make this technology available for all consumers by overcoming its drawbacks. For instance, one of the major downsides to EVs is the requirement for an automobile to be idle during charging times. This problem can be solved by implementing dynamic wireless power transfer (WPT) with a higher power transfer efficiency (PTE). So, this book endeavors to create a major forum for investigating recent advances and the envisioned future in wireless power transfer for electric vehicles in terms of modeling, design, performance, operation, control, implementation, storage, electric machines, power electronics converters, optimization, cost, charging techniques, and applications. This book provides valuable contributions to the field of electric vehicles: inductive power transfer concepts; airport inductive charging infrastructures; the design of a wireless charging system for an e-bike with grid connection; control of renewables; social, economic, political, and technical factors for dynamic wireless charging; the influence of posture and coil position on the safety of a WPT; double-coil dynamic shielding technology for WPT; reduction in cogging torque in a PM brushless DC motor; and optimal dynamic scheduling of EVs in a parking lot.
    Keywords: charging cost ; dynamic charging ; economics ; electric vehicles ; optimization ; parking lots ; static charging ; PMBLDC motor ; cogging torque ; finite element analysis ; virtual work method ; shifting angle ; electromagnetic field ; wireless power transfer ; shielding ; electric vehicle ; EMF safety ; numerical dosimetry ; wireless charging ; dynamic wireless power transfer ; EV charging infrastructure ; stakeholder engagement ; electric road systems ; system demand ; APF ; power quality ; SRF ; UPC ; VAR ; brushless doubly fed reluctance generator (BDFRG) ; crowbar ; symmetrical fault ; unsymmetrical fault ; wind turbine (WT) ; inductive power transfer ; e-bikes ; forward converter ; dynamic wireless charging ; airport apron ; airport infrastructure planning ; electric busses ; charging automation ; electric vehicles (EVs) ; wireless power transfer (WPT) ; production ; automation ; inductive power transfer (IPT) ; manufacturing ; 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: 2024-03-28
    Description: This reprint is a comprehensive compilation of research on new urban mobility. It contains proprietary, current studies on shared mobility, such as car sharing or scooter sharing in relation to commercial use as part of short-term rental systems or for use by postal services. In addition, it broadly refers to the subject of bicycles and bike-sharing systems. It includes research on professional e-bikes with parameters such as velocity, cadence and power data as well as research on measuring the intensity of bicycle traffic, which can be used to evaluate and improve bike-sharing systems. The reprint provides a valuable resource for researchers, practitioners, and policymakers who are interested in the challenges and opportunities associated with the development of new mobility solutions.
    Keywords: power ; velocity ; cadence ; electric bike ; bicycle computer ; car-sharing ; carsharing ; shared mobility ; multi-criteria decision analysis ; ELECTRE III ; MCDA ; decision making in transport ; transportation engineering ; hydrogen mobility ; zero emission ; green energy ; e-micromobility ; e-scooters ; electric vehicles ; PROSA GDSS ; multi-criteria decision aid ; MCDM ; compromise solution ; micro-mobility ; e-scooter ; postal service ; Poisson regression ; optimization ; energy ; cost ; environment ; bicycle traffic measurement ; vehicle counter ; induction loop ; video recording ; perpendicular radar ; microwave radar ; energy management ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
    Language: English
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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: 2024-04-11
    Description: The recovery of solid waste is a challenge and an opportunity for companies, thanks to the ongoing awareness of sustainability and technological advances. The end-of-waste criteria constitute a European strategic goal that promotes recycling in order to ensure a high level of environmental protection by means of reducing the quantity of waste destined for disposal. This Special Issue promotes the knowledge regarding technological methods for solid waste recovery. Articles investigate innovative processing methods with the goal of valorizing solid waste from different civil and industrial activities. Topics includes studies on construction and building, mining, plastics, and WEEE, referring to the treatment techniques used and, where appropriate, the critical raw materials that can be valorized. The recovery processes of critical raw materials can be very energy-intensive, affecting environmental and soil factors. Case studies on sustainable, low-carbon and resource-efficient techniques for the purpose of a more competitive economy were also very welcomed. The environmental impact and safety measures, especially for dangerous waste, should be taken into account in the description of their processing and management.
    Keywords: cathode ray tube ; lead recovery ; lead leaching and electrodeposition ; environmental assessment ; phosphate cements ; calcined dolomite ; quartz sand ; calcined magnesite ; temperature ; K-struvite ; industrial waste ; chromium ; high-performance concrete ; ultra-high-performance concrete ; fibers ; mechanical strength ; alkali-activated cement ; geopolymers ; building materials ; PET ; compressive strength ; water absorption ; WPCBs dismantling ; metals dissolution ; copper recovery ; economic assessment ; process modeling and simulation ; low-temperature processing ; WEEE (waste of electric and electronic equipment) recycling ; materials separation ; process characterization ; SEM/EDS ; torrefaction ; solid fuel ; waste to carbon ; circular economy ; biodegradable materials ; calorific value ; methane fermentation ; biogas ; biomethane ; biochar ; pyrolysis ; hydrothermal carbonization ; biochemical methane potential ; biogas production kinetics ; industrial wastes ; arc furnace slag ; ceramic sludge ; β-wollastonite ; parawollastonite ; porous ceramics ; waste management ; sustainability development ; apple pomace ; active compounds ; extraction ; renewable energy ; anticorrosion agents ; biopolymers ; PCB ; recycling ; metal recovery ; mechanical pre-treatment ; production waste ; rock wool ; glass wool ; loss on ignition ; pollutants washout ; geopolymer ; waste slurry ; flocculation ; solidification ; pipe jacking ; air flow rate ; composting ; municipal solid waste ; monitoring ; optimization ; spatial distributions ; crystallization ; glass–ceramics ; diopside ; anorthite ; by-pass cement ; aluminum dross ; thermodynamic analysis ; kinetics ; hemp stalk ; bio-insulating material ; sustainability ; sound absorbing properties ; thermal absorption properties ; green composite material ; 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: 2023-03-07
    Description: This reprint brings together fifteen articles published in the Special Issue of the journal Atmosphere, entitled “High-Performance Computing Serving Atmospheric Transport & Dispersion Modelling”. These articles cover a wide variety of topics related to air quality in urban areas and nature-based solutions to improve it in the context of climate change; impact studies on human health and the environment of facilities and infrastructure projects as well as risk studies; the assessment of emerging threats; and preparations for and responses to emergencies involving toxic, flammable, or explosive atmospheric releases. As the fifteen articles presented here remarkably illustrate, what these contemporary topics have in common is the implementation of multi-scale simulations of atmospheric transport and dispersion by means of physical models of computational fluid dynamics (CFDs), whose potential is enhanced by high-performance computing (HPC). This reprint thus addresses the answers provided by modelling and the most advanced simulations to some societal matters of major interest.
