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  • bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues  (278)
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  • English  (513)
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  • 1
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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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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This Reprint Book provides recent studies addressing encapsulation systems for active compounds (e.g., drugs and food ingredients) to improve the quality of life around the world. The content may be helpful for the colleagues and students working on encapsulation of active compounds.
    Keywords: carboxymethyl chitosan ; mangosteen ; deodorant ; skin moisturizing ; trans-2-nonenal ; accelerated stability test ; guava ; carotenoids ; microencapsulation ; mucilage ; spray-drying ; aloe vera ; Opuntia ficus-indica ; ar-turmerone ; polymeric nanoparticles ; anticancer activity ; release study ; biodegradable polymers ; apple fiber ; trehalose ; sucrose ; blackberry phenolics ; blackberry volatiles ; starch ; Bisphenol A ; Moringa leaf extract ; encapsulating Moringa leaf extract ; nanoparticles ; alginate ; chitosan ; Ib-M peptides ; E. coli ; peptide stability ; polyethylene glycol methacrylate ; oregano ; phenolic compounds ; nanoencapsulation ; bioaccessibility ; curcumin ; zebrafish embryogenesis ; oxidative stress ; neuroprotection ; PCL nanoparticles ; paraquat ; grafted microparticles ; sodium hyaluronate ; crosslinked microparticles ; metronidazole adsorption ; adsorption isotherm ; adsorption kinetics ; metronidazole release ; polyelectrolyte ; complex coacervate ; polyamine ; stimulus-responsive materials ; controlled release ; encapsulation ; hybrids ; clay ; sodium alginate ; rosemary essential oil ; 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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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-08-08
    Description: This reprint focuses on both advanced metals and their alloys and the areas of physical and process metallurgy, materials science, and processing techniques. Specific areas of interest also include titanium/nickel-based superalloys, intermetallics, advanced metallic materials, nanomaterials, metal matrix composites, functional materials, related synthesis and processing techniques, finite element modelling, statistical analysis, physical/mechanical property characterization, experimental validation, and other relevant phenomena. Physical metallurgy is important in the design and optimization of advanced materials with superior physical and mechanical properties through microstructural modifications and processing techniques. The goal of reprint was to bring together recent progress, novel technologies, and advanced equipment for the design and development of advanced metals and alloys and provide guidelines/benchmarks for further research in related areas. Composites, intermetallics, and nanomaterials as well as functional materials will be also included. Some of the recent advances in the field of advanced metals and alloys include novel material processing techniques, manufacturing methods and theories, microstructural characterization, modelling development, and advanced equipment. Conventional and nonconventional processes related to machining, forming, laser processing, additive/subtractive manufacturing, surface modification, and the solidification of high-performance alloys/metals are also included.
    Keywords: Fe-rich Al–Si alloy ; β-Al5FeSi phase ; cooling rate ; melt spinning ; microstructure ; strengthening mechanisms ; Zn-Mg-Ti alloy ; biodegradable metals ; mechanical properties ; cytotoxicity ; Fe-B-W alloy ; manganese ; aluminum ; molten zinc ; microanalysis ; corrosion ; hydrogenated–dehydrogenated titanium powder ; laser directed energy deposition ; mechanical property ; radio frequency plasma technique ; high entropy alloy ; bulk metallic glass ; similar element substitution/addition ; glass forming ability ; lattice distortion ; sapphire ; surface metallization ; deposition mechanism ; wettability ; low-temperature joining ; silver alloy bonding wire ; bonding strength ; vulcanization resistance ; cathodic passivation ; Mg–Nd alloy ; precipitate ; eutectic growth ; modelling and simulation ; recrystallization ; microstructure-property characterization simulation and modeling ; heat treatment and surface treatment ; TC4 alloy ; EBCHM ; aging treatment ; glass-forming ability ; corrosion behavior ; amorphous alloy ; phase transformation ; mechanical behavior ; corrosion wear resistance ; gear grinding ; white layer ; grinding temperature ; surface integrity ; AlSi10Mg alloy ; friction stir processing ; grain boundary ; texture ; dynamic recrystallization ; silver wire ; wire bonding ; chloride ions ; ion migration ; galvanic corrosion ; Cu-15Ni-8Sn alloys ; grain size ; solution treatment ; microalloying ; microstructural evolution ; laser-powder bed fusion ; MgAl2O4 ; TiB2 ; metallothermic reduction ; SHS powder metallurgy ; combustion wave propagation ; HSLA steel ; microstructural characterization ; laser welding ; thick plate ; corrosion resistance ; high entropy alloys ; lightweight ; magnesium alloys ; ultrasound treatment ; solution ; aging ; Mg17Al12 ; converter ; vortex ; flow field analysis ; numerical simulation ; steel ball ; skew rolling ; cold forming ; stainless steel ; copper–scandium CuSc ; copper alloy ; differential scanning calorimetry DSC ; precipitation kinetics ; cold-working ; cold-rolling ; activation energy ; Kissinger method ; 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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  • 4
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    Springer Nature | Springer Nature Switzerland
    Publication Date: 2024-04-14
    Description: This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)
    Keywords: process mining ; process discovery ; process analytics ; process querying ; conformance checking ; predictive process monitoring ; data science ; knowledge graphs ; event data ; streaming analytics ; machine learning ; deep learning ; business process management ; health informatics ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBH Digital and information technologies: Health and safety aspects
    Language: English
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  • 5
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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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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: This Special Issue covers manufacturing of a smart polymer composites via choice of ingredients, such as polymer, filler, and additives, as well as their unique composition. It also covers the smart processing of polymer composites, which is influenced by the choice of mixers, processing condition, processing technique, etc.
    Keywords: thermoplastic polyurethane ; expanded bead ; supercritical CO2 foaming ; expansion ratio ; resilience ; hardness ; poly(lactic acid) ; lignin ; maleic anhydride ; chemical modification ; 3D printing filament ; SEBS ; membrane ; water uptake ; impedance spectroscopy ; ionic conductivity ; phlogopite ; natural rubber (NR) ; ethylene-propylene-diene monomer rubber (EPDM) ; mechanical properties ; compatibility ; nylon 6 ; polyketone ; chain extender ; hydrogen bonding ; chain branching ; chain crosslinking ; melt viscosity ; shape memory polymer ; NIR light responsive ; semicrystalline maleated polyolefin elastomer ; polyaniline ; melt blending ; adhesive ; fluorosilicone ; thermal conductivity ; magnesium oxide ; boron nitride ; syntactic foams ; hyperbranched polymer ; polyamide 6 ; hollow glass microsphere ; lubricant ; compatibilizer ; composites ; silica ; silane ; hydrolysis ; interfacial adhesion ; zinc mechanism ; hybrid flame retardant materials ; influence of gypsum ; minimum total heat release ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 7
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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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  • 8
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-04
    Description: Numerical simulation is a powerful tool used in various fields of science and engineering to model complex systems and predict their behavior. It involves developing mathematical models that describe the behavior of a system and using computer algorithms to solve these models numerically. By doing so, researchers and engineers can study the behavior of a system in detail, which may only be possible with analytical methods. Numerical simulation has many advantages over traditional analytical methods. It allows researchers and engineers to study complex systems’ behavior in detail and predict their behavior in different scenarios. It also allows for the optimization of systems and the identification of design flaws before they are built. However, numerical simulation has its limitations. It requires significant computational resources, and the accuracy of the results depends on the quality of the mathematical models and the discretization methods used. Nevertheless, numerical simulation remains a valuable tool in many fields and its importance is likely to grow as computational resources become more powerful and widely available. Numerical simulation is widely used in physics, engineering, computer science, and mathematics. In physics, for example, numerical simulation is used to study the behavior of complex systems such as weather patterns, fluid dynamics, and particle interactions. In engineering, it is used to design and optimize systems such as aircraft, cars, and buildings. In computer science, numerical simulation models and optimization algorithms and data structures. In mathematics, it is used to study complex mathematical models and to solve complex equations. This book familiarizes readers with the practical application of the numerical simulation technique to solve complex analytical problems in different industries and sciences.
    Keywords: machine learning ; artificial intelligence ; optimization ; heat transfer ; cfd ; image processing ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
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  • 9
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    Taylor & Francis | CRC Press
    Publication Date: 2023-09-12
    Description: Transition Engineering: Building a Sustainable Future examines new strategies emerging in response to the mega-issues of global climate change, decline in world oil supply, scarcity of key industrial minerals, and local environmental constraints. These issues pose challenges for organizations, businesses, and communities, and engineers will need to begin developing ideas and projects to implement the transition of engineered systems. This work presents a methodology for shifting away from unsustainable activities. Teaching the Transition Engineering approach and methodology is the focus of the text, and the concept is presented in a way that engineers can begin applying it in their work.
    Keywords: building life-cycle cost analysis;energy policies;environmental costs;global climate change;input-output analysis;local environmental constraints;resource management;sustainability;transition engineering;world oil supply ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RN The environment::RNK Conservation of the environment ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RP Regional & area planning::RPC Urban & municipal planning ; bic Book Industry Communication::P Mathematics & science::PH Physics::PHD Classical mechanics::PHDY Energy ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials::TGB Mechanical engineering
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Processing and Conversion of Oil and Gas: Modeling, Control, Simulation, and Optimization describes the core of the activity of petrochemical engineers, process controller engineers, industrial engineers, energy engineers, and researchers in the oil and gas field. This reprint explores the modeling, control, simulation, and optimization of new and revamped petrochemical processes using proven software. Thus, it offers novel illustrative examples, prospective applications, and solutions to improve these processes. This reprint aims to combine theoretical principles with examples modeled by commonly used simulation software employing steady-state or dynamic process simulation. Furthermore, applying numerical methods and optimization at both the theoretical and practical levels is within the scope of this reprint.
