Contributors: Armaghani, Danial Jahed, Zhang, Yixia, Samui, Pijush, Elshafie, Ahmed Hussein Kamel Ahmed, Azizi, Aydin
Subject Terms: confinement of concrete, CFST composite column, artificial intelligence, gene-expression programming, hybrid techniques, finite element method (FEM), imbalanced data, travel mode choice data, hybrid support vector machine-based model, rock excavation, soft computing, cutter life index, rock strength, brittleness, classification, slope stability, tree-based models, random forest, AdaBoost, decision tree, 3D bridge model, IFC-based bridge model, engineering document, document fragment, integrated operation, granular model, incremental granular model, interval-based fuzzy c-means clustering, coverage, specificity, performance index, piezocone, soil classification, fuzzy C-means clustering, neuro-fuzzy, scratch-resistant, hydrophobic, GPTES, transparent, sol–gel, blasting, ground vibration, PPV prediction, whale optimization algorithm, salp swarm optimizer, spread foundation, retaining structures, economic design, rock brittleness, linear genetic programming, bagged regression tree, lazy machine learning method, SCC, compressive strength, fly ash, statistical analysis, modeling, blockchain technology, intelligent technology, internet of vehicles, malicious nodes, identification algorithm, inverse analysis, hydraulic conductivities, Gray Wolf Optimizer, thermal conductivity, geothermal systems, gene expression programming (GEP), non-linear multivariable regression (NLMR), P-wave, porosity, backpropagation neural network, blast-induced ground vibration, Gaussian process regression, green campus, shared free-floating electric scooter, usage frequency prediction, battery electric, battery pack, energy performance, simulation, second life batteries, off-grid PV system, residential building, EV charging station, optimization, metaheuristic algorithms, streamflow forecasting, concrete, water-reducer contents, workability, slump retention, conceptual framework, crowd-machine hybrid interaction, design implications, hybrid intelligence, survey, taxonomy, thema EDItEUR:K Economics, Finance, Business and Management:KN Industry and industrial studies:KNT Media, entertainment, information and communication industries:KNTX Information technology industries
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Contributors: Kuwajima, Kunihiro, Okamoto, Yuko, Knowles, Tuomas, Vendruscolo, Michele
Subject Terms: 14-3-3 proteins, molecular chaperone, amyloid β, α-synuclein, NMR spectroscopy, amyloid fibril, amyloidogenesis, aggregation, adsorption, Aβ 1-40 peptide, boundary of liquid phase, self-assembly, extraction, solubilization, toxic oligomers, Parkinson’s disease, familial mutations, α-helical structure, amyloid-beta, mutants, cholesterol, simulations, X-ray crystallography, phospholipase A1, homodimer, dimerization domain, catalytic triad, plant protein, molecular dynamics simulation, replica permutation method, amyloid-β, disaggregation, β-sheet, α-helix, interface, inhibitor, polyphenol, high-temperature reversible oligomerization, amyloidogenicity, oligomeric interface residues, thermal denaturation, mutational analysis, RHIM, TRIF, necroptosis, functional amyloid, fibrils, RIPK, turbulent mixing, continuous flow, fluorescence, reaction mechanism, protein folding, protein–ligand interactions, protein design, reverse fold, minimum frustration, protein structure prediction, sequence-structure alignment, template-based modeling, conditional random fields, boosted regression trees, CASP, hydrogen/deuterium exchange, dimethylsulfoxide, nuclear magnetic resonance, chaperonin, GroEL, protease, Lon protease, proteomics, proteostasis, Hfq hexamer, mutations, unfolding intermediates, thermodynamics, amyloid, insulin B chain, nucleation, prefibrillar aggregates, protofibrils, bacterial amyloid, biofilm, curli, FapC, imperfect repeats, neurodegeneration, oligomerisation, native-like, micelle, globular protein, rigid native state, molten globule, intrinsically disordered, functional state, unfolded state, coil, post-translational modifications, membrane, chaperone, statistical mechanical model, WSME model, folding kinetics, folding intermediates, protein dynamics, amyloid fibrils, amorphous aggregation, β2-microglobulin, protein misfolding, solubility, supersaturation, ultrasonication, cryo-electron microscopy, fibril, ganglioside, cancer, prion, folding, pathway, interdiction, peptide, enhanced sampling method, molecular force fields, van der Waals interaction, CHARMM36m, NBFIX, intrinsically disordered proteins, crowding simulations, thema EDItEUR:G Reference, Information and Interdisciplinary subjects:GP Research and information: general, thema EDItEUR:P Mathematics and Science:PS Biology, life sciences
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Contributors: Piotrowski, Paweł, Dudek, Grzegorz, Baczyński, Dariusz