    Keywords: operational emergency modeling ; atmospheric release ; high-resolution metric grid ; 3D ; PMSS modeling system ; Code_Saturne ; EMERGENCIES project ; lattice Boltzmann method ; large eddy simulation ; pollutant dispersion ; urban physics ; urban air pollution ; nature-based solutions ; green infrastructure ; PMSS Lagrangian model ; NOx ; PM10 ; large-eddy simulation ; plume dispersion ; urban area ; coupling simulation ; mesoscale meteorological simulation model ; meteorological observation ; graphics processing unit computing ; atmospheric dispersion modelling ; microscale dispersion ; model validation ; database ; on-site meteorological observation ; water mist dispersion ; lagrangian dispersion model ; web visualization ; web mapping ; emergencies project ; atmospheric boundary layer ; OpenFOAM ; gas dispersion ; CFD ; turbulence model ; hazard assessment ; horizontal homogeneity ; wind field ; deposition ; machine learning ; hazardous release ; WRF ; FLEXPART ; prediction ; air pollution ; air quality modelling ; ADMS-Urban ; high performance computing ; HPC ; West Midlands ; air quality ; urban scale ; traffic emissions ; micro-scale dispersion models ; aerosols ; South Asia ; WRF-Chem ; precipitation ; CAPE ; CIN ; urban dispersion ; complex terrain ; fast-response dispersion modeling ; computational fluid dynamics ; RANS ; urban dispersion modelling ; Reynolds-averaged Navier–Stokes ; situational awareness ; CityGML ; air quality impact study ; PMSS model ; high resolution grid ; bic Book Industry Communication::M Medicine
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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: 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: 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: 2024-03-28
    Description: This reprint contains a series of articles and reviews that illustrate the state-of-the-art knowledge about Gamma Ray Bursts and provide deep insights on the challenges that will be faced in GRB physics in the next decade.
    Keywords: gamma rays bursts ; radiation mechanisms ; non-thermal ; quark matter ; up-down quark nuggets ; quark star crusts ; white dwarfs ; gamma ray bursts ; fireball model ; circularity problem ; standard candles ; calibration ; dark energy ; dark matter ; cosmography ; cosmological parameters ; Gamma-ray bursts ; massive stars ; supernova ; spectroscopy ; binary stars ; metallicity ; rotation rate ; gamma-ray bursts ; polarization ; jet structure ; instruments & methods ; GRB ; radio ; redshift evolution ; instrumentation—detectors ; gamma rays: general ; gamma-ray bursts: general ; gamma-ray burst ; gravitational wave ; neutron stars ; magnetosphere ; shock breakout ; SVOM (Space-based multiband astronomical Variable Objects Monitor) ; time-domain astronomy ; γ-ray burst ; multi-messenger astrophysics ; nano-satellites ; supernovae ; Ia ; cosmology ; Hubble ; tension ; ΛCDM ; evolution ; modified ; gravity ; theories ; prompt emission ; relativistic jets ; gamma–rays: bursts ; cosmology: early universe ; multi-messenger astrophysics: gravitational waves ; neutrinos ; instrumentation: X/gamma–ray astrophysics from space ; fundamental physics ; non-thermal processes ; Cherenkov telescopes ; very high energy ; IACTs ; clustering ; statistical analysis ; feature extraction ; machine learning ; gamma-ray burst: general ; relativistic processes ; magnetohydrodynamics ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics ; thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; 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: 2024-03-28
    Description: Mangrove forests are in constant flux due to both natural and anthropogenic forces. The changing mangroves will have significant consequences to coastal communities. Observation and monitoring of the distribution and dynamics of mangroves is central to a wide range of scientific investigations conducted in both terrestrial and marine ecosystems. Recent advancements in remote sensing data availability, image-processing methodologies, computing and information technology, and human resource development have provided an opportunity to observe and monitor mangroves from local to global scales on a regular basis. The spectral, spatial, and temporal resolution of remote sensing data and their availability have improved, making it possible to observe and monitor mangroves with unprecedented spatial thematic and temporal details. This journal Remote Sensing Special Issue reprint dedicated to the observation and monitoring of mangroves using remote sensing from local to global scales. The Issue broadly covers the application of remote sensing using optical (multi-spectral and hyperspectral), radar, and Lidar data obtained from multiple platforms including ground, air, and space. The research papers published use the latest techniques to acquire, manage, exploit, process, and analyze a wide variety of remote sensing data for mangrove forest applications. Both research papers and innovative review papers are included.
    Keywords: mangrove ; natural recovery ; artificial neural network ; Sentinel-2 ; transfer learning ; change detection ; coastal region ; remote sensing ; fragmentation ; productivity ; land cover change ; mangrove ecosystem ; random forest (RF) ; Google Earth Engine (GEE) ; Sentinel ; synthetic aperture radar (SAR) ; optical ; aerial roots ; global sensitivity analysis ; PAWN ; canopy reflectance model ; vegetation index (VI) ; mangroves ; Landsat ; mangrove forests ; time series ; Google Earth Engine ; random forests ; phenology ; TIMESAT ; climate ; monitoring ; Great Barrier Reef ; Hainan Island ; CLUE-S ; spatio-temporal simulation ; future change trends ; mangrove species ; spectrometer ; spectral reflectance ; WorldView-2 ; dendrogram ; extent ; mapping ; sentinel-2 ; global mangrove watch ; remote sensing-based monitoring ; plantation ; restoration ; dieback ; Bay of Bengal ; Red River Delta ; Vietnam ; vegetation index ; mangrove index ; mangrove forest ; mangrove above ground ; biomass ; carbon sink ; bibliometric analysis ; Sembilang National Park (Indonesia) ; machine learning ; satellites images ; geoprocessing ; rehabilitation program of mangroves ; 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: 2023-03-07
    Description: This overview of the most recent advances in the field of SMA research and applications in civil engineering aims to help remove the knowledge barriers across disciplines and sheds considerable light on the opportunity to commercialize SMA products in the construction industry.