    Keywords: jet stability ; swirl ; twist ; dominant mode ; Brassica Napus ; fatty acid methyl esters ; 2-Ethyl-2-hydroxymethyl-1,3-propanediol ; viscosity ; batch reactor ; kinetics ; self-excited oscillation pulse jet ; nozzle ; large eddy simulation ; peak velocity ; cavitation number ; coal tar ; wash oil ; nitrogen-containing compounds ; indole ; formamide equilibrium extraction ; price bubbles ; bubble length ; petroleum products ; GSADF ; Pakistan ; pipeline safety ; risk classification ; pipeline failure ; fuzzy analytic hierarchy process ; pipeline risk assessment ; shale gas pipelines ; pressure gradient ; gas–liquid two-phase flow ; flow patterns ; Generalized Additive Model ; dimensionless numbers ; discrete element method ; optimal design ; simulation analysis ; anti-corrosion pill particles ; butyl acetate ; acetic acid ; n-butanol ; esterification ; membrane reactor ; reactive distillation ; amberlyst-15 catalyst ; energy efficiency ; economic evaluation ; methyl isobutyl ketone (MIBK) ; acetone self-condensation ; selective hydrogenation ; process development ; heat integration ; economic analysis ; nano-Pd/nano-ZnCr2O4 catalyst ; dimethyl carbonate ; dimethyl oxalate ; oxidative carbonylation ; azeotropic distillation ; profitability analysis ; 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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  • 11
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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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  • 12
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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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  • 13
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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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  • 14
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    IntechOpen | IntechOpen
    Publication Date: 2023-09-05
    Description: Following the success of the first, second and third volumes of this series, we are keen to continue our discussions on research topics related to the fields of food science, intelligent systems, molecular biomedicine, water science, and creation and theories of culture. Our aims are to discuss the latest topics, theories, and research methods in each of these fields, to promote debate among top researchers and graduate students and, in the process, to generate collaborative work.
    Keywords: bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 15
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: Virtual and augmented reality technology has seen tremendous progress in recent years, enabling novel and exciting ways to interact inside virtual environments. An interesting approach to interaction in VR and AR is the use of tangible user interfaces, which leverage on our natural understanding of the physical world and how our bodies move and interact with it, and on our learned capabilities to manipulate physical objects.For this Special Issue, we are interested in gathering research that bridges atoms and bits in virtual and augmented environments. Basic research papers that demonstrate new interaction technologies or techniques, descriptions of applications that use tangibles in VR/AR in any domain, and survey papers that can help structure and systematize current knowledge on this area are all suitable.
    Keywords: virtual reality ; haptic feedback ; tactile sensation ; sound source localization ; deaf and hard-of-hearing ; visual positioning system ; convolutional neural network ; three-dimensional object pose estimation ; voxel ; perspective-n-point ; digital taste ; galvanic taste stimulation ; taste augmentation ; mulsemedia ; taste modulation ; augmented reality ; PCNL ; simulation ; surgical rehearsal ; surgery ; immersive environment ; cognitive impairment ; physical disability ; unity ; rehabilitation ; intention prediction ; gaze-based interaction ; laparoscopic AR navigation ; liver surgery ; 3D image registration method ; point cloud registration ; collaborative robotics ; acceptability ; uncanny valley ; user experience ; extended reality ; artificial intelligence ; classification ; control ; motor rehabilitation ; prosthesis ; stroke ; surface electromyography signals ; user interface ; pseudo-haptic ; human-centered computing ; mixed and augmented reality ; game-based learning ; fantasy ; situated learning ; serious game ; embodied interaction ; data visualization ; node-link diagram ; immersive communication ; VR conference room ; panoramic live broadcast ; spatial audio ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 16
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The aim of this Special Issue is to gather recent advances and development in target tracking techniques to determine how they can be adapted for modern radar and sonar systems. After peer review, 17 articles in related areas have been accepted for publishing in this Special Issue. The published articles cover a range of topics and applications central to target tracking. There are eight papers about general multi-target tracking, including the topics of joint tracking and classification [3], adaptive estimation using clutter measurement probability [6], joint localization and tracking [7], extended target tracking [8], tracking with smoothing [11], DOA tracking [12], tracking under low detection probability [14], and sonar tracking and interception [17]. Three papers address multi-sensor multi-target tracking methods. Specifically, a multi-target estimating method for pulsed radar systems is proposed in [2], a joint dwell time and bandwidth optimization method in a radar network is proposed in [4], a and multiple marine ship tracking method with unknown backgrounds is presented in [9]. There are 2 papers [10,15] on the problem of target assignment in multi-sensor multi-target tracking. Moreover, Mallick et al. considered measures of nonlinearity of a polynomial curve in two dimensions [1], Zhao et al. explored the use of calibration targets for which the positions are known to the MPR system, to counter the loss in target localization accuracy arising from transmitter/receiver position errors [13], and Li et al. proposed an algorithm to apply the frequency diversity technique to passive azimuth estimation in [16].
    Keywords: Target tracking ; target detection ; radar system ; sonar system ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 17
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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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  • 18
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-11
    Description: This book includes six chapters on wind turbine icing. For wind turbines operating in cold regions, icing often occurs on blade surfaces in winter. This ice accretion can change the aerodynamic shape of the blade airfoil, causing performance degradation and loss of power generation, even leading to operational accidents. This book focuses on the recent research progress on wind turbine icing. Chapters address such topics as the effect of icing conditions on the icing distribution characteristics of a blade airfoil for vertical-axis wind turbines, power loss estimation in wind turbines due to icing, wind turbine icing prediction methods, especially those using machine learning, the icing process of a single water droplet on a cold aluminum plate surface, the main theories of the icing adhesive mechanism, and theoretical and experimental studies on the ultrasonic de-icing method for wind turbine blades. This book is a valuable reference for researchers and engineers engaged in wind turbine icing and anti-icing research.
    Keywords: machine learning ; cfd ; numerical simulation ; artificial neural network ; wind energy ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering
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  • 19
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: Due to the intensive development of the global economy, many problems are constantly emerging connected to the safety of ships’ motion in the context of increasing marine traffic. These problems seem to be especially significant for the further development of marine transportation services, with the need to considerably increase their efficiency and reliability. One of the most commonly used approaches to ensuring safety and efficiency is the wide implementation of various automated systems for guidance and control, including such popular systems as marine autopilots, dynamic positioning systems, speed control systems, automatic routing installations, etc. This Special Issue focuses on various problems related to the analysis, design, modelling, and operation of the aforementioned systems. It covers such actual problems as tracking control, path following control, ship weather routing, course keeping control, control of autonomous underwater vehicles, ship collision avoidance. These problems are investigated using methods such as neural networks, sliding mode control, genetic algorithms, L2-gain approach, optimal damping concept, fuzzy logic and others. This Special Issue is intended to present and discuss significant contemporary problems in the areas of automatic control and the routing of marine vessels.
    Keywords: collision avoidance ; ship domain ; fuzzy inference ; collision risk ; early warning system ; marine vessel ; tracking controller ; stability ; functional ; optimal damping ; fin stabilizer ; ship turning ; heel/roll reduction ; L2-gain ; uncertainty ; non-linearity ; ship motion control ; path-following ; guidance algorithm ; nonlinear feedback ; AIS Data ; trajectory prediction ; waterway transportation ; neural networks ; autonomous navigation ; multi-joint autonomous underwater vehicle (MJ-AUV) ; 3-dimensional modeling ; LQR ; LESO ; multicriteria route planning ; genetic algorithm ; particle swarm optimization ; oceanic meteorological routing ; cooperative game theory ; supply chain management ; supply disruption ; unmanned surface vehicle ; Guidance, Navigation and Control ; course keeping ; adaptive sliding mode ; unmanned surface vehicle (USV) ; system identification ; traditional neural network ; physics-informed neural network ; zigzag test ; 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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  • 20
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: Water resource systems planning and management issues are often very complex. The pressures on water resources are increasing with the expanding scale of global development involving ecological and hydrological consequences in river basins and groundwater aquifers, and water-quality deterioration. All this leads to the increasing need for investigating the effects of different human influences and impacts on the hydrological regime and on water quality like as land-use changes, climatic variability and climate changes, and intensified water and land-use practices. The Special Issue “Advances in Flow Modeling for Water Resources and Hydrological Engineering” presents a collection of scientific contributions that provides a sample of the state-of-the-art and forefront research in this field. In particular, basin-wide water resources planning, watershed management, flood forecasting, droughts, climate change impacts on flood risk and water resources, reservoir operation and management, river morphology and sediment transport, river water quality, and irrigation were the main research and practice targets that the papers published in this Special Issue aimed to address.
    Keywords: stream discharge ; near-natural catchment ; trend analysis ; NW Spain ; field-scale hydrological models ; DRAINMOD ; tile drainage ; nitrate leaching ; climate change ; venturi flume ; CFD ; OpenFOAM ; RANS ; turbulence model ; numerical simulation ; Parshall flume ; water balance ; Thornthwaite–Mather method ; Python ; serverless computing approach ; watershed hydrology ; Yukon River plume ; river discharge ; sediment load ; flocculation ; plunging ; underflow ; flood ; geological categories ; probability ; Medvednica Mt. ; Croatia ; numerical model ; shallow water equations ; dam break ; dry and wet beds modeling ; river flow ; open channels ; eddy viscosity ; parabolic profile ; streamwise velocity distribution ; turbulent kinetic energy (TKE) ; mixing length ; log law ; log wake ; hydrological modeling ; streamflow ; SWAT ; Venturi flume ; nonlinear model ; burned areas ; hydrological modelling ; infiltration capacity ; SCS-CN ; post-fire ; shock wave ; spillway ; spillway pier ; flat chute ; physical modeling ; hydrology ; tiling ; subsurface flow ; Iowa ; variational ensemble forecasting ; hydrologic processing strategies or hypotheses ; SR2MR streamflow forecasting ; real-time hydrologic forecasting system ; satellite precipitation products ; multi models ; best streamflow prediction ; inverse variance weighting ; inverse probability weighting ; representative concentration pathways 4.5 and 8.5 ; modified Mann–Kendall trend test ; Ziway Lake Basin ; Rift Valley ; Ethiopia ; maximum precipitation ; maximum flow ; gravel bed rivers ; skin friction ; flow resistance ; bed forms ; energy slope ; boundary layer characteristics ; abrupt negative step ; hydraulic jump ; energy loss ; momentum closure ; Boussinesq equations ; specified intervals ; MODIS ; evapotranspiration ; multi-variable calibration ; regional flood frequency ; ungauged catchments ; direct rainfall modelling ; headwater catchments ; Australia ; drought ; water ; water resources modelling ; flood forecast ; climate-change impacts ; river quality ; river morphology ; watershed management ; reservoir management ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 21
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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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  • 22
    Publication Date: 2023-09-11
    Description: This Proceedings reprint is a collection of papers from the E-Textiles 2022 Conference and represents the state of the art from both academia and industry in the development of smart fabrics that incorporate electronic and sensing functionality. The Proceedings reprint presents a wide range of applications of the technology, including wearable textile devices for healthcare applications such as ECG measurements and functional electrical stimulation. Manufacturing approaches include printed smart materials, knitted e-textiles and flexible electronic circuit assembly within fabrics and garments. Supplying power is a constant challenge for all wireless wearable technologies, and therefore this collection includes papers on triboelectric energy harvesting and zinc-ion batteries fabricated on top of textile substrates.