Subject Terms: hybrid AC/DC microgrid, optimization of configuration and operating states, CLONALG, modified hypermutation operator, wind energy, wind farm, ensemble methods, short-term forecasting, electric energy production, machine learning, deep neural network, swarm intelligence, voltage control, voltage quality, renewable energy, metaheuristic optimisation, medium voltage, Q(U) characteristics, microgrids, operation control, power generation, PV system, very-short-term forecasting, interval type-2 fuzzy logic system, distribution of electric power, distributed storage and generation, smart grids, power distribution reliability, information and communication technology, energy efficiency, cooling towers, chillers, evolutionary multi-objective optimization, mid-term forecast, e-mobility, electric vehicles (EVs), power system demand, load profile forecast, machine learning (ML), electricity load forecasting, bootstrap aggregating, singular spectrum analysis, time series forecasting, calendar variation, electrical power demand, power systems, autoregressive forecasting methods, classical forecasting methods, artificial intelligence methods, Big Data, Data Mining, auto-regressive integrated moving average (ARIMA), long short-term memory (LSTM), Optuna, isolation forest (IF), elliptic envelope (EE), one-class support vector machine (OCSVM), neuromorphic computing, spiking neural network, short-term wind power forecasting, random forest, regression tree, pattern representation of time series, short-term load forecasting, transfer learning, wind power, photovolatic power, autoencoders, deep learning, time series, wind power prediction, hybrid methods, time series analysis, forecasting error, evaluation criteria metrics, wind power forecasting, wind turbine, statistical analysis of errors, medium-term load forecasting, pattern-based forecasting, time-series preprocessing, photovoltaic (PV), forecast, behind-the-meter (BTM), spatio-temporal, strategic training, deep neural networks, LSTM, time series prediction, optimisation, GA, PSO, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TB Technology: general issues, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TB Technology: general issues:TBX History of engineering and technology, thema EDItEUR:K Economics, Finance, Business and Management:KN Industry and industrial studies:KNB Energy industries and utilities
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Contributors: Sultan, Muhammad, Zhou, Yuguang, Den, Walter, Sajjad, Uzair
Subject Terms: greenhouse, microclimate, Bayesian optimization, deep neural network, roses yield, Gaussian process, gradient boosting, pool boiling heat transfer coefficient, sintered coated porous surfaces, gaussian process, gradient boosting regression trees, response surface, renovation index, CFD simulation, airflow, evaporative cooling, desiccant dehumidification, agricultural storage, air conditioning, system performance, lemon cordial, microwave, preservation, green processing, antioxidant potential, renewable energy, Scheffler concentrator reflector, batch-type solar roaster, response surface methodology, coffee roasting, municipal solid waste, sanitary landfill, open dumps, waste to energy, climate change, yogurt processing, solar energy, solar-based heating and cooling, thermal analysis, vegetable yield, nitrogen use efficiency, nutrient leaching, leaching-to-input ratio, nitrogen fertilizer economic benefit, environment, eutrophication, particulate fraction, effluent, treatment, thermal screens, heating demand, TRNSYS, greenhouse internal temperature, building energy simulation, longwave radiation, soil total nitrogen, BP neural network, support vector machines, spatial distribution, remote sensing, bic Book Industry Communication:G Reference, information & interdisciplinary subjects:GP Research & information: general, bic Book Industry Communication:P Mathematics & science:PS Biology, life sciences, bic Book Industry Communication:T Technology, engineering, agriculture
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Contributors: Quevedo, Jay Mar D., Tamura, Norie, Uchiyama, Yuta, Kohsaka, Ryo
Subject Terms: urban beekeeping, regulations, barrier, setback, 3D laser scanner, remote sensing, fence location, organic agriculture, environment-friendly agriculture, regression tree, attitude, motivation, satisfaction, property rights, ecological property rights, forestry investment, farmers’ behavior, reservoir confluence area, subjective wellbeing, community perceptions, urban gardening, Indonesia, COVID-19, evidence-based policymaking, agricultural land, forests, consensus building, Japan, collective forest rights, land tenure, reform, forestland investment, public welfare, forest land, migration, drought tolerant breeds, adaptation, relief grants, policy intervention, smallholder livestock farmers, agricultural, urban, rice–fish farming, biodiversity, education, experience, museum, land use, land cover, temporal and spatial change, ecosystem assessment, GIS, northeast forest belt, agroecosystem services, alpine areas, extensive livestock farming, stakeholder participation, focus group, water resources, water framework directive, 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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Contributors: Ganguli, Rajive, Dessureault, Sean, Rogers, Pratt
Subject Terms: 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, 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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Contributors: Korol, Tomasz
Subject Terms: economics of family, personal finance, financial energy, forecasting, bankruptcy