    Keywords: seismic analysis ; rocking pier ; shape memory alloy ; ECC material ; bridge engineering ; television transmission tower ; seismic excitation ; shape memory alloy damper ; parametric study ; vibration control ; shape memory alloys ; engineered cementitious composites ; composites materials ; self-recovery capacity ; bending behavior ; machine learning ; artificial neural networks ; superelastic ; parameter identification ; constitutive model ; thermodynamic parameters ; shape memory alloy (SMA) ; self-centering SMA brace ; loading rate ; initial strain ; energy dissipation coefficient ; self-centering ; beam-column joints ; seismic performance ; iron-based shape memory alloy (Fe-SMA) ; shape memory effect ; martensitic transformation ; prestressing ; low cycle fatigue ; seismic ; damping ; transmission tower ; wind excitation ; SMA damper ; energy response ; viscoelastic ; brace ; hybrid control ; seismic resilience ; self-centering rocking (SCR) piers ; seismic fragility ; resilience ; life-cycle loss ; ferrous shape memory alloys ; prestress ; recovery stress ; relaxation ; thermomechanical behavior ; fatigue ; active materials ; low-cost SMAs ; civil engineering applications ; 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: 2023-04-05
    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: 2024-03-28
    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: 2024-04-11
    Description: Floods are one of the most common natural hazards that substantially affect human lives and properties globally. Engineering is of key importance to cope with flood risk as it provides integrated solutions associated with hydrological–hydraulic and coastal-advanced techniques for analysing flooding risk, for designing flood infrastructures for direct protection, for providing natural retention measures that enhance environmental and river restoration, for developing flood warning systems, and for presenting integrated construction and non-construction measures in order to adapt to emerging climatic challenges and develop resilience under the modern city environment.This Special Issue highlights the current efforts being made to advance the science and applications in flood engineering and, more specifically, in a wide spectrum of its related geosciences, such as hydrology, hydraulics, sedimentation, and river restoration.
    Keywords: ombrian curves ; intensity–duration–frequency curves ; rainfall extremes ; regionalization ; regional frequency analysis ; spatial rainfall ; design rainfall ; IANOS ; medicane ; Karditsa ; HEC-HMS ; HEC-RAS ; remote sensing ; SENTINEL ; machine learning ; sewer model ; LSTM neural network ; urban sewer flooding ; flood exposure ; geospatial analysis ; open-access data ; infrastructure ; forensic hydrology ; flood modeling ; open dataset ; MIKE FLOOD ; Eastern Uganda ; flood plains ; flood hazard maps ; return period ; SWAT ; dams ; numerical simulations ; physical modeling ; water management ; wetlands ; nature-based solutions ; flood mitigation ; coastal flooding ; tidal watersheds ; compound flooding ; D-vine copula ; trivariate joint analysis ; Bernstein estimator ; beta kernel estimator ; parametric copulas ; kernel density estimation ; return periods ; extreme rainfall ; default urban fraction ; Kampala ; urban parameter ; updated urban fraction ; WRF model ; ensemble empirical mode decomposition (EEMD) ; flood period ; tidal river ; water level forecasting ; hydraulic simulation ; flood maps ; digital elevation model ; random forests ; UAV mapping ; DEM sensitivity ; DEM errors ; flood extent ; flood risk assessment ; numerical modelling ; storm surge ; sea level elevation ; inundation maps ; Manning coefficient ; raster grid ; 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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    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: 2024-03-28
    Description: Catalytic oxidation or reduction processes are among the most efficient processes for water and wastewater treatment. These include photocatalysis, sulfate and hydroxyl-radical-based advanced oxidation processes.This Special Issue contains the contributions of different research groups and discusses the recent progress and advances in catalytic processes in water and wastewater treatment.
    Keywords: photocatalytic degradation ; graphene quantum dots ; nanocomposites ; free radical generation ; post-processing modification ; surface-engineered biochar ; dye removal ; machine learning ; artificial neural network ; photocatalysis ; sodium persulfate ; antibiotics ; water treatment ; hybrid system ; water matrix ; MTBE ; arsenic ; Fe2O3/MgO catalyst ; AOP ; modeling ; optimization ; Auramine O ; basic dye ; titania nanoparticle ; mechanism ; CuS nanostructures ; heterojunctions ; organic pollutants ; wastewater treatment ; water purification ; ZnO nanostructures ; hydrothermal synthesis ; seedless ; building materials ; synthetic dyes ; anionic–anionic co-doping ; BaTiO3 ; Heyd–Scuseria–Ernzerhof (HSE06) ; photocatalytic water splitting ; TiO2 ; photocatalysts ; photodegradation ; methylene blue ; methyl green ; g-C3N4 ; pharmaceuticals ; amisulpride ; reactive species ; transformation products ; ecotoxicity ; biochar ; sulfamethoxazole ; persulfate ; electron transfer ; psychiatric drugs ; hospital wastewaters ; solar photocatalysis ; 1MoS2/g-C3N4 ; CNTs ; Ag2S ; cadmium ; adsorption ; alizarin yellow R ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PN Chemistry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: The book is the reprint of the Special Issue 'Advances in Sustainable and Digitalized Factories: Manufacturing, Measuring Technologies and Systems' published in the journal Applied Science (MDPI). It contains 17 articles, including 1 Editorial, 14 Research Papers, and 2 Reviews.