    Keywords: electronics ; wearables ; smart fabrics ; e-textiles ; sensing ; healthcare devices ; textile antennas ; energy harvesting ; printed electronics ; knitted e-textiles ; functional yarns&nbsp ; &nbsp ; 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: 2023-04-05
    Description: Additive manufacturing (AM) has been at the center of attention of studies and industry. The AM process involves gradual build-up in layers, and capability in the fabrication of complex shapes with low cost. Advances in the processing of polymers and polymer composites with this method are in the domain of this journal, which can provide a vital resource for anyone involved in additive manufacturing. This Special Issue cover original reviews and research articles dedicated to: AM processes of manufacturing and materials; Process–microstructure/morphology–properties relationships; Optimization of process parameters; Mechanical properties of fabricated parts; Modeling and simulation.
    Keywords: hybrid bio-inspired design ; nacre ; woodpecker beak ; mechanical performance ; failure mode ; finite element simulation ; Taguchi design ; ANOVA ; FFF ; response surface ; cylindricity ; process optimization ; polymer gear ; additive manufacturing ; differential pressure vacuum casting ; polyurethane resin ; abrasion ; fused filament fabrication ; temperature distribution modelling ; dynamic and static model ; thermal history ; impeller ; polymers ; polymer composites ; manufacturing process ; conventional manufacturing ; injection moulding ; performance ; face mask ; medical devices ; filtration performance ; 3D reconstruction ; customized implant ; PEEK ; accuracy evaluation ; finite element analysis ; 3D printing ; fused deposition modeling ; tensile testing ; infill rate ; crystallizable PET ; micromechanical model ; viscoplasticity ; temperature effect ; biaxial loading ; polylactic acid (PLA) ; dimensional deviation ; definitive screening design ; desirability function ; material extrusion ; rheological behavior ; mechanical properties ; temperature profile ; 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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  • 24
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: Emotion is a complex phenomenon that varies from person to person. Different emotional states of a person can be inferred through external and internal reactions that change in different situations. Emotion recognition has become a research milestone in cognitive science, neuroscience, computer science, psychology, artificial intelligence, and other areas. Emotion recognition research uses non-physiological signals such as facial expression, speech, and body movement, as well as physiological signals and images such as electrical skin resistance (GSR), heart rate (HR), electrocardiogram (ECG), functional magnetic resonance imaging (fMRI), electroencephalogram (EEG) and magnetoencephalogram (MEG). This book provides a comprehensive overview of the different techniques used in emotion recognition and discusses recent developments, perspectives, and applications in the field.
    Keywords: machine learning ; deep learning ; feature extraction ; emotional intelligence ; creativity ; consumer behavior ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability
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  • 25
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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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  • 26
    Publication Date: 2023-10-05
    Description: Changes in technology and adversary behavior will invariably produce new threats that must be assessed by defense and homeland security planners. An example of such a novel threat is the use of cruise missiles or unmanned aerial vehicles (UAVs) by terrorist groups. Individual threats cannot be assessed in isolation, however, since adversaries always have many options for staging attacks. To examine this threat, RAND utilized a ?red analysis of alternatives? approach, wherein the benefits, costs, and risks of different options are considered from the point of view of a potential adversary. For several types of attacks, the suitability of these systems was compared against other options. This approach can help defense planners understand how the capabilities that different attack modes provide address key adversary operational problems. Given the insights this analysis produced about when these systems would likely be preferred by an attacker, RAND explored defensive options to address the threat. UAVs and cruise missiles represent a ?niche threat? within a larger threat context; therefore, defenses were sought that provide common protection against both this and other asymmetric threats. The monograph concludes with a discussion of cross-cutting lessons about this threat and the assessment of novel threats in general.
    Keywords: Technology ; Political Science ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPW Political activism::JPWL Terrorism, armed struggle ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TT Other technologies & applied sciences::TTM Military engineering
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  • 27
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This Proceedings reprint comprises a collection of the papers presented at the second International Conference on Computational Engineering and Intelligent Systems, held online in the period 18–20 November 2022. The conference focused on computational engineering including modeling, simulation, analysis, and intelligent systems driven by computing and artificial intelligence. The papers included in this collection deal with a range of topics including smart grids, renewable energies, intelligent safety and control systems, power quality and cloud computing.
    Keywords: Computational Engineering ; Intelligent systems ; Optimization ; Artificial Intelligence ; &nbsp ; 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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  • 28
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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
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  • 29
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This is a timely collection of recent diverse work on metal oxide nanomaterials, connecting their fundamental aspects and application perspectives in a concise fashion to give a broad view of the current status of this fascinating field. This book presents eight original research articles and two comprehensive reviews to highlight the recent development and understanding of different types of metal oxide nanoparticles and their use for applications in luminescence, photocatalysis, water–oil separation, optoelectronics, gas sensors, energy-saving smart windows, etc. It presents just the tip of the iceberg of the broad, dynamic, and active fundamental research and applications in the developing field of metal oxide nanomaterials by collecting a few examples of the latest advancements.
    Keywords: photoinduced hydrophilicity ; surface energy ; heterostructures ; charge transfer ; work function ; adsorbed water ; nanocarrier ; nanoparticle ; age-dependent adsorption ; Langmuir isotherm ; deoxynucleoside monophosphate ; silica@zirconia ; core@shell ; solution NMR ; buffer interference with adsorption ; VO2 ; phase change material ; flexible thin film ; thermochromics ; energy efficient materials ; RF magnetron sputtering ; ZnO:N thin films ; Raman spectroscopy ; photoluminescence spectroscopy ; electrical characteristics ; charge carrier transport properties ; nanostructured surface ; wettability ; metal fiber felt ; oil–water separation ; emulsion ; nanocomposite ; worm-like micelle ; viscoelastic surfactant ; fracturing fluid ; stability ; two-dimensional materials ; metal oxide ; nanoparticles ; composite materials ; gas sensors ; microstructure ; composites ; photoactivity ; pesticides ; wastewater ; photocatalysis ; metal oxides ; semiconductors ; BaZrO3 ; europium ; luminescence ; EXAFS ; defect ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 30
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    RAND Corporation
    Publication Date: 2023-10-05
    Description: Describes a case study of six enterprises that use Radio Frequency Identification (RFID) tags to control access in the workplace to understand their policies about personally identifiable records obtained by sensing RFID-based access cards. These policies have a number of common features, but the policies are neither documented nor shared with employees. While employees ought to be informed about uses of access control system records, implementing traditional fair information practices for such records would be impractical in some situations.
    Keywords: Technology ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 31
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint aims to collect state-of-the-art research contributions that address challenges in the emerging 5G networks design, dimensioning and optimization. Designing, dimensioning and optimization of communication networks resources and services have been an inseparable part of telecom network development. The latter must convey a large volume of traffic, providing service to traffic streams with highly differentiated requirements in terms of bit-rate and service time, required quality of service and quality of experience parameters. Such a communication infrastructure presents many important challenges, such as the study of necessary multi-layer cooperation, new protocols, performance evaluation of different network parts, low layer network design, network management and security issues, and new technologies in general, which will be discussed in this book.
    Keywords: bit error rate (BER) ; space-time coding (STC) ; Singular Value Decomposition (SVD) ; massive MIMO ; orthogonal transform division multiplexing (OTDM) ; Toeplitz matrix ; 5G networks ; BBU centralization ; cloud radio access networks ; eCPRI ; fronthaul ; filter bank multicarrier ; isotropic orthogonal transfer algorithm ; intrinsic interference ; Co-time Co-frequency Full Duplex (CCFD) ; self-interference (SI) signal cancellation ; RF domain ; optimize Least Mean Square (LMS) algorithm ; interference cancellation ratio (ICR) ; 5G core network slice ; network slicing ; resource attributes ; slice provisioning ; topology attributes ; beamforming ; interference management ; throughput ; fairness index, small cell networks ; OFDM ; congestion ; random ; quasi-random ; recursive ; restricted ; reservation ; complete sharing ; D2D communication ; 5G IoT network ; lightweight cryptography ; authentication ; midhaul ; radio-over-fiber ; optical gNB-DU ; RRH ; A-RoF ; D-RoF ; BBU ; all-optical network ; handover ; HetNets ; mobility management ; self-optimization ; spectrum handoff ; spectrum sensing ; cognitive radio networks ; cognitive radio user ; primary and secondary user ; 5G mobile communication network ; multi-access edge computing ; centralized cloud computing ; hybrid cloud computing ; Palm-Jacobaeus loss formula ; blocking probability ; multi-service traffic ; separated resources ; performance evaluation ; cellular systems ; channel emulator ; non-stationary MIMO channel ; discrete channel model ; field-programmable gate array (FPGA) platform ; Cloud Radio Access Network (C-RAN) ; Microwave Radio Transmission (MRT) ; Free Space Optics (FSO) ; Fiber Optics (FO) ; multi-agent systems ; laplacian eigenvalues ; augmented Lagrange based Alternating Direction Inexact Newton (ALADIN) method ; consensus algorithms ; Alternating Direction of Multipliers Method (ADMM) ; 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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  • 32
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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: 2023-03-07
    Description: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Keywords: speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 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: 2023-03-07
    Description: Processing and Conversion of Oil and Gas: Modeling, Control, Simulation, and Optimization describes the core of the activity of petrochemical engineers, process controller engineers, industrial engineers, energy engineers, and researchers in the oil and gas field. This reprint explores the modeling, control, simulation, and optimization of new and revamped petrochemical processes using proven software. Thus, it offers novel illustrative examples, prospective applications, and solutions to improve these processes. This reprint aims to combine theoretical principles with examples modeled by commonly used simulation software employing steady-state or dynamic process simulation. Furthermore, applying numerical methods and optimization at both the theoretical and practical levels is within the scope of this reprint.
