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  • bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences  (260)
  • machine learning  (232)
  • MDPI - Multidisciplinary Digital Publishing Institute  (480)
  • 2020-2024  (480)
  • 2020-2023
  • 2022  (480)
  • 2022  (480)
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  • 2020-2024  (480)
  • 2020-2023
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  • 1
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    Wildfire Hazard and Risk Assessment (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: Wildfire risk can be perceived as the combination of wildfire hazards (often described by likelihood and intensity) with the susceptibility of people, property, or other valued resources to that hazard. Reflecting the seriousness of wildfire risk to communities around the world, substantial resources are devoted to assessing wildfire hazards and risks. Wildfire hazard and risk assessments are conducted at a wide range of scales, from localized to nationwide, and are often intended to communicate and support decision making about risks, including the prioritization of scarce resources. Improvements in the underlying science of wildfire hazard and risk assessment and in the development, communication, and application of these assessments support effective decisions made on all aspects of societal adaptations to wildfire, including decisions about the prevention, mitigation, and suppression of wildfire risks. To support such efforts, this Special Issue of the journal Fire compiles articles on the understanding, modeling, and addressing of wildfire risks to homes, water resources, firefighters, and landscapes.
    Keywords: wildfire risk ; object-oriented image analysis ; Sentinel-2 ; fire behavior ; flammap ; wildfire management ; water supply ; erosion ; wildfire containment ; Potential fire Operational Delineations ; Monte Carlo simulation ; transmission risk ; WUI ; fire ; defensible space ; prescribed fire ; community vulnerability ; fire suppression costs ; Zillow ; wildfire ; predictive modeling ; fire spread model ; Monte Carlo ; spatial modeling ; area difference index ; statistics ; precision ; recall ; principal components analysis ; risk assessment ; structure loss ; wildland–urban interface ; mitigation ; mapping ; land use ; disaster ; fire spread models ; surrogate modeling ; sensitivity analysis ; global sensitivity analysis ; colour coding ; communication ; forest fire ; ordinal categorization ; palette ; risk ; firefighter safety ; safe separation distance ; safety zones ; LCES ; Google Earth Engine ; lidar ; LANDFIRE ; Landsat ; GEDI ; parcel-level risk ; post-fire analysis ; risk mitigation ; rapid assessment ; natural hazards ; fuels ; fire hazard ; remote sensing ; LiDAR ; Sentinel ; modeling ; simulation ; 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::K Economics, finance, business & management::KN Industry & industrial studies::KNA Primary industries::KNAL Forestry & related industries
    Language: English
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  • 2
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    MEMS Packaging Technologies and 3D Integration (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-06-21
    Description: This Special Issue introduces recent research results on MEMS packaging and 3D integration whose subjects can be divided as follow; three papers on biocompatible implantable packaging, three papers on interconnect, three papers on bonding technologies, one paper on vacuum packaging, and three papers on modeling and simulation.
    Keywords: heterogeneous integration ; wafer bonding ; wafer sealing ; room-temperature bonding ; Au-Au bonding ; surface activated bonding ; Au film thickness ; surface roughness ; microelectromechanical systems (MEMS) packaging ; inkjet printing ; redistribution layers ; capacitive micromachined ultrasound transducers (CMUT) ; fan-out wafer-level packaging (FOWLP) ; adhesion ; thin film metal ; parylene ; neural probe ; scotch tape test ; FEM ; MEMS resonator ; temperature coefficient ; thermal stress ; millimeter-wave ; redundant TSV ; equivalent circuit model ; S-parameters extraction ; technology evaluation ; MEMS and IC integration ; MCDM ; fuzzy AHP ; fuzzy VIKOR ; fan-out wafer-level package ; finite element ; glass substrate ; reliability life ; packaging-on-packaging ; thermal sensors ; TMOS sensor ; finite difference time domain ; optical and electromagnetics simulations ; finite element analysis ; ultrasonic bonding ; metal direct bonding ; microsystem integration ; biocompatible packaging ; implantable ; reliability ; Finite element method (FEM) ; simulation ; multilayer reactive bonding ; integrated nanostructure-multilayer reactive system ; spontaneous self-ignition ; self-propagating exothermic reaction ; Pd/Al reactive multilayer system ; Ni/Al reactive multilayer system ; low-temperature MEMS packaging ; crack propagation ; microbump ; deflection angle ; stress intensity factor (SIF) ; polymer packaging ; neural interface ; chronic implantation ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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  • 3
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    Machine Learning and Data Mining Applications in Power Systems (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries.