    Keywords: Industry 4.0 ; continuous improvement ; lean manufacturing ; lean production systems ; lean 4.0 ; systematic literature review ; tiny RFID ; metallic electromagnetic isolation ; analog manometer ; Ansys HFSS simulator ; passive digitization ; ontology ; production simulation ; multi-agent ; digital twin ; augmented reality ; industry 4.0 ; quality 4.0 ; metrology ; assembly ; turbine blades ; re-manufacturing ; uncertainty ; robust scheduling ; case-based reasoning ; failure mode ; effect and criticality analysis ; knowledge-based system ; nearest neighbor ; reliability-centered maintenance ; virtual reality ; cyber physical system ; OPC UA ; CAD ; industrial IoT ; prototyping ; retrofitting solutions ; embedded solutions ; low-cost ; value chain ; additive manufacturing ; subtractive manufacturing ; cost comparison ; plant simulation ; technology comparison ; hybrid dependability modelling ; production scheduling ; dynamic failure rate ; discrete event simulation ; time-driven simulation ; machine learning ; manufacturing ; artificial intelligence ; smart manufacturing ; digitization ; smart surface ; friction force field ; under-actuation ; feeding ; simulation ; material flow handling ; intralogistics ; robotic bin-picking ; simulation model ; ADAMS ; pick-point determination ; MATLAB/Simulink ; 2-F robotic gripper ; performance analysis ; plastic injection molding ; design of experiments ; process optimization ; facility layout problem ; evolutionary algorithms ; numerical modeling ; multi-objective optimization ; 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 reprint was proposed and organized as a means to present recent developments in the field of testing of materials and elements in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of this topic, from building materials to building structures. The current trend in the development of materials testing in civil engineering is mainly concerned with the detection of flaws and defects in elements and structures using destructive, semidestructive, and nondestructive testing.
    Keywords: timber structures ; estimating mechanical parameters ; small clear specimens ; non-destructive tests ; semi-destructive tests ; resistance drilling ; ultrasonic wave ; stress wave ; visual grading ; concrete ; NDT ; finite element method ; experiment ; automated inspection ; frequency domain ; validation ; sulfate attack ; physical and mechanical properties ; damage model ; microstructure ; external thermal insulation systems ; mechanical properties of bonds ; polyurethane adhesive ; timber frame building ; bond strength ; shear properties ; residual magnetic field ; Barkhausen noise ; LCR circuits ; plastic deformation ; austenitic steel ; steel fibre-reinforced concrete ; steel fibres ; waste sand properties ; reinforced beam ; shear cracking ; shear capacity ; non-destructive testing ; damage detection ; vibrations ; modal analysis ; continuous wavelet transform ; concrete beam ; strengthening ; adhesive joint ; debonding ; S355 steel ; uniaxial tensile test ; strength properties ; true stress-strain relationships ; confining pressure ; expansive clay ; fiber ; flexible wall permeameter ; hydraulic conductivity ; lime ; rigid wall permeameter ; concrete corrosion ; concrete protection ; steel corrosion ; concrete durability ; coating materials ; masonry structures ; autoclaved aerated concrete masonry units (AAC) ; compressive strength ; minor-destructive (MDT) techniques ; non-destructive (NDT) techniques ; ultrasonic testing ; acoustoelastic effect (AE) ; hydrostatic stresses ; modeling ; DIC technique ; ready-mixed concrete ; construction architecture material ; inter-laboratory comparisons (ILC) ; proficiency testing (PT) ; concrete quality assessment ; fracture mechanics ; ductile fracture ; material microstructure ; void growth ; FEM model ; material testing ; geodesic dome ; seismic response ; dynamic analysis ; seismic analysis ; high temperature ; fire temperature ; residual strength ; heat accumulation factor ; variational asymptotic method ; reduced-order plate model ; orthogrid-stiffened panel ; free-vibration analysis ; global buckling ; steel plates ; ultrasonic tomography ; base material ; rock ; post-installed anchors ; adhesive anchor ; mechanical anchor ; load-bearing capacity ; GSI ; RMR ; rebound value ; rebound hammer ; semi-flexible pavement ; fatigue resistance ; cracking mechanism ; fatigue prediction ; fracture surface ; cement–cellulose composites ; ventilated façade ; acoustic emission method ; frequencies of acoustic emission signals ; geosynthetic ; design ; pullout resistance ; effective length ; reinforced earth ; clay bricks ; cement lime mortar ; infill masonry wall ; destructive force ; self-stressed anti-washout concrete ; segment assembly ; undrained strengthening ; axial compression test ; mechanical properties ; CFRP grid ; PCM ; interface ; mechanical model ; pull-out test ; finite element analysis ; external walls ; thermal measurements ; R-value ; thermal resistance ; temperature-based method ; heat flow meter method ; infrared thermography method ; 3D textile composite ; equivalent model ; buckling analysis ; interlaboratory comparison (ILC) ; risk analysis ; measurements uncertainty (MU) ; ceramic tiles adhesive (CTA) ; assessment and verification of constancy of performance (AVCP) ; construction product ; market surveillance ; artificial weathering testing in civil engineering ; construction profiles ; natural fibre-reinforced polymer composites ; building performance assessment ; microstructure analysis ; stairs ; masonry ; clay brick ; arch ; vault ; management ; quality ; light detection and ranging (LiDAR) ; TLS ; low-temperature construction additive ; preparation method ; volumetric properties ; modification mechanism ; mixture performance ; bio-rejuvenated additive ; 100% rejuvenation ; reclaimed asphalt pavement ; regeneration mechanism ; pavement performance ; macro-strain mode ; medium- and small-span bridges ; wavelet transform ; cross-correlation function ; hygrothermal simulation ; capillary active internal insulation ; mould risk ; moisture effects ; subgrade ; static load test ; deformation modulus ; reliability ; fine-grain concrete ; bond ; industrial computed tomography ; numerical simulation ; xCT ; rectangular profile ; torsional stiffness ; stiffness increase ; research ; guided waves ; longitudinal wave ; discrete element method ; numerical modelling ; dispersion curves ; recycled aggregate concrete ; sustainable aggregate ; flexural strength ; gradient boosting ; random forest ; ventilated facades ; large-scale model ; fibre cement boards ; fire exposure ; Bayesian approach ; prestressing force ; saw-cut method ; assessment ; pre-tensioned members ; waste from enrichment of water-soluble ores ; artificially supported mining method ; backfill ; activation ; nanomodifier astralene ; ultimate compressive strength ; cement ; air-entraining admixture ; plasticizing ; porosity ; air-content ; strength ; freeze-thawing resistance ; storage systems ; looseness ; stiffness ; beam-end connection ; bending ; gap ; clearance ; plastic viscosity ; yield stress ; machine learning ; volcanic soil ; mechanical property ; strength index ; particle crushing ; road engineering ; pavement ; fatigue ; modules ; FEM ; light weight deflectometer ; solid fired brick ; defects in the internal structure ; resonant pulse method ; material durability ; drying of soil ; microwave heating ; soil structure ; computed microtomography ; water content ; buckling ; stability ; civil engineering ; slender bars ; columns ; numerical analysis ; variable cross-section ; waste glass ; recycling ; construction materials ; sustainable concrete ; steel fiber ; building material ; fibers ; mortar ; hybrid ; artificial neural networks ; fibre-cement boards ; acoustic emission ; SEM ; steel fibers ; steel fiber-reinforced concrete ; backfill mining ; loading rate ; cumulative ringing count ; damage constitutive model ; CFRP ; bond–slip law ; RC slab ; retrofit ; strengthen ; self-compacting concrete ; prediction models ; FRP ; continuous RC slab ; optimal design ; asphalt aging ; material property ; climate condition ; pavement structure ; field rut depth ; precast concrete products ; quality control ; OC curve ; AOQ curve ; shear wave velocity ; bender elements ; triaxial testing ; micromechanics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
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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: 2023-06-23
    Description: The human body poses various biological barriers to protect itself from pathogens, foreign materials and is important for its functioning and development. This reprint serves as a collection of research and review articles describing novel approaches and new therapeutic modalities to overcome biological barriers. This collection is a must read for scientists working in the field of drug and vaccine delivery.