    Keywords: jet stability ; swirl ; twist ; dominant mode ; Brassica Napus ; fatty acid methyl esters ; 2-Ethyl-2-hydroxymethyl-1,3-propanediol ; viscosity ; batch reactor ; kinetics ; self-excited oscillation pulse jet ; nozzle ; large eddy simulation ; peak velocity ; cavitation number ; coal tar ; wash oil ; nitrogen-containing compounds ; indole ; formamide equilibrium extraction ; price bubbles ; bubble length ; petroleum products ; GSADF ; Pakistan ; pipeline safety ; risk classification ; pipeline failure ; fuzzy analytic hierarchy process ; pipeline risk assessment ; shale gas pipelines ; pressure gradient ; gas–liquid two-phase flow ; flow patterns ; Generalized Additive Model ; dimensionless numbers ; discrete element method ; optimal design ; simulation analysis ; anti-corrosion pill particles ; butyl acetate ; acetic acid ; n-butanol ; esterification ; membrane reactor ; reactive distillation ; amberlyst-15 catalyst ; energy efficiency ; economic evaluation ; methyl isobutyl ketone (MIBK) ; acetone self-condensation ; selective hydrogenation ; process development ; heat integration ; economic analysis ; nano-Pd/nano-ZnCr2O4 catalyst ; dimethyl carbonate ; dimethyl oxalate ; oxidative carbonylation ; azeotropic distillation ; profitability analysis ; 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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    IntechOpen | IntechOpen
    Publication Date: 2024-04-01
    Description: This book discusses various topics in pharmacovigilance. The first section addresses such topics as approaches to minimize adverse drug reactions, different stakeholders and their importance in pharmaceutical policy development, changing needs for pharmacovigilance in the African region, machine learning applications in pharmacovigilance, and pharmacovigilance of biological drugs. The second section discusses signal detection, which is a promising approach that helps in the early identification of new, rare drug reactions (desired or undesired).
    Keywords: machine learning ; data mining ; elderly ; biosimilar ; supervised learning ; mental disorders ; thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: The reprint focused on innovative developments in the fields of advanced propulsion system and thermal management technology. Propulsion systems develop along the direction of wide speed range and long endurance both for civil aircrafts and military applications. The research works of propulsion systems mainly include overall design, combustion, aerodynamic, internal flows and heat transfer etc. High efficiency is pursed not only by optimized designs but also from development of materials as well as application of new fuel. Along with development of high efficiency propulsion system, thermal management technology is also developed to meet the demand of external aerodynamic heating and internal combustion heat at a high flight speed. Common thermal management technology includes blade cooling in gas turbines and regenerative cooling in rocket engines. Thermal protection of engines achieves high efficiency by heat transfer enhancement, such as use of superficial fluid, nanofluids and new designed roughened surfaces. Also, some heat transfer enhancement methods in heat exchangers, battery and fuel cells are also introduced into propulsion systems.
    Keywords: auto-ignition ; supersonic flow ; initial flame kernel ; oblique shock ; recirculating region ; improved body force model ; off-design ; Reynolds-averaged Navier–Stokes equations ; meridional entropy gradient ; rotor 37 ; rolling motion ; subcooled flow boiling ; transverse flow ; subchannel ; VOF ; printed circuit heat exchanger ; NACA airfoil fins ; micro gas turbine recuperator ; thermo-hydraulic ; parametric study ; ventilation ; solar greenhouse ; numerical simulation ; system design ; n/a ; thrust vector control ; supersonic jet ; nozzle ; flow entrainment ; Coanda effect ; schlieren method ; scramjet ; regenerative cooling ; coupled heat transfer ; pyrolysis ; 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: 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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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: The Internet of Things (IoT) has emerged as a popular area of research and has piqued the interest of academics and scholars worldwide. As such, many works have been done on IoT in a variety of application areas. Written by leading experts in the field, this book serves as a showcase of the breadth of IoT research conducted in recent years for people who, while not experts in the field, do have prior knowledge of the IoT. The book also serves curious, non-technical readers, enabling them to understand necessary concepts and terminologies associated with the IoT.
    Keywords: artificial intelligence ; iot ; machine learning ; healthcare ; ai ; ehealth ; thema EDItEUR::U Computing and Information Technology::UD Digital Lifestyle and online world: consumer and user guides::UDF Email: consumer / user guides
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Recently, the trends of a circular economy and sustainability have driven nanotechnology towards the development of novel and innovative applications in the food packaging sector, which is rather recent compared with their use in biomedical and pharmaceutical applications. Bioactive films and coatings based on natural biopolymers such as chitosan, sodium alginate and gelatin and containing antioxidant and antimicrobial agents such as micro- and nanoemulsions of phytochemicals and nanostructured materials such as quantum dots, ZnO nanoparticles, nanoclays, silicas, zeolites and activated carbons, are finding application in various sectors of the food industry, especially in the development of novel edible, active packaging films and coatings. These bioactive films and coating materials enhance solubility, improve bioavailability, facilitate controlled release, and protect bioactive components during manufacture and storage. This Issue intends to provide an overview of bioactive gel films and coatings applied in active food packaging.
    Keywords: bioactive packaging ; xanthan ; propolis ; physicochemical properties ; microbiological analyses ; sensory evaluation ; biopolymers ; antimicrobial ; environment ; film ; coating ; active packaging ; soft cheese preservation ; sodium alginate ; thyme oil ; natural zeolite ; shelf-life extension ; anthocyanin ; fruit decay ; postharvest shelf life ; Aloe vera ; antioxidant ; fig ; purple-flesh sweet-potato ; chitosan ; gel coating ; preservation ; citrus ; cinnamon ; clove ; eucalyptus ; mint ; ginger ; chamomile ; halloysite ; polyvinyl alcohol ; gel ; active coatings ; nanostructures ; kiwi fruits ; green pea pods ; corn oil ; films ; hydrogel polymer ; acacia gum ; cinnamon essential oil ; edible hydrogel-based films ; food packaging ; edible films ; composite material ; essential oil ; 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: 2023-09-11
    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: 2023-02-02
    Description: The need for electromechanical energy conversion that takes place in electric motors, generators, and actuators is an important aspect associated with current development. The efficiency and effectiveness of the conversion process depends on both the design of the devices and the materials used in those devices. In this context, this book addresses important aspects of electrical machines, namely their materials, design, and optimization. It is essential for the design process of electrical machines to be carried out through extensive numerical field computations. Thus, the reprint also focuses on the accuracy of these computations, as well as the quality of the material models that are adopted. Another aspect of interest is the modeling of properties such as hysteresis, alternating and rotating losses and demagnetization. In addition, the characterization of materials and their dependence on mechanical quantities such as stresses and temperature are also considered. The reprint also addresses another aspect that needs to be considered for the development of the optimal global system in some applications, which is the case of drives that are associated with electrical machines.
    Keywords: switched reluctance motor drive ; model predictive control ; continuous control set ; pulse-width modulation ; magnetization surface ; electrical drive ; magnetic permeability ; effective parameters ; induction motor ; finite element method ; linear electric actuators ; linear switched reluctance actuators ; permanent magnets ; linear hybrid reluctance actuators ; machine design ; finite element analysis ; detent force reduction ; flux switching ; performance comparison ; torque density ; permanent magnet (PM) ; eddy current loss ; heat generation ; magnetic circuit ; magnetic composite material ; spatial harmonics ; concentrated winding motor ; additive manufacturing ; convolution ; infinite impulse response (IIR) filters ; additive white noise ; DC drift ; magnetic flux density ; magnetic hysteresis ; kernel ; magnetic materials ; soft magnetic materials ; selective laser melting ; iron losses ; magnetic properties ; transformer ; induction motors ; surrogate optimization ; Box–Behnken design ; Latin-hypercube sampling ; clustering ; particle swarm optimization ; pattern search ; SRM ; PV panels ; water pumping system ; multilevel converter ; fault-tolerant ; 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: 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: 2023-02-02
    Description: This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports.
    Keywords: heterogeneous transformation ; SAR image ; optical image ; conditional generative adversarial nets (CGANs) ; self-supervised ; synthetic aperture radar (SAR) ; despeckling ; enhanced U-Net ; video synthetic aperture radar (Video-SAR) ; moving target tracking ; guided anchor Siamese network (GASN) ; interferometric synthetic aperture radar ; deep convolutional neural network ; phase unwrapping ; unsupervised change detection ; polarimetric synthetic aperture radar (PolSAR) ; UAVSAR ; multi-scale shallow block ; multi-scale residual block ; synthetic aperture radar ; image registration ; transformer ; deep learning ; SAR target detection ; multiscale learning ; ship detection ; SAR ship detection ; position-enhanced attention ; lightweight backbone ; image augmentation ; building extraction ; SAR ; semantic segmentation ; SAR dataset ; single-stage detector ; two-stage detector ; anchor free ; train from scratch ; oriented bounding box ; multi-scale detection ; computer vision ; low-grade road extraction ; remote sensing ; image segmentation ; optical images ; scene classification ; on-board ; lightweight self-supervised algorithm ; synthetic aperture radar (SAR) image ; arbitrary-oriented ship detection ; differentiable rotational IoU algorithm ; triangle distance IoU loss ; attention-weighted feature pyramid network ; multiple skip-scale connections ; attention-weighted feature fusion ; Rotated-SARShip dataset (RSSD) ; object classification ; radar image reconstruction ; convolutional neural networks ; ResNet18 ; GBSAR ; Omega-K algorithm ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    Publication Date: 2023-10-05
    Description: Updates the policy context of the Agency for Healthcare Research and Quality (AHRQ) patient safety initiative; documents the current priorities and activities undertaken; and assesses contributions of health information technology projects and dissemination actions to support adoption of evidence-based safe practices. Discusses implications for future AHRQ policy, programming, and research; suggests ways to strengthen AHRQ activities.
    Keywords: Health Sciences ; Management & Organizational Behavior ; Technology ; Political Science ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas::KJMV2 Personnel & human resources management ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBQ Medicolegal issues ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques::MBGR Medical research ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government::JPQB Central government policies ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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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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    Springer Nature | Palgrave Macmillan
    Publication Date: 2023-11-17
    Description: This open access book presents three future consumption trends—technology, sustainability, and wellbeing—and discusses what impact those trends will have on the ways we shop. What will be important to the consumers of the future? And how will their retail experiences look and feel? Will technology, sustainability, and wellbeing trends fundamentally change how we consume? And how should retail managers respond to these trends in order to provide the customer experiences of the future? Blending academic perspectives with reflections from innovative retailers, this book explores all these questions and more. Essential reading for retail managers who want to know how future consumption trends will affect the industry, this book also benefits students and researchers of retail and consumption who want to better understand how these interdependent fields are linked.