    Keywords: virtual power plant (VPP) ; power quality (PQ) ; global index ; distributed energy resources (DER) ; energy storage systems (ESS) ; power systems ; long-term assessment ; battery energy storage systems (BESS) ; smart grids ; conducted disturbances ; power quality ; supraharmonics ; 2–150 kHz ; Power Line Communications (PLC) ; intentional emission ; non-intentional emission ; mains signalling ; virtual power plant ; data mining ; clustering ; distributed energy resources ; energy storage systems ; short term conditions ; cluster analysis (CA) ; nonlinear loads ; harmonics, cancellation, and attenuation of harmonics ; waveform distortion ; THDi ; low-voltage networks ; optimization techniques ; different batteries ; off-grid microgrid ; integrated renewable energy system ; cluster analysis ; K-means ; agglomerative ; ANFIS ; fuzzy logic ; induction generator ; MPPT ; neural network ; renewable energy ; variable speed WECS ; wind energy conversion system ; wind energy ; frequency estimation ; spectrum interpolation ; power network disturbances ; COVID-19 ; time-varying reproduction number ; social distancing ; load profile ; demographic characteristic ; household energy consumption ; demand-side management ; energy management ; time series ; Hidden Markov Model ; short-term forecast ; sparse signal decomposition ; supervised dictionary learning ; dictionary impulsion ; singular value decomposition ; discrete cosine transform ; discrete Haar transform ; discrete wavelet transform ; transient stability assessment ; home energy management ; binary-coded genetic algorithms ; optimal power scheduling ; demand response ; Data Injection Attack ; machine learning ; critical infrastructure ; smart grid ; water treatment plant ; power system ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
    Language: English
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  • 4
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    Advances in Computational Intelligence Applications in the Mining Industry (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-03-21
    Description: This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
    Keywords: truck dispatching ; mining equipment uncertainties ; orebody uncertainty ; discrete event simulation ; Q-learning ; grinding circuits ; minerals processing ; random forest ; decision trees ; machine learning ; knowledge discovery ; variable importance ; mineral prospectivity mapping ; random forest algorithm ; epithermal gold ; unstructured data ; blast impact ; empirical model ; mining ; fragmentation ; mine worker fatigue ; random forest model ; health and safety management ; stockpiles ; operational data ; mine-to-mill ; geostatistics ; ore control ; mine optimization ; digital twin ; modes of operation ; geological uncertainty ; multivariate statistics ; partial least squares regression ; oil sands ; bitumen extraction ; bitumen processability ; mine safety and health ; accidents ; narratives ; natural language processing ; random forest classification ; hyperspectral imaging ; multispectral imaging ; dimensionality reduction ; neighbourhood component analysis ; artificial intelligence ; mining exploitation ; masonry buildings ; damage risk analysis ; Bayesian network ; Naive Bayes ; Bayesian Network Structure Learning (BNSL) ; rock type ; mining geology ; bluetooth beacon ; classification and regression tree ; gaussian naïve bayes ; k-nearest neighbors ; support vector machine ; transport route ; transport time ; underground mine ; tactical geometallurgy ; data analytics in mining ; ball mill throughput ; measurement while drilling ; non-additivity ; coal ; petrographic analysis ; macerals ; image analysis ; semantic segmentation ; convolutional neural networks ; point cloud scaling ; fragmentation size analysis ; structure from motion ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 5
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    Empowering Materials Processing and Performance from Data and AI (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-09
    Description: Third millennium engineering address new challenges in materials sciences and engineering. In particular, the advances in materials engineering combined with the advances in data acquisition, processing and mining as well as artificial intelligence allow for new ways of thinking in designing new materials and products. Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm.
    Keywords: plasticity ; machine learning ; constitutive modeling ; manifold learning ; topological data analysis ; GENERIC ; soft living tissues ; hyperelasticity ; computational modeling ; data-driven mechanics ; TDA ; Code2Vect ; nonlinear regression ; effective properties ; microstructures ; model calibration ; sensitivity analysis ; elasto-visco-plasticity ; Gaussian process ; high-throughput experimentation ; additive manufacturing ; Ti–Mn alloys ; spherical indentation ; statistical analysis ; Gaussian process regression ; nanoporous metals ; open-pore foams ; FE-beam model ; data mining ; mechanical properties ; hardness ; principal component analysis ; structure–property relationship ; microcompression ; nanoindentation ; analytical model ; finite element model ; artificial neural networks ; model correction ; feature engineering ; physics based ; data driven ; laser shock peening ; residual stresses ; data-driven ; multiscale ; nonlinear ; stochastics ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Language: English
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  • 6
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    Food Processing and Its Impact on Phenolic and other Bioactive Constituents in Food (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-07-06
    Description: It is our pleasure to present this Special Issue of Molecules entitled “Food Processing and Its Impact on Phenolic and other Bioactive Constituents in Food”. Bioactive compounds including phenolic ingredients have long been used as important constituents of a healthy diet. As a result, consumer awareness about the important role of high-quality products rich in bioactive compounds—especially phenolic compounds—in human nutrition, health, and prevention against diseases has increased. Additionally, methods for food processing, regardless of the technology used, have a huge impact on the quality of the final products. Therefore, the big challenges for scientists lie in the monitoring of changes during food processing and the optimization of technology to achieve the minimal degradation of nutrients (including phenolic compounds). Thus, for this Special Issue, I encourage you to read some interesting papers aimed at bringing the latest scientific news, insights, and advances in the field of food processing and its impact on bioactive constituents in food, especially phenolic compounds. The information presented will certainly arouse considerable interest among a large group of our readers from different disciplines and research fields.