    Keywords: blood-brain barrier ; integrity marker ; sorbitol ; positron emission tomography ; focused ultrasound ; zolmitriptan ; intranasal ; bilosomes ; sodium deoxycholate ; mucoadhesive gel ; brain targeting ; blood–brain barrier ; drug formulation ; drug hybrids ; intra-arterial delivery ; intracranial malignancies ; intranasal delivery ; monoterpene ; monoterpenoid ; NEO100 ; carbomer hydrogel ; whitening agents ; enhancers ; enhancement site and mechanism ; drug release and permeation ; inhaled drug delivery ; prodrug ; liposome formulation ; propofol ; micelle ; DSPE mPEG2k ; Solutol HS 15 ; diclofenac ; optimization ; pharmacokinetic ; pharmacodynamic study ; long acting ; sustained delivery ; biologics ; silica microparticles ; exosome ; brain delivery ; BBB crossing ; transcytosis ; peptide-drug conjugates ; blood–placental barrier ; Zika virus ; BBB shuttles ; porphyrins ; antivirals ; epidermal growth factor receptor ; non-small cell lung cancer ; Lamin B2 ; AMPK ; Osimertinib ; RNA seq ; proteomics ; RT-PCR ; blood–brain tumor barrier ; permeabilization ; brain tumors ; primary central nervous system lymphoma ; tumor necrosis factor-alpha ; targeted delivery ; vascular targeting ; CD13 ; TNF ; TNF receptors ; NGR-TNF ; polyamidoamine dendrimers ; diabetic retinopathy ; protein kinase C-β inhibitor ; nanoparticles ; ruboxistaurin ; blood brain barrier ; electropermanent magnet ; magnetic resonance imaging ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KND Manufacturing industries::KNDP Pharmaceutical industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: In the context of the food industry, "Innovative Food Products and Processing" refers to the creation and application of cutting-edge techniques, technologies, and approaches. This vibrant industry covers a broad range of topics, with the aim of enhancing food quality, safety, sustainability, and the consumer experience. This Special Issue, entitled “Innovative Food Products and Processing” provides readers with a wide range of topics and applications in food science and technology, such as the use of food chemistry, biochemistry, fermentation, and microbiology, as well as new contemporary processing and preservation technologies and techniques for effective waste management and green technology for the food processing industry. “Innovative Food Products and Processing” is an excellent resource for food science researchers, food scientists, biochemists, nutritionists, and students. This publication's wide range of topics provides a complete overview of the most recent breakthroughs, cutting-edge technologies, and emerging trends in the food industry.
    Keywords: bambangan ; extraction solvents ; fatty acid ; triacylglycerol ; crystalline microstructure ; Bario ; rice flour ; gluten-free ; bread ; amylose content ; encapsulation ; non-dairy ; probiotics ; stability ; storage ; Auricularia cornea ; wood ear mushroom ; instant noodles ; glycaemic response ; by-product ; needlefish (Tylosurus acus melanotus) ; acid-soluble collagen extraction ; physicochemical ; characterization ; chlorophylls ; green colour ; antioxidant activity ; amaranth ; metal ions ; optimization ; response surface methodology ; lactobacillus ; bifidobacterium ; Eucheuma denticulatum ; seaweed oligosaccharide ; HMF ; chokeberry ; wort ; mint essential oil ; malt ; polyphenols ; anthocyanins ; antioxidant capacity ; green banana flour ; soy protein isolate ; emulsifier ; cake ; resistant starch ; dietary fiber ; esters ; brandy ; HS-SPME/GC-MS ; cold stabilization ; multivariate statistics ; egg white ; pulses ; foaming agent ; aerated foods ; canned liquid ; seaweed ; reduced salt ; meat emulsion ; physicochemical properties ; sensory ; meat products ; patty ; microencapsulation ; nanoemulsion ; trans-cinnamaldehyde ; spray-drying ; freeze-drying ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry ; bic Book Industry Communication::P Mathematics & science::PN Chemistry::PNF Analytical chemistry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Electrification plays a key role in decarbonizing energy consumption for various sectors, including transportation, heating, and cooling. There are several essential infrastructures for a smart city, including smart grids and transportation networks. These infrastructures are the complementary solutions to successfully developing novel services, with enhanced energy efficiency and energy security. This Special Issue includes high-quality papers that address issues related to cutting-edge smart city technologies in the electrification process, including but not limited to the following: Electrification of building environments and transportation systems; Role and impact of smart grids for smart cities; ICT and IoT infrastructures with big data for smart city electrification; Market, services, and business models for smart city electrification; Standards and implementation for smart city electrification; Advanced smart grid technology integration in smart cities, such as energy storage, demand-side management, and distributed energy resources.