    Keywords: consumer behaviour ; Retail ; sustainability ; digital ; artificial intelligence ; machine learning ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJS Sales & marketing ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNP Distributive industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-08-08
    Description: This reprint focuses on recent advancements, technical challenges, and novel design methodologies for the energy manufacturing system, including energy management, green manufacturing, sustainable manufacturing, energy saving in manufacturing systems, the operation and maintenance of power generation, prognostics and health management of power systems, and so on. With the increasing attention paid to sustainable development around the world, improving energy efficiency and applying effective means of energy saving have gradually received worldwide attention. As the largest energy consumers, manufacturing industries also inevitably face pressures on energy optimization evolution from both governments and competitors. The rational optimization of energy consumption in industrial operation activities can significantly improve the sustainability level of an entire company.
    Keywords: multi-level structure ; non-production energy consumption (NPEC) ; sub-batch priority ; multi-objective gray wolf optimizer (MOGWO) ; high-order hidden semi-Markov model ; composite node ; model reduction ; state duration ; polynomial fitting ; residual life prognosis ; wind turbines ; opportunistic maintenance ; structural correlation ; random correlation ; carbon emissions ; fault diagnosis technology ; improved convolutional neural network ; ship electrical power system ; Simulink ; synchronous generator ; hidden Markov model (HMM) ; autocorrelation ; residual chart ; failure mode ; effects and criticality analysis ; Z-number ; rough number ; DEMATEL method ; VIKOR method ; energy–carbon emissions nexus ; causal model ; low-carbon product ; future transport-manufacturing industries ; RV reducer ; assembly quality ; dendrites ; neural network ; transmission accuracy ; sustainable ; energy optimization ; operation and maintenance ; manufacturing systems ; automated storage and retrieval system ; hybrid flowshop ; genetic algorithm ; migratory birds optimization algorithm ; GA-MBO ; urban rail transit ; operational efficiency ; energy efficiency ; carbon emission ; data envelopment analysis ; preventive maintenance ; quality cost ; multiobjective optimization ; manufacturing system ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The 10th International Conference on Modern Circuit and System Technologies on Electronics and Communications (MOCAST 2021) will take place in Thessaloniki, Greece, from July 5th to July 7th, 2021. The MOCAST technical program includes all aspects of circuit and system technologies, from modeling to design, verification, implementation, and application. This Special Issue presents extended versions of top-ranking papers in the conference. The topics of MOCAST include:Analog/RF and mixed signal circuits;Digital circuits and systems design;Nonlinear circuits and systems;Device and circuit modeling;High-performance embedded systems;Systems and applications;Sensors and systems;Machine learning and AI applications;Communication; Network systems;Power management;Imagers, MEMS, medical, and displays;Radiation front ends (nuclear and space application);Education in circuits, systems, and communications.
    Keywords: incremental power and timing optimization ; Lagrangian relaxation ; gate sizing ; multimode multicorner ; physical optimization ; two-qubit states ; quantum computers ; quantum gates ; Rabi oscillations ; single qubit quantum computer ; quantum operations simulation ; vision transformers ; computer vision ; deep learning ; artistic style recognition ; memristor model ; tantalum oxide ; memory crossbar ; nonlinear dopant drift ; window function ; LTSPICE library memristor model ; stochastic computing ; stochastic filtering ; stochastic FIR filter ; unconventional computing ; electrical masking ; interconnection delay ; Single Event Multiple Transients ; Soft Error Rate ; STA ; TCAD ; timing-masking ; transient faults ; IoT ; wireless sensor networks ; hydroponics ; smart agriculture ; Network-on-Chip ; bufferless routing ; 3D NoC ; Markov chains ; visible light communication (VLC) ; wireless communication ; analog front end (AFE) ; pre-amplification ; classification ; COVID-19 ; lightweight neural network ; medical imaging ; chest X-rays ; image sensors ; 3D pixels ; 3D sequential integration ; 3DSI ; monolithic 3D ; M3D ; coupling ; parasitic capacitances ; memristor ; emulator ; analog design ; switched capacitor ; mixed signal ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 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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    Springer Nature | Humana
    Publication Date: 2024-04-05
    Description: This Open Access volume provides readers with an up-to-date and comprehensive guide to both methodological and applicative aspects of machine learning (ML) for brain disorders. The chapters in this book are organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Comprehensive and cutting, Machine Learning for Brain Disorders is a valuable resource for researchers and graduate students who are new to this field, as well as experienced researchers who would like to further expand their knowledge in this area. This book will be useful to students and researchers from various backgrounds such as engineers, computer scientists, neurologists, psychiatrists, radiologists, and neuroscientists.
    Keywords: machine learning ; deep learning ; brain disorders ; neurology ; psychiatry ; data science ; neural networks ; statistical learning ; neuroimaging ; clinical data ; biomarkers ; omics ; electronic health records ; mobile devices ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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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 title of the current Special Issue, “Feature Papers in Materials Simulation and Design”, has identified the aims of this collection since its opening: the gathering of research works and comprehensive review papers that advance the understanding and prediction of material behavior at different scales, from atomistic to macroscopic, through innovative modeling and simulation.In this context, interdisciplinary researches that tackled challenging and complex material problems where the governing phenomena might span different scales of material behavior, with an emphasis on the development of quantitative approaches to explain and predict experimental observations, have been collected. Similarly, particular attention has been given to homogenization techniques for the evaluation of the mechanical properties of new materials and multi-phase composites. Innovative numerical approaches for the mechanical analysis, highlighting their accuracy, reliability, and stability features, have been also welcomed. Significant space has been also given to advanced and sustainable technologies. From the aforementioned topics, it is evident that this Special Issue represents the ideal forum for disseminating excellent research findings, as well as sharing innovative ideas in this significant field.Throughout the several months of activity, this Special Issue has been able to attract much interesting research. Its success is proven by the sixteen papers collected and published.
    Keywords: die height ; biomass compaction ; relaxation coefficient ; briquette density ; logging residues ; mechanical engineering ; scale opening mechanics ; seed extraction ; morphological structure ; numerical simulation ; computational fluid dynamics ; OpenFOAM ; cementitious materials ; Bingham rheology ; pumping ; reliability ; pentagon-based 2D material ; thermal conductivity ; thermoelectric properties ; anharmonicity ; additive manufacturing ; fused deposition modeling ; lattice structures ; TPU ; layering ; zirconia ceramics ; brittle medium ; porosity ; Kolsky method ; compressibility ; strength ; fracture ; stress growth rate ; light-harvesting ; water splitting ; photoferroics ; high-throughput screening ; Ruddlesden-Popper perovskites ; high-pressure water jet ; high-pressure water-ice jet ; paint coating ; geometric structure of the surface ; base ; surface efficiency of the process ; renovation ; acrylonitrile butadiene styrene ; artificial neural networks ; dynamic mechanical properties ; Particle Swarm Optimization ; green composite ; bumper beam ; numerical modeling ; energy absorption ; natural fibers ; axial vibration ; short-fiber-reinforced ; Fourier series ; nonlocal elasticity ; thin-walled ; FEM ; thermal buckling analysis ; tungsten trioxide ; graphene oxide ; photocatalysis ; nanocomposite ; composite laminate ; mode-II delamination ; R-curve ; temperature ; cohesive law ; nonlinear hyperelastic material ; viscoelasticity ; semi-analytical polynomial method ; large deformation ; finite element method ; numerical methods ; thin shells ; variable-stiffness structures ; 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: 2023-01-05
    Description: Lipid-based nanosystems, including solid lipid nanoparticles (SLNs) and nanostructured lipid carriers (NLCs), cationic lipid nanoparticles, nanoemulsions, and liposomes, have been extensively studied to improve drug delivery through different administration routes. The main advantages of these systems are their ability to protect, transport, and control the release of lipophilic and hydrophilic molecules (either small-molecular-weight molecules or macromolecules); the use of generally recognized as safe (GRAS) excipients that minimize the toxicity of the formulations; and the possibility to modulate pharmacokinetics and enable the site-specific delivery of encapsulated payloads. In addition, the versatility of lipid-based nanosystems has further been demonstrated for the delivery of vaccines, the protection of active cosmetic ingredients, and the improvement of moisturizing properties of cosmetic formulations.Lipid-based nanosystems are well established and there are already different commercially approved formulations for various human disorders. This success has paved the way for the diversification of the pipeline of development, to address unmet medical needs for several indications, such as cancer, neurological disorders, and autoimmune, genetic, and infectious diseases.This Special Issue aims to update readers on the latest research on lipid-based nanosystems, both at the preclinical and clinical levels. A series of 15 articles (six reviews and nine studies) is presented, with authors from 12 different countries, showing the globality of the investigations that are being carried out in this area.
    Keywords: Echinococcus granulosus ; scolicidal ; nanoliposome ; juglone ; apoptotic activity ; hydrogel ; SLNs ; nose-to-brain delivery ; mucoadhesion ; quality by design ; antioxidant activity ; nasal administration ; nanostructured lipid carriers ; solid lipid nanoparticles ; in vitro cell cultures ; 3D nasal casts ; lung cancer ; targeted drug delivery ; lipid-based nanocarriers ; pulmonary delivery ; dry powder inhalers ; aerosols ; liposomes ; nanoemulsions ; nanotechnology ; biologically active compounds ; dermal drug delivery ; polyphenols ; phytophenols ; skin permeation ; chemotherapy ; radiotherapy ; active targeting ; passive targeting ; tumor ; immunoconjugate ; traditional liposome ; stealth liposome ; triggered release ; limitations of liposomes ; drug transfer ; in vitro release ; colloidal drug carriers ; lipid nanoparticles ; hydrogel beads ; cholesteryl nonanoate ; bovine serum albumin ; skin diseases ; lipid-based nanosystems ; cream ; ointment ; gel ; pH-sensitive ; liposome ; imidazole ; anticancer ; drug delivery ; multicellular spheroids ; dapagliflozin ; Box–Behnken design ; FTIR ; DSC ; XRD ; SEM ; AFM ; in vitro Franz diffusion cells ; lipid-based nanoparticles ; nanocarrier ; surface charge ; delivery systems ; chronic treatment ; mice ; anti-oxidant activity ; hepatoprotective effect ; phospholipid ; phytosomes ; Silymarin ; Colorectal Cancer ; Niosomes ; Oxaliplatin ; Paclitaxel ; d-α-tocopheryl polyethylene glycol 1000 succinate (TPGS) ; therapeutic nucleic acids ; schizophrenia ; quetiapine fumarate ; glycerosomes ; central composite rotatable design ; bioavailability ; pharmacokinetic ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The states of bridge structures decline over time due to various degradation processes, such as creep, corrosion, and cyclic loading. During its life cycle, a bridge also faces the great threat of multiple hazards, such as winds, earthquakes, collisions, waves, landslides, and so on. Structural damages in an existing bridge affect operational and structural safety and weaken the sustainability of bridges. Therefore, advanced damage diagnosis techniques and safety assessment methods are strongly required to ensure structural safety and achieve infrastructure sustainability. This Special Issue aims to bring together recent scientific developments in probabilistic hazard analysis, structural exposure models, damage diagnosis methods, testing and measurement techniques, dynamic behavior and protection technology, damage mechanisms, risk assessment framework, and resilience-based approaches. Since we have past one year since this Special Issue opened, thirteen papers have been published, the majority of which focus on the structural safety assessment of bridges under wind, earthquake, collision, wave, etc. The Guest Editors believe that this reprint will provide important theoretical and technical support for bridge damage diagnosis and safety assessment and promote communication and cooperation between design, construction, research, teaching, and production.
    Keywords: self-consolidating concrete ; micro-steel fiber ; high admixture ; mechanical performance ; grid pile foundation ; ABAQUS ; load-bearing performance ; Monte Carlo method ; safety assessment ; sea-crossing bridges ; triangle elevation ; leveling method ; dynamic compensation ; total station ; harsh environment ; long distance ; sea-crossing elevation ; combined survey platform ; numerical simulation ; strong wave and deep-water conditions ; wave-current load ; working performance ; arch bridge ; ultimate span length ; theoretical analysis ; high-performance material ; strength ; stability ; bridge ; near-fault earthquake ; vertical separation ; eccentric impact ; failure mode ; pounding ; prefabricated frame bridge ; seismic behaviors ; small and medium bridge ; seismic responses ; stopper damage ; numerical method ; conformal mapping ; closed box girder ; sliding searching method ; flutter performance ; aerodynamic forces ; streamlined box girder ; coupled vibration ; potential flow ; second-order component ; bridge engineering ; temperature gradient ; parameter sensitivity ; steel slag ; concrete-filled double-skin steel tube (CFDST) ; T-joint ; seismic performance ; concrete-filled steel tubular (CFST) ; laced piers ; modeling method ; design optimization ; 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: 2023-02-02
    Description: Advanced sensing, fault diagnosis, and structural health management are important parts of the maintenance strategy of modern industries. With the advancement of science and technology, modern structural and mechanical systems are becoming more and more complex. Due to the continuous nature of operation and utilization, modern systems are heavily susceptible to faults. Hence, the operational reliability and safety of the systems can be greatly enhanced by using the multifaced strategy of designing novel sensing technologies and advanced intelligent algorithms and constructing modern data acquisition systems and structural health monitoring techniques. As a result, this research domain has been receiving a significant amount of attention from researchers in recent years. Furthermore, the research findings have been successfully applied in a wide range of fields such as aerospace, manufacturing, transportation and processes.
    Keywords: structural health monitoring ; wireless sensor network ; steel-framed construction ; corrosion ; pulsed eddy current ; tethered satellite formation ; dynamic behavior ; control ; stable deployment ; Floquet theory ; Francis turbine unit ; prognostic ; performance state evaluation ; degradation trend prediction ; DBSCAN ; Gaussian mixture model ; NSGA-II ; Gaussian process regression ; pipeline ; fatigue crack ; stress intensity factor ; finite element ; XGBoost ; bolt axial stress ; acoustoelastic effect ; scattering attenuation ; stress-dependent attenuation coefficient ; sensitive frequency band ; triaxial force transducer ; wide-range ; dynamic calibration ; Hopkinson bar ; sensitivity matrix ; status evaluation ; mining XLPE cables ; membership cloud ; D-S evidence theory ; PZT ; smart aggregate ; ECC beam ; damage monitoring ; aeromagnetic survey ; OBE interference compensation ; LSTM network ; rust detection ; transmission lines fitting ; object recognition ; faster R-CNN ; transmission safety ; 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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    IntechOpen | IntechOpen
    Publication Date: 2024-03-07
    Description: Access to health care is the ability to receive health services for the prevention, detection, and treatment of disorders that affect health. For health care to be accessible, it must be affordable and able to protect and improve health. There are myriad reasons that may make access to health services difficult or even impossible. These include economic problems, conflicts, climate change, internal and external migrations, beliefs, and so on. This book examines many of these barriers to health care and proposes solutions for overcoming them.
    Keywords: climate change ; public health ; primary health care ; machine learning ; breast cancer ; pandemic ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine::MBNH Personal & public health::MBNH9 Health psychology
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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: 2024-01-08
    Description: With the continuous improvement of artificial intelligence and sensing technologies, the marine field is ushering in unprecedented change. In this wave of change, the design and application of marine transportation have become significant tools for promoting the marine economy and environmental protection. Motion control and path planning have become key technologies to ensure that marine transportation vehicles operate efficiently and intelligently in complex marine environments. Therefore, this Special Issue focuses on motion control and path planning for marine vehicles and explores how autonomous underwater vehicles (AUVs), surface unmanned vehicles (USVs), and deep-sea landers (DSLVs) can play a key role in the oceans through optimization strategies and new approaches. We will delve into the application of intelligent and autonomous motion control systems on marine vehicles, and the innovation and optimization of path-planning techniques. In this Special Issue, we brought together the latest results from experts and researchers, aiming to share their cutting-edge research in motion control and path planning for marine vehicles. We expect that the presentation of these papers will provide new ideas and solutions to promote marine science and technology development and application. Finally, we would like to convey our most profound gratitude to the staff of MDPI Books and the editorial team of Marine Science and Engineering, in particular the assistant editors, talented authors, and diligent reviewers.
    Keywords: motion control ; path planning ; ship motion ; marine vehicle ; unmanned ocean vehicles ; autonomouslearning and AI ; cooperation and coordination ; unmanned marine vehicle swarm ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: This reprint focuses on the research of textile materials for conventional and protective clothing. More than ever, multidisciplinary research applied to the field of new textile materials and new techniques of processing and joining materials is needed. The main research topics of this Special Issue include research and development of new materials and the improvement of their properties, and the mechanical and thermal properties of yarns, materials and clothing. Simulations based on the physical and mechanical properties of fabrics for the purpose of prediction assessment of the appearance and behavior of clothing, as well as 3D virtual garment prototypes using 3D body models and involving 3D human-body scanning, are interesting and significant topics in the field of clothing engineering. The problem of microplastics that are produced during the manufacture or cleaning of synthetic textiles has also been investigated in this Special Issue.
    Keywords: electroconductive material ; polyamide ; silver ; shielding effectiveness ; wet cleaning ; dry cleaning ; polyurethane ; material ; clothing ; mechanical properties ; heat resistance ; woven fabric ; plain weave ; electrically conductive yarn ; resistance ; tensile force ; elongation ; knit ; plain stitch ; multi-filament yarn ; 3D model ; stretching ; air permeability ; fashion design ; textile material ; textile pattern ; thermal camouflage ; biomimetic ; leather ; drape coefficient ; leather rigidity ; drapability ; leather thickness ; kinematic 3D human-body model ; sitting posture ; Blender software ; virtual prototyping ; personalized clothing ; linen fabric ; warp crimp ; calculated crimp ; experimental crimp ; moisture vapor permeability ; ecofriendly fiber ; Tencel ; bamboo ; KES-F7 ; pore diameter ; fabric ; drape ; physical and mechanical properties ; polygonal model ; 3D simulation ; linen/silk fabric ; pilling resistance ; singeing ; pigment and reactive printing ; electrospinning ; nanofibres ; filtration ; particles retention ; multilayer systems ; clothing physiology ; tight-fitting sportswear ; running test on a treadmill ; thermal comfort ; skin temperature ; perspiration ; protective clothing for firefighters ; flame manikin ; fire resistant materials ; flammability of materials ; thermal decomposition ; microplastics ; wastewater ; textiles ; polyester ; polyester ageing ; bibliometric analysis ; research trend ; artificial intelligence ; Web of Science ; 3D printing ; textile applications ; polylactic acid (PLA) ; breaking force ; knee protector ; FR fabric ; printing ; wash fastness ; spectrophotometry ; cotton fabric ; Proban® ; environmentally friendly washing procedure ; flame retardant durability ; MCC ; appearance ; knitted fabric ; cycle load ; elastic limit ; elastane ; hysteresis curve ; socks ; modal ; micro modal ; yarn type ; durability ; comfort ; textile testing ; 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: This reprint covers topics on geographical scale of glacier and lake ice variations, as well as the engineering scale of ice properties and their practical applications via laboratory tests and numerical modeling.
    Keywords: level ice ; ice resistance ; probability distribution ; polar ship ; circumferential crack method ; ice phenology ; Eurasia ; analytical model ; climate ; altitude ; spatial statistics ; glacier resources ; glacier inventory ; climate change ; topography ; Xinjiang ; polar ships ; propeller ; ice blockage ; cavitation effect ; EFD-CFD ; Manas river basin ; Kaidu river basin ; glacier mass balance ; Geographical detector ; attribution analysis ; arctic oil and gas resources ; Kulluk platform ; mooring system ; ice load ; ice-structure interaction ; sea ice ; fresh-water ice ; parametrization scheme ; melting rate ; laboratory study ; unmanned aerial vehicles ; SIFT algorithm ; brutal force matching ; RANSAC algorithm ; ice velocity ; blasting under ice ; dynamic simulation ; blasting volume ; parameter analysis ; collaborative bearing capacity ; analytic hierarchy process ; SD model ; simulation prediction ; Ulan Suhai Lake ; lake ; wetlands ; optical satellite data ; cloud ; Wuliangsu Lake ; ship ice accumulation ; sea spray ; marine structures ; SPH-FEM coupling method ; distilled water ice ; uniaxial compressive strength ; growth temperature of ice ; strain rate ; grain size ; ice core ; fabric ; microstructure ; glacial shear margin ; Dalk Glacier ; river ice ; thickness ; GPR ; temperature ; Yellow River ; water resources from melted glaciers ; lake ice phenology ; ice properties ; ice engineering ; ecosystem under lake ice ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    Publication Date: 2023-10-05
    Description: Sino-Singapore Guangzhou Knowledge City is a planned environmentally and technologically advanced city in China’s Guangzhou Development District that will host innovative industries and their workers. This report serves as an outline for a set of strategies for Knowledge City and is intended to help the developers create conditions that are conducive to innovation and the commercialization of new technologies.
    Keywords: Business ; Technology ; History ; Economics ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics ; bic Book Industry Communication::H Humanities::HB History::HBJ Regional & national history::HBJF Asian history ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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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: This reprint showcases a selection of bleeding-edge articles about medical image processing and segmentation workflows based on artificial intelligence algorithms. The proposed papers are applied to multiple and different anatomical districts and clinical scenarios.
    Keywords: fundus image ; image registration ; deep learning ; computer vision applications ; nuclei segmentation ; histopathology ; Grad-CAM ; semantic segmentation ; instance segmentation ; nuclei detection ; pap smear ; cervical net ; shuffle net ; canonical correlation analysis (CCA) ; support vector machine (SVM) ; random forest (RF) ; k-nearest neighbour (KNN) ; artificial neural network (ANN) ; dual-energy CT ; two-step method ; limited-angular range ; directional total variation ; PA ; CNN ; tooth disease recognition ; image segmentation ; image preprocessing ; breast cancer ; mitotic nuclei classification ; histopathology images ; artificial hummingbird algorithm ; medical imaging ; cervical cancer ; feature fusion ; feature selection ; deep learning structures ; support vector machine ; disease discrimination accuracy ; performance comparisons ; 2D/3D registration ; orthogonal X-ray ; breast density ; CAD ; image enhancement ; textural ; auto-segmentation ; neuroimaging ; magnetic resonance imaging ; ovarian tumor ; 2D ultrasound image ; image inpainting ; lesion segmentation ; attention mechanism ; GAN ; medical image analysis ; synthetic CT ; MRI guidance ; MRI-only ; image-guided radiotherapy ; carbon ion radiotherapy ; particle therapy ; rare tumor ; PCNSL ; radiomics ; image normalization ; MRI ; prostate cancer ; prostate segmentation ; U-Net ; mp-MRI ; loss function ; automatic volume measurement ; ultrasound bladder scanner ; edge computing ; urinary disease ; artificial intelligence ; mandible ; segmentation ; 3D virtual reconstruction ; CBCT ; CT ; Convolutional Neural Networks ; comparison ; in-house ; software ; patch size ; Cranio-Maxillofacial surgery ; DICOM ; osteoarthritis ; histopathological ; hematoxylin eosin ; safranin O fast green ; DarkNet-19 ; MobileNet ; NasNet ; ResNet-101 ; ShuffleNet ; PCA ; ALO ; ensemble learning ; OCT ; pyramidal network ; scale-adaptive ; teeth segmentation ; panoramic radiographs ; mask-transformer-based networks ; panoptic segmentation ; tuberous sclerosis complex ; children ; convolutional neural network ; multi-contrast MRI ; rare neurodevelopmental disorder ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: In human social development, the consumption of fossil energy, especially coal, has promoted economic prosperity, cultural exchanges, and social progress. With shallow coal resources exhausted, coal mining engineering has entered deep areas. The coal geology environment of the deep area differs from that of the shallow. With mining depth increasing, all the stress of buried rock stratum and surrounding rock and gas pressure of coal seam increase gradually. In addition, geological structures, such as complex faults, big folds, and thick-hard roofs, will increase the risk of coal mining. Once the dynamic disaster occurs, it will induce miner casualties and property losses. So, it is urgent to identify mine hazards, such as coal and gas outbursts, rock bursts, gas explosions, and coal fires, and research their formation mechanism, occurrence, and development process. Furthermore, prevention and control methods should be proposed to reduce mine disasters. Only in this way can we promote the safe, green, and efficient development of coal mining. This Topical Collection, titled “Mine Hazards Identification, Prevention, and Control,” aims to allow global researchers to conduct a broader scientific and technological discussion on such advances to improve the prevention and control level of disasters encountered during underground coal mining. The discussion topics include, but are not limited to, the basic experiments, modeling, numerical simulation, and field tests of aforementioned disasters.
    Keywords: mine hazards ; coal/rock disasters ; coal and gas outburst ; monitoring and early warning ; prevention and control ; identification method ; gas explosions ; coal fires ; composite dynamic disasters ; 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: 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: 2023-04-05
    Description: This Special Issue reprint, “Advanced Polymer Nanocomposites II”, addresses high-quality original and review papers, focused on the scientific discussion and practical application in the field of functional polymer nanocomposites, including: (a) optoelectronic materials (papers 1-9); (b) biomedical materials (papers 10-14); and (c) other functional polymer nanocomposites (papers 15-23). We hope that this Special Issue reprint can promote academic research exchanges and identify and respond to tremendous challenges of research in this burgeoning field.
    Keywords: hexagonal boron nitride ; jet cavitation ; silicone ; thermal conductivity ; silica sol ; soft contact lens ; poly(HEMA-co-NVP) ; oxygen permeability ; hydrophilicity ; POSS ; phenolic resin ; hydrogen bonding ; supercapacitors ; parylene ; CVD ; bioremediation ; polymer ; cellulase ; Bacillus ; Li4Ti5O12 ; polyimide ; carbon coating ; lithium ion battery ; rate performance ; polyaniline ; ferrite ; α″-Fe16N2 ; superparamagnetic ; inverse suspension polymerization ; β-tricalcium phosphate ; biocomposites ; osteoconduction ; polycaprolactone ; epoxy resin ; nanocomposites ; silica nanoparticles ; mechanical behavior ; high strain rate ; split Hopkinson bar ; FeNC catalyst ; polyimine ; two-stage calcination ; oxygen reduction reaction ; bone tissue regeneration ; chitosan nanocomposites ; critical size defect ; graphene oxide ; titanium dioxide nanoparticles ; polymer electrolytes ; composites ; biopolymers ; zinc batteries ; magnesium batteries ; properties ; graphene ; carbon nanotubes ; electromagnetic interference shielding ; Nepenthes structure ; bionic replica ; zwitterion polymers ; self-driving water ; unidirectional water delivery ; surface-enhanced Raman scattering (SERS) detection ; cable joint ; liquid silicone rubber ; nonlinear conductivity ; space charge ; magnetic nanomaterials ; conjugated polymers ; poly-N-phenylanthranilic acid ; one-step synthesis ; IR heating ; natural rubber latex ; Bi2O3 ; BaSO4 ; X-ray shielding ; gloves ; mechanical properties ; poly ionic liquids ; nanofibers ; electrospinning ; gold nanoparticles ; hybrid nanocomposites ; polyurethanes ; solution blow spinning ; dielectrics ; superparamagnetic iron oxide nanoparticles (SPION) ; dry coating ; solvent-free process ; discrete core-shell coating ; propargyl methacrylate (PMA) ; mesoporous carbon microbeads (MCMB) ; solid electrolyte interface (SEI) ; reinforcement ; nanocomposite ; application ; supramolecular micelle ; C60 ; hydroxyl radical scavenger ; surface-enhanced Raman scattering detection ; water pollutants ; bionic nanostructure ; silver nanoislands ; thermal evaporation ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    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: 2024-01-08
    Description: This topic reprint "Application of Innovative Power Electronic Technologies" encompasses a diverse range of topics and discoveries that addresses the increasing global demand for energy conversion in the context of sustainable energy, electric vehicles, industrial automation, and smart grids. This reprint brought together a selection of papers that delve into new technologies and practical applications of power electronics, offering insights into the challenges and solutions faced in the design and implementation of advanced energy conversion techniques.
    Keywords: power electronics ; energy conversion ; innovative technologies ; smart grid applications ; electric vehicle integration ; 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: 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: 2023-02-02
    Description: With increasing requirements for energy, resources and space, rock engineering projects are being constructed more often and are operated in large-scale environments with complex geology. Meanwhile, rock failures and rock instabilities occur more frequently, and severely threaten the safety and stability of rock engineering projects. It is well-recognized that rock has multi-scale structures and involves multi-scale fracture processes. Meanwhile, rocks are commonly subjected simultaneously to complex static stress and strong dynamic disturbance, providing a hotbed for the occurrence of rock failures. In addition, there are many multi-physics coupling processes in a rock mass. It is still difficult to understand these rock mechanics and characterize rock behavior during complex stress conditions, multi-physics processes, and multi-scale changes. Therefore, our understanding of rock mechanics and the prevention and control of failure and instability in rock engineering needs to be furthered. The primary aim of this Special Issue “Mathematical Problems in Rock Mechanics and Rock Engineering” is to bring together original research discussing innovative efforts regarding in situ observations, laboratory experiments and theoretical, numerical, and big-data-based methods to overcome the mathematical problems related to rock mechanics and rock engineering. It includes 12 manuscripts that illustrate the valuable efforts for addressing mathematical problems in rock mechanics and rock engineering.
    Keywords: rock mechanics ; rock engineering ; mathematical problem ; dynamic mechanics ; rock classification ; macroscopic deformation ; thermal treatment ; cooling condition ; acoustic emission ; pollution evaluation ; open-pit rock blasting ; extreme learning machine ; dynamic response ; freeze-and-thaw damage ; intelligent prediction ; 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: 2023-07-14
    Description: This is a reprint of the Special Issue entitled “Wood-Based Materials in Building” and deals with the latest developments in reinforcing construction materials, their joining, glulam–concrete composite beams, the effect of fire-retarding wood on its strength, and the applicability of newly developed wood-based boards and composite insulation materials produced with the use of wood by-products.
    Keywords: timber–timber joints ; single-step joint ; double-step joint ; resource efficient construction ; digital image correlation ; finite element analysis ; wood ; fire retardants ; artificial ageing ; compression strength ; polyurethane foam ; wood by-products ; filler ; cellular structure ; performance properties ; bolts ; dowels ; dowel-type fasteners ; FEM ; frame connection ; fully threaded screws ; glued laminated timber ; numerical model ; rotational stiffness ; bark ; chipboard ; sawdust ; wood-based material ; wood chips ; formaldehyde emission ; mechanical properties ; UF resin ; plywood ; wood-base materials ; bolts and dowels ; apex connection ; folding mechanism ; FEA ; panelized light frame roof ; glulam-concrete composite beam ; timber board interlayer ; bending performance ; finite element model ; parametric study ; glued laminated beams ; fibre-reinforced timber ; load-bearing capacity ; stiffness ; ductility ; modulus of elasticity ; bending test ; carbon cords ; carbon laminates ; knots ; 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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    RAND Corporation
    Publication Date: 2023-10-05
    Description: Is the United States in danger of losing its competitive edge in science and technology? This volume reviews the arguments surrounding this issue and contrasts them with relevant data, including trends in research and development investment; information on the size, composition, and pay of the U.S. science and engineering workforce; and domestic and international education statistics. The authors conclude with recommendations for policymakers.