    Keywords: apple ; phenolic compounds ; genetic resources ; HPLC-DAD ; thyme ; oregano ; dry herbs ; polyphenols ; chlorophyll ; carotenoids ; microbial ; cytotoxicity ; dissolution test ; functional food ; innovative food ; drying ; natural food ; Helianthus tuberosus ; pro-healthy properties ; plant polyphenols ; food processing ; phenolic content ; bioavailability ; bioaccessibility ; coffee Arabica ; roasting process ; brewing methods ; antioxidant activity ; flavonoids ; caffeine ; pH of infusions ; tannins ; snack ; baking ; carotenoids content ; chlorophyll content ; total polyphenols content ; calorific value ; sensory properties ; sourdough fermentation ; inoculation ; lactic acid bacteria ; FODMAP ; fructans ; antioxidants ; chocolate ; free radical scavenging activity ; reducing power ; functionalization of food ; electronic nose analysis ; isoflavone conversion ; thermal process ; immature seeds ; mature seeds ; internal water content ; konjac ; linseed flour ; fat substitute ; volatile compounds ; lipid oxidation ; encapsulation ; Mauritia flexuosa (aguaje) ; controlled dehydration ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFC Cultural studies::JFCV Food & society
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  • 7
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    Fit-for-Purpose Land Administration Fit-for-Purpose Land Administration- Providing Secure Land Rights at Scale. Volume 1: Conceptual Innovations (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-27
    Description: This Special Issue provides an insight, collated from 26 articles, focusing on various aspects of the Fit-For-Purpose Land Administration (FFPLA) concept and its application. It presents some influential and innovative trends and recommendations for designing, implementing, maintaining and further developing Fit-For-Purpose solutions for providing secure land rights at scale. The first group of 14 articles is published in Volume One and discusses various conceptual innovations related to spatial, legal and institutional aspects and its wider applications within land use management. The second group of 12 articles is published in Volume Two and focuses on case studies from various countries throughout the world, providing evidence and lessons learned from the FFPLA implementation process.
    Keywords: complete cadastre ; legal element ; fixing boundary ; eligible landowner ; agreement ; boundary marker ; fit-for-purpose land administration (FFP LA) ; violent conflict ; United Nations ; extra-legal ; transitional justice ; peace building ; land governance ; power relations ; securing land rights ; land registration ; development impacts ; fit-for-purpose land administration ; land administration ; decentralization ; India ; fit-for-purpose ; institutions ; governance ; politics ; Amazon ; deforestation ; Fit-For-Purpose land administration ; participatory mapping ; indigenous land conflict ; Cumaribo ; Colombia ; community-based land adjudication ; components of adjudication ; land tenure ; land rights ; good practices ; updating land records ; systematic land registration ; unconventional approach ; case study ; Benin ; cadaster ; land administration domain model ; LADM ; cadastre ; FFPLA ; customary tenure ; land inventory ; land management ; mobile-based applications ; pro-poor ; land surveying ; tenure security ; land rights and tenure ; fit-for-purpose approach ; human rights ; design science research ; design thinking ; fit for purpose ; spatial data quality ; spatial data quality assurance ; maintenance ; update ; upgrade ; upkeep ; renewal ; data quality ; spatial framework ; STDM ; technology ; UAV ; feature extraction ; rapid urbanization ; climate change ; pandemic ; urban resilience ; spatial ; legal ; and institutional frameworks ; land tenure security ; pro-poor land recordation ; land governance reform ; cost effectiveness ; innovative technology ; case studies ; Uganda ; customary land tenure ; land recordation tools ; semantic technologies ; land information system ; fit-for-purpose land management ; aerial and street level imagery ; machine learning ; integrated land programs ; land policy ; pilot study ; informal settlements ; urban development ; Brazil ; community-based crowdsourcing ; SiGIT ; Ecuador ; land and resources rights ; public-private partnerships ; corporate social responsibility ; poverty reduction ; business driven solutions ; social enterprises ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 8
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    Fast-Growing Trees Species—Opportunities and Risks for Sustainable Agricultural and Forest Land Use Systems (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-07-06
    Description: The articles in this Special Issue cover a very wide range of topics related to the cultivation, management and use of fast-growing tree species. In addition to research on breeding and on the influence of pruning practices on the height growth of paulownia, three articles deal with the influence of site characteristics and nutrient availability on the physiology and yield security of fast-growing tree species. Another article focuses on the modeling of soil carbon in Salix plantations, while the article by Boruszewski et al. reports on potentially suitable areas for the planting of fast-growing tree species in Poland. Zitzmann and Rode examine the impact of short-rotation plantation management on phytodiversity, while Helbig et al. deal with the influence of leaf feeding on the growth of poplars and willows. Finally, Hernandez-Estrada et al. describe the dry matter loss of poplar wood chips during storage.