    Keywords: coordinated operation ; natural gas network ; electrical network ; credit rank indicator ; data fusion ; main drive chain ; fault diagnosis ; wind turbine ; demand response programs ; social welfare maximization ; utility function ; power supply–demand balance ; electricity price ; rebate level ; fault-cause identification ; transmission line ; sparse learning ; multiview learning ; feature selection ; solar irradiance forecasting ; short-term and long-term predictions ; machine learning ; support vector machine ; Facebook Prophet ; contextual optimisation ; adaptive kernel ; multiple classifiers ; graph theory ; hydraulic model ; multi-criteria decision-making ; electric city bus ; energy consumption ; winter ; weather ; temperature ; infrastructure ; driving style ; cooling ; heating ; emissions ; Blockchain ; technology adoption theories ; technology adoption models ; systematic review ; multi-view learning ; subspace representation ; graph learning ; one-step clustering ; cyber security ; software-defined networking ; network security ; cyber-physical systems ; cross-layered ; power systems ; demand response ; coordinated preheating ; inverter air conditioner ; equivalent thermal parameter model ; smart grid ; e-bus powertrain ; tuning and optimization ; iSOPT ; digital twins ; internet-of-things ; local energy markets ; consumer digital twin ; transactive energy ; thermal comfort ; DER ; transportation ; influencing factors ; index decomposition approach ; 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: 2024-04-14
    Description: Commodity markets have evolved substantially since the early 2000s and have become more financialized. The recent cold war between the U.S.A. and China, the outbreak of COVID-19, and Russia's invasion of Ukraine have caused resource prices to soar, leading to greater volatility in the commodity markets. The volatility of the commodity markets has increased, and at the same time, financial markets such as the stock market, bond market, and foreign exchange market have become unstable. This has increased the linkage between the commodity and financial markets and has led to a great deal of attention being paid to the commodity markets by governments, companies, and investors.This reprint delves into recent developments in the commodity markets and elucidates the multifaceted factors that have shaped their trajectory. It examines how the interwoven dynamics of supply and demand, geopolitics, technology, and financialization have brought about a new era in commodity trading. By providing a comprehensive survey of these developments, we aim to provide insights that will help stakeholders successfully navigate the challenges and opportunities presented by this evolving landscape.
    Keywords: Russia and Ukraine conflict ; commodities ; G7 and BRIC markets ; TVP-VAR ; connectedness ; oil price uncertainty shocks ; international equity markets ; global vector autoregressive model ; arbitrage ; efficiency ; futures ; liquidity ; market integration ; platinum ; COVID-19 ; pandemic ; agriculture ; commodity ; MF-DFA ; high frequency ; asymmetric volatility spillover ; bitcoin ; altcoin ; cryptocurrency ; frequency connectedness ; Bitcoin ; machine learning ; random forest regression ; LSTM ; energy market volatility ; oil price dynamics ; fear index ; Markov-regime switching models ; volatility risk premium (VRP) ; implied and realized volatility ; oil and stock returns ; financialization ; Bermudan commodity options ; multi-layer perceptron ; multi-asset stochastic volatility model ; hybrid forecasting approaches ; two-step forecasting approaches ; gold ; euro ; sentiment analysis ; ARIMA ; wavelet transformation ; seasonal decomposition ; long short-term memory ; random forest ; eXtreme gradient boosting ; stock ; markets ; cycles ; investing ; risk ; returns ; thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items
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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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: The present reprint contains the 11 papers that were accepted and published in the Special Issue “Applied and Computational Mathematics for Digital Environments” of the MDPI Mathematics journal. The topics of interest include, among others, scientific research, applied tasks, and problems in the following areas: The construction of mathematical and information models of intelligent computer systems for monitoring and controlling the parameters of digital environments; The development of intelligent optimization algorithms that search for optimal parameter values of mathematical and information models in digital environments; Software and mathematical technologies in the implementation of intelligent monitoring and computer control of the parameters of digital environments; The development and application of mathematical and information models, machine learning methods, and artificial intelligence for the analysis and processing of big data in digital environments. I hope that this reprint will be useful to those who are interested in the real-world applications of applied and computational mathematics for digital environments in terms of solving actual, practical problems in all spheres of human life and activity.
    Keywords: mathematical model for evaluating the effectiveness of integrating information technology ; digital platforms ; virtual simulation infrastructures ; experimental virtual environment ; statistics ; multiscale analysis ; data analysis ; system on chip ; increasing traffic capacity ; percolation threshold ; transport link density ; transport network ; density of transport links ; computer algebra system ; wxMaxima ; Calculus ; symbolic computation ; mobile agents ; timeouts ; knowledge as set of trees ; behavioural equivalences ; nonlinear dynamics ; processes in social systems ; Fokker-Planck equation ; power law ; monitoring ; management ; image segmentation ; complex numbers ; CNN classifier ; outdoor environments ; relaxation subgradient methods ; space dilation ; nonsmooth minimization methods ; machine learning algorithm ; control synthesis ; optimal control ; stabilization ; symbolic regression ; machine learning ; evolutionary algorithm ; mobile robot ; problem decomposition ; large-scale global optimization ; self-adaptive differential evolution ; memetic algorithm ; cooperative co-evolution ; decision-making ; oncological disease ; kNN classifier ; SVM classifier ; dataset ; features ; UMAP algorithm ; entropy ; fractal dimension ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The reprint presents new approaches for bio- and immunosensors with nanodispersed labels and their optical registration. The use of nanoparticles as carriers and labels provides possibilities for simple measurements and reaching low detection limits. In this way, novel sensors obtain competitive advantages and good potential for implementation into diagnostic practice. The collected articles demonstrate the current state of developments and their most promising directions in the creation and characterization of such optical sensors.
    Keywords: mycotoxin ; food processing ; migration and transformation ; metabolites ; UPLC–MS/MS ; high-sensitive digital detection ; quantification ; functionalized gold nanoparticles ; microchips ; β-lactamases ; antibiotic-resistant bacteria ; luminescent composite particles ; carbon nanostructures ; luminescent carbon-based nanomaterials ; silica nanoparticles ; luminescence ; immunochromatography ; test strips ; RBD protein ; COVID-19 ; coronavirus ; microRNA detection ; polymerase-free isothermal amplification of nucleic acids ; mismatched catalytic hairpin assembly ; sulfonylureas ; broad-specificity ; antibody ; immunoassay ; adulteration ; functional foods ; thermoresponsive ; silver nanoparticles ; SERS ; 4-mercaptophenylboronic acid ; amphiphilic diblock copolymer ; poly(N,N-dimethylaminoethyl methacrylate) ; laser-induced aggregation ; plasmonic heating ; local laser exposure ; point-of-care test ; rapid diagnosis ; infectious diseases ; single-epitope sandwich ; double-epitope sandwich ; lumpy skin disease ; surface-enhanced Raman scattering (SERS) ; aptasensor ; SARS-CoV-2 virus ; surface-enhanced Raman spectroscopy ; influenza A virus ; influenza B virus ; detection ; machine learning ; catecholamines ; dopamine ; neurotransmitter ; resonance Raman spectroscopy ; surface-enhanced Raman spectroscopy (SERS) ; 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: 2024-03-28
    Description: The use of composite materials is ubiquitous in every field of human activities, including in the agricultural, industrial, environmental, biomedical and transport sectors. After a pandemic with the simultaneous unfolding of an energy and climatic crisis, we now realize how necessary it is to carry out studies on composite materials based on polymers to positively affect our current society and, in particular, future generations.To this aim, in the present selection of scientific articles we have given visibility to worthy contributions on a wide variety of topics, highlighting how essential plastic-based composite materials and their derivatives are in our daily lives. The articles in this Special Issue were wide-ranging and devoted to the properties and characterization of composites for innovative and strategic applications and, more generally, for the development of the chemical–physical properties of these materials.