    Keywords: Technology ; Management & Organizational Behavior ; Education ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJW Office & workplace::KJWX Working patterns & practices ; bic Book Industry Communication::J Society & social sciences::JN Education::JNF Educational strategies & policy ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Non-metallic inclusions have a great influence on the cleanliness and mechanical properties of steel. Controlling the size and composition of inclusions contributes to the excellent properties of “clean steel”. At the same time, in terms of our understanding of inclusions’ behavior using thermodynamics principles, the design and control of the composition, shape, size, and distribution of non-metallic inclusions in different steels can significantly enhance steel properties. This reprint introduces the latest developments in inclusion engineering, aiming to control the cleanliness and microstructure of steel through thermodynamic calculations and experimental work. Special attention is paid to the formation mechanism and evolution of inclusions during refining and solidification in real steel plants, the aggregation and floating of inclusions, and the kinetics of inclusion adsorption by refining slag.
    Keywords: MnS ; inclusion ; cerium ; sulfur ; fracture ; Cr5 ; back-up roller ; forged ingot ; large-size inclusions ; SiO2-MnO-Al2O3 ; contact angle ; aluminum deoxidation ; magnetic particle inspection ; defects ; nonmetallic inclusion ; cleanliness ; Ti-bearing IF steel ; reoxidation ; long producing process ; U75V heavy rail steel ; Cerium treatment ; gleeble ; MgO saturation ; industrial trial ; non-metallic inclusions ; thermodynamic calculation ; nonmetallic inclusions ; MgO-Al2O3 ; CaO-MgO-Al2O3 ; thermodynamic ; kinetic ; electroslag remelting ; evolution ; CAFE ; equiaxed crystal ratio ; macrosegregation ; numerical simulation ; continuous casting ; process optimization ; rare earth Ce ; inclusions ; modification ; non-oriented silicon steel ; rare earth oxysulfides ; rare earth La–Ce ; magnetic property ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: 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: 2023-04-05
    Description: International experts contribute to Fractional- and Integer-Order System: Control Theory and Applications, providing an authoritative overview of the most recent developments in control theory as well as practical examples of fractional- and integer-order systems. Generously referenced and illustrated, the reprint highlights the growing interest in control science and is an invaluable resource for applied and industrial mathematicians, biological, control, electrical and electronics engineers and scientists.
    Keywords: fractional fourier transform ; weighted-type fractional fourier transform ; multiweighted-type fractional Fourier transform ; unitarity ; direct autotuning methods ; indirect autotuning methods ; fractional-order controllers ; simulation results ; interval analysis ; interval estimator ; finite-time convergence ; bounded uncertainties ; infectious diseases ; SEIR epidemic model ; fractional calculus ; neutral systems ; fixed-point theory ; distributed interval observer ; fractional-order multiagent systems ; monotone system theory ; generalized Caputo derivate ; fractional diffusion equation ; finite difference method ; collocation method ; error ; stability and convergence analysis ; autonomous underwater vehicle ; fuzzy logic control ; particle swarm optimization algorithm ; initial value problem ; fractional differential systems ; fractional integral equation ; infinite-state approach ; Riemann–Liouville integral ; frequency distributed exponential function ; fractional-order differential equations ; verification of pseudo-state enclosures ; Mittag-Leffler-type enclosures ; exponential enclosures ; fractional order ; synchronization ; event triggered ; uncertain ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science ; 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: Fresh fruit and vegetables are considered as essential components of a healthy human diet, due to their pleasant taste and rich nutrients. However, fruits and vegetables are characterized by production seasonality, regionality, and perishability, which greatly affect the acceptance of consumers and increase the challenges of their post-harvest storage and preservation. A plurality of preservation technologies, including chemical treatment (calcium chloride, 1-methylcyclopropene, salicylic acid, etc.), physical methods (low-temperature conditioning, controlled atmosphere storage, ultraviolet-C irradiation, etc.), and biotechnology (such as genetic engineering technology) have been applied to maintain storage quality and to extend the storage life of fresh fruit and vegetables in recent years. Developing advanced preservation techniques to prolong the storage life of fruit and vegetables is of importance for improving social and economic benefits. Therefore, we invited authors to contribute original research articles and review articles focused on the innovative preservation technology of fresh produce, addressing storage problems, such as post-harvest quality deterioration caused by senescence, physiological disorders, and disease, to extend the shelf-life of fresh produce and reduce post-harvest loss.
    Keywords: tomato ; bacteriocin ; soft rot ; biocontrol ; vegetable preservation ; loquat fruit ; calcium chloride ; chilling injury ; reactive oxygen species ; ascorbate–glutathione cycle ; chive ; senescence ; quality ; antioxidant capacity ; amino acids ; organosulfur compounds ; peptide PAF56 ; citrus fruit ; changes cell structure ; spores ; membrane permeability ; acetic acid ; decontamination ; lactic acid ; pitaya fruit ; p-Anisaldehyde ; reactive oxygen species (ROS) ; AsA-GSH cycle ; antioxidant activity ; ripening ; enzymatic activities ; anthracnose ; shelf-life ; cold shock ; MAP ; cucumber ; storage ; VOCs ; photodynamic inactivation (PDI) ; antimicrobial ; biofilm ; fresh-cut pakchoi ; preservation ; hydrogen sulfide ; antioxidant enzyme ; energy ; proline ; 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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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: This book provides an overview of Data and Decision Sciences (DDS) and recent advances and applications in space-based systems and business, medical, and agriculture processes, decision optimization modeling, and cognitive decision-making. Written by experts, this volume is organized into four sections and seven chapters. It is a valuable resource for educators, engineers, scientists, and researchers in the field of DDS.
    Keywords: machine learning ; simulation ; sustainable agriculture ; regression ; decision support system ; data analytics ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
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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
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Blockchain applications in different industries are booming, yet there are many unresolved challenges with the mass adoption of the technology. This reprint is an attempt to review some of the applications in different industries and propose solutions to some of the critical challenges in technology adoption.
    Keywords: distributed ledger technology ; blockchain ; decentralized applications ; technology review ; development guidelines ; architecture ; anti-counterfeiting ; decentralization ; product authenticity ; end-to-end traceability ; supply chain integrity ; supply chain provenance ; NFC-Enabled Anti-Counterfeiting System ; Near-Field communication ; Internet-of-Things ; Internet of Things ; information technology ; innovation ; supply chains ; transparency ; traceability ; safety ; food systems ; transactions ; smart contracts ; electrical network frequency (ENF) ; Proof-of-ENF (PoENF) ; consensus ; security ; Internet of Video Things (IoVT) ; proof of work ; proof of stake ; consensus mechanism ; 51% attack ; double-mining attack ; technological development ; scalability ; storage ; data integrity ; performance ; smart contract ; M2X ; smart autonomous devices ; e-governance ; lifecycle management ; smart grid ; internet of vehicles ; demand response ; systematic literature review ; 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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    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
    Language: English
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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
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-11-30
    Description: The 5th conference on sustainability in civil engineering was held online on August 03, 2023, by the Department of Civil Engineering of Capital University of Science and Technology, Islamabad, Pakistan. The major topics included green construction materials and structures, construction management, and resilient infrastructure and environment. A total of 133 submissions from the UK, Ireland, Canada, Australia, Italy, Cyprus, China, Kazakhstan, Nigeria, Malaysia, KSA, and Pakistan were received. All papers had undergone a comprehensive and critical double-blind review process. In total, 57 reviewers from 16 different countries reviewed papers. In the conference, nine9 speakers delivered keynote lectures, and 56 accepted papers were presented. Civil engineers from academia and industry shared their practical experiences and different research findings.
    Keywords: Civil Engineering ; Sustainability ; Construction Materials ; Composite Materials ; Modern Materials ; Structural Material Behavior ; Structural Analysis ; Structural Design ; Earthquake Engineering ; Engineering Dynamics ; Building Information Modelling (BIM) ; Project Management for Sustainable Development ; Sustainability in Construction Projects ; Construction Safety ; Construction Contracts ; Smart and Sustainable Construction ; Construction Waste Management ; IT applications in Construction ; Environmental Engineering ; Environmental Sciences ; Irrigation Engineering ; Water Resource Engineering &amp ; Management ; Highway &amp ; Traffic Engineering ; Urban &amp ; Transportation Planning ; Geotechnical Engineering ; Geological Engineering&nbsp ; 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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint is of interest regarding contaminated sites remediation, which integrates the research results within 20 publications covering contaminated sites remediation's full life cycle. They include pollution investigation, environmental fate, pollution control, and review. In addition, the reprint addresses all aspects of contaminated site remediation, including heavy metal pollution, organic pollution, and combined pollution. These results can help to understand the remediation of the contaminated sites in depth throughout the life cycle and help break through the bottleneck of contaminated sites remediation and provide new ideas and methods for the development of contaminated sites remediation.
    Keywords: magnetic composites ; tetracycline ; adsorption ; advanced oxidation processes ; solid waste ; soil contamination ; biochar ; Brassica campestris L. ; Cd ; Pb ; hexavalent chromium ; chrome plating site ; pollution distribution ; leachability ; speciation ; site investigation ; in situ pXRF ; multivariate adaptive regression splines (MARS) ; heavy metals ; rapid field screening ; bone char ; hydrogen peroxide treatment ; cadmium ; adsorption mechanism ; ion interchange ; BDE-209 ; soil suspension ; photodegradation ; products ; mechanism ; surface sediment ; ecological risk assessment ; Pearl Bay ; heavy metal ; sediment ; ecological risk ; Shantou Bay ; copper ; water spinach ; antioxidant enzymes ; microbial community ; tailings pond ; form ; rhizosphere ; miscanthus floridulus ; electroplating factory ; groundwater ; soil ; multivariable analysis ; environmental evaluation ; penetration curve ; petroleum pollution ; PHE ; soil column ; typical oilfields ; vertical migration ; soil remediation ; cadmium contamination ; recent advances ; challenges and prospects ; winter jujube ; Yellow River Delta ; granular-activated carbon ; polybrominated diphenyl ethers ; Triton X-100 ; soil-washing effluent ; density functional theory calculation ; human-health risk ; numerical simulation ; polyethylene ; phenanthrene ; soil properties ; soil enzyme ; pyrite ; AMD ; surface passivation ; band bending ; lead ; ecotype ; accumulation and translocation ; Cr(VI) ; migration ; model ; slag ; 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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