    Keywords: woody biomass crops ; bioenergy ; biodiversity ; species richness ; flora ; vascular plants ; short rotation coppices ; poplars ; willows ; feeding simulation ; defoliation ; herbivory ; short rotation coppice ; phosphatase activity ; nutrient content ; growth stages ; biomass ; willow ; Salix ; capacity ; European larch ; fast-growing trees ; plantations ; plantation area ; poplar cultivar “Hybrid 275” ; sown area ; biomass production ; life cycle assessment ; climate impact ; soil organic carbon ; genotypic difference ; CRISPR/Cas9 ; genome editing ; Populus ; INRA 717-1B4 ; pyramidal plant habitus ; leaf petiole angle ; branch angle ; nitrogen ; phosphorus ; carbon ; physiology ; F. mandshurica ; Robinia pseudoacacia L. ; photosynthetic vitality ; chlorophyll and phenol content ; nutrition supply ; dry matter yield ; land reclamation ; spring pruning ; year-long pruning ; branching ; angle diversion of sprout ; dry matter losses ; poplar wood chips ; laboratory scale ; cultivable saproxylic microbiota ; 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::K Economics, finance, business & management::KN Industry & industrial studies::KNA Primary industries::KNAL Forestry & related industries
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  • 9
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    AI Applications to Power Systems (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.
    Keywords: self-healing grid ; machine-learning ; feature extraction ; event detection ; optimization techniques ; manta ray foraging optimization algorithm ; multi-objective function ; radial networks ; optimal power flow ; automatic P2P energy trading ; Markov decision process ; deep reinforcement learning ; deep Q-network ; long short-term delayed reward ; inter-area oscillations ; modal analysis ; reduced order modeling ; dynamic mode decomposition ; machine learning ; artificial neural networks ; steady-state security assessment ; situation awareness ; cellular computational networks ; load flow prediction ; contingency ; fuzzy system ; change detection ; data analytics ; data mining ; filtering ; optimization ; power quality ; signal processing ; total variation smoothing ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 10
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    Molecular Aspects of Plant Salinity Stress and Tolerance (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-02-01
    Description: This book presents the advances in plant salinity stress and tolerance, including mechanistic insights revealed using powerful molecular tools and multi-omics and gene functions studied by genetic engineering and advanced biotechnological methods. Additionally, the use of plant growth-promoting rhizobacteria in the improvement of plant salinity tolerance and the underlying mechanisms and progress in breeding for salinity-tolerant rice are comprehensively discussed. Clearly, the published data have contributed to the significant progress in expanding our knowledge in the field of plant salinity stress and the results are valuable in developing salinity-stress-tolerant crops; in benefiting their quality and productivity; and eventually, in supporting the sustainability of the world food supply.
    Keywords: watermelon ; salt stress ; RNA-seq ; amino acids ; endocytosis ; Arabidopsis thaliana ; halophyte ; high-affinity potassium transporter (HKT) ; Na+ transporter ; salt tolerance ; Sporobolus virginicus ; aquaporins ; barley ; ion transport ; oocytes ; plasma membrane intrinsic proteins (PIPs) ; GmbZIP15 ; transcription factor ; drought stress ; soybean ; biotechnology breeding ; high-throughput sequencing ; QTLs ; rice ; halophytic wild barley ; salinity ; osmotic stress ; metabolome ; transcriptome ; ionome ; stress adaptation ; Hordeum marinum ; aquaporin ; Zygophyllum xanthoxylum ; plant growth ; abiotic stress ; sensing ; signaling ; transcription factors ; osmoregulation ; antioxidation ; ion homeostasis ; jasmonates ; jasmonate signaling pathway ; crosstalk ; exogenous jasmonate applications ; GWAS ; PGPR ; ACC deaminase ; seed priming ; IAA ; cell wall integrity ; cell wall sensor ; LRXs ; CrRLK1Ls ; Millettia pinnata ; calmodulin-like ; heterologous expression ; halophiles ; plant growth-promoting rhizobacteria (PGPR) ; RNA sequence analysis (RNA-seq) ; quantitative reverse transcriptase PCR (qRT-PCR) ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
    Language: English
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