    Keywords: recycled borosilicate ; PTFE ; sintering ; permittivity ; high-frequency ; substrates ; carbon fibers ; polymer-matrix composites (PMCs) ; thermoplastic resin ; surface treatment ; ethylene vinyl acetate copolymer ; EVA nanocomposite ; Layered Double Hydroxide (LDH) ; photo-oxidation ; degradation ; gas permeation ; ball milling ; doping ; carbon nanotubes ; functionalization ; optical characterization ; DFT ; solar cells ; bulk fill ; composite resin ; restorative materials ; surface characterization ; energy-dispersive X-ray spectroscopy ; scanning electron microscopy ; microbial adherence ; bioreactor ; bacterial biofilm ; Streptococcus mutans ; composite polymer materials ; hollow profile ; 3D printing ; fused deposition modeling ; FEM analysis ; SEM analysis ; flax/PLA ; polymer-matrix composites ; hybrid ; particle-reinforcement ; mechanical properties ; electron microscopy ; surface treatments ; cotton fabric ; TiO2 nanoparticles ; citric acid ; Quat 188 ; curcumin ; antibacterial ; UV blocking ; durability ; carbon-fiber composite ; 3D reinforced composite ; digital image correlation ; destruction ; cold climate ; epoxy binder ; basalt fiber ; BFRP ; rebar ; moisture uptake ; diffusion coefficient ; Fick’s diffusion ; PCM ; acrylic resin ; candidiasis ; nanodiamonds ; surface properties ; polymerization ; PLA ; HDPE ; biocomposites ; mold ; bark ; resins ; carbon fiber cloth ; sandwich structure ; graphene ; absorbing performance ; mechanical property ; polymeric composites ; composite technology ; vacuum infusion ; process modeling and optimization ; multi-criteria decision ; Pareto frontier ; dental prosthesis biopolymer ; hardness ; tensile bond strength ; thermoplastic composites ; reactive injection pultrusion ; impregnation ; numerical simulation ; void content ; hygrothermal aging ; micromechanics ; failure mechanism ; metal/composite ; L-joint ; bonding length ; failure mode ; equivalent ; RVE ; filament winding ; winding trajectory ; composite casing ; polymer composite ; nitrile butadiene rubber ; phenolic resin ; rheology ; nanoparticles ; organoclay ; thermal stability ; marine biomaterials ; marine origin biopolymers ; factorial design ; optimization ; cryo-environment ; cartilage tissue ; triaxial geogrid ; stretching process ; composite manufacturing ; thermosetting polymers ; cure behaviour ; process monitoring ; in situ cure monitoring ; sensors ; squeezing mechanical analysis ; rubber strip cold-feed process ; viscoelastic rubber strip ; embolic agent ; hemodynamics ; arteriovenous malformation (AVM) ; CFD ; rotomolding ; microwave heating ; microwave-active materials ; polyethylene processing ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue collates seven papers regarding the assessment or monitoring of hydrological disasters such as droughts and flood using remote sensing and geography information system (GIS) techniques.. The new published research focused on evaluations and models of various hydrological hazards such as droughts and floods. Furthermore, we include two original scientific articles addressing the subject of water quality. This Special Issue received investigations based on different techniques such as remote sensing, GIS, machine learning and monitoring. All papers present findings characterized as unconventional, provocative, innovative and methodologically new. Scientific findings presented in this Special Issue highlight how a combination of various modern analysis techniques (e.g., remote sensing, GIS) can improve our understanding of complex hydrological hazards such as droughts and floods. We hope that the research contained within this Special Issue is useful to the scientific community, policymakers and stakeholders at large in the field of hydrological hazards.
    Keywords: GRACE ; drought ; mainland China ; extreme climate ; climatic conditions ; urban floods ; rainfall movement direction (RMD) ; rainfall intensity (RI) ; peak runoff ; Linear Directional Mean (LDM) ; Shenzhen ; flood forecasting ; error correction ; residual property ; ridge coefficient criterion ; rainstorm mode ; high dimension ; dimension reduction ; cluster ; surface water ; monitoring history ; change trends in surface water quality ; water quality protection ; “Thirteenth Five-Year Plan” period ; water environment quality ; Heilongjiang Province ; correlation analysis ; manifold learning ; machine learning ; spatial–temporal distribution of rainstorms ; feature extraction ; Beijing ; 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
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Thanks to the breast cancer research of recent decades, effective methods and strategies have been established, allowing the mortality rates of breast cancer patients to decrease more and more. However, we still face many challenges. The role of certain biomarkers or mutations is still not clear for treatment and surveillance. Novel drugs are often associated with a different spectrum of adverse events than that seen for conventional therapies, accordingly having an impact on patients’ compliance behaviors. In breast cancer surgery, in some cases, the question remains whether to escalate or deescalate. Additionally, with regard to diagnostics, in a digitalized world, home-based tools and therapy monitoring options are of high importance, especially under the tough conditions and supply problems seen during the COVID-19 pandemic.This Special Issue gathers original research articles and reviews demonstrating therapeutic challenges, current research strategies, and novel diagnostics in breast cancer.
    Keywords: pannexin 1 (PANX1) ; neutrophils ; adenosine ; tumor microenvironment (TME) ; breast cancer ; ER heterogeneity ; 18F-FES PET/CT ; diagnosis ; treatment pattern ; metastatic breast cancer ; heterogeneity ; HER2 ; 18F-fluorodeoxyglucose positron emission tomography/computed tomography ; pyrotinib ; therapy response ; oncotype DX ; recurrence score ; individualized therapy ; advanced breast cancer ; breast cancer susceptibility genes 1 and 2 ; genetic testing ; human epidermal growth factor receptor 2—negative ; poly(adenosine diphosphate-ribose) polymerase inhibitors ; real-world ; machine learning ; neoadjuvant systemic treatment ; lymph node metastasis ; phytochemicals ; nanocarriers ; chemotherapy ; drug resistance ; risk prediction models ; breast cancer screening ; risk assessment ; risk-based screening ; localization technique ; non-palpable lesion ; intraoperative ultrasound ; wire-guided localization ; magnetic seed ; radioactive seed ; radar reflector ; radiofrequency identification tag ; oncology ; telemedicine ; telerehabilitation ; psychological well-being ; cognitive impairment ; rehabilitation ; cancer side effects ; metastasis ; treatment ; human epidermal growth factor receptor 2 ; hormone receptor ; registries ; endocrine treatment ; CDK4/6 inhibitor ; abemaciclib ; dalpiciclib ; palbociclib ; ribociclib ; Contrast-Enhanced Mammography ; Digital Breast Tomosynthesis ; Average Glandular Dose ; TNBC ; LEMD1 ; ERK ; therapeutic target ; BOUNCE ; coping self-efficacy ; fear of cancer recurrence ; latent growth modeling ; trajectories ; n/a
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint, “Causal Inference for Heterogeneous Data and Information Theory”, is a special issue of Journal Entropy. This Special Issue belongs to the section "Information Theory, Probability, and Statistics". The reprint gathers thirteen original contributions of leading experts in the theory of causal inference, focusing namely on the utilization of instrumental variables in a causal model, estimation of average treatment effect, the role of interventions in causal models, graphical causal modeling, causal algebras, causal modeling using the theory of categories, temporal causal model, heterogeneous data, and information–theoretic approaches.
    Keywords: common hidden cause ; graphical models ; probabilistic models ; Chain Event Graphs ; interventions ; causal calculus ; causal fairness ; responsible data science ; causal discovery ; Hawkes process ; high-dimensional statistics ; hidden confounder ; causality ; Bitcoin ; inflation ; yield spreads ; approximation theory ; Hellinger distance ; Kullback–Leibler divergence ; correct specification ; misspecified models ; causal inference ; instrumental variables ; neural networks ; doubly robust estimation ; semi-parametric theory ; instrumental variable ; causal graph ; non-Gaussianity ; causal graphs ; dynamic systems ; causal learning ; time ; continuous ; event cognition ; econometrics software ; causal machine learning ; statistical learning ; conditional average treatment effects ; individualized treatment effects ; multiple treatments ; selection-on-observables ; piecewise linear ; thresholds model ; causal Inference ; regularization ; BART ; Stan ; machine learning ; heterogeneous treatment effects ; multilevel data ; grouped data ; artificial intelligence ; higher-order category theory ; statistics ; 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: 2024-04-11
    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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: The construction industry is growing rapidly and time has changed the construction methods used. The traditional way of construction is becoming obsolete and technology is taking over. In this case, sustainable construction is the future and the new norm in the construction industry. Although there are various opportunities in this sector, there are also some challenges that exist and hinder productivity. Hence, this reprint covers the opportunities and challenges in sustainable construction.
    Keywords: thin film ; organic solar cell ; efficiency ; DBR ; temperature ; life cycle ; impact assessment ; recycled material ; geopolymer concrete ; sustainability ; workforce diversity ; technical skills ; motivation ; psychosocial ; construction worker ; productivity ; BIM ; post-disaster reconstruction ; construction industry ; scientometric analysis ; visualization ; PRISMA ; review ; RWL ; time series ; RHR ; seasonality ; prediction ; ANN ; SARIMA ; wastewater ; oil palm leaves activated carbon ; chemical activation ; COD ; adsorption ; green technology ; marble dust ; air pollution ; health hazards ; environmental pollution ; econometric analysis ; construction sector ; sustainable construction ; circular economy ; forecasting ; causal loop diagram ; construction management ; resilient supply chain ; sustainable supply chain ; supply chain management ; systems thinking ; forecasting models ; energy consumption ; smart buildings ; machine learning ; LSTM technique ; GIS ; PCA ; groundwater quality ; health risk ; solid waste ; error management climate ; psychological capital ; job stress ; aeronautical industry ; structural equation modeling ; IR 4.0 ; health and safety ; AHP ; barriers ; small contractors ; SEM ; Malaysia ; economy ; eco-materials ; energy ; environmental impact ; lean construction ; pollution ; prefabricated construction ; mediation analysis ; trust ; satisfaction ; 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: 2024-04-08
    Description: This volume gathers papers from the fields of philosophy, theology, and empirical psychology on the topic of gratitude to God. Central themes include the difference between gratitude to God and gratitude to human benefactors and correlations between gratitude to God and important life outcomes.
    Keywords: gratitude ; religiosity ; spirituality ; well-being ; Aquinas ; virtue ; religion ; gratitude to God ; health ; federal funding ; systematic review ; conceptual metaphor ; analogy ; anthropomorphism ; God concepts ; gratitude expressions ; public gratitude ; social media ; data science ; machine learning ; challenges ; review ; God ; supernatural attribution ; gift ; divine attributions ; religious attributions ; religious appraisals ; measurement ; religious belief ; liturgy ; group action ; joint action ; social ontology ; extraversion ; optimism ; vitality ; self-esteem ; agreeableness ; honesty–humility ; entitlement ; secure attachment ; construal ; religiousness ; Christianity ; theism ; Dietrich Bonhoeffer ; Jonathan Edwards ; Soren Kierkegaard ; Karl Barth ; creation ; Mozart ; Beethoven ; Bible ; doctrine of Scripture ; tradition ; inspiration ; church ; canon ; theology ; acceptance ; pantheism ; axiarchism ; ultimism ; Stoicism ; Kierkegaard ; local evils ; suffering ; transcendent gratitude ; cosmic gratitude ; transcendence ; beliefs ; case study ; qualitative ; doubt ; atheism ; agnosticism ; bic Book Industry Communication::H Humanities::HR Religion & beliefs ; thema EDItEUR::Q Philosophy and Religion::QR Religion and beliefs
    Language: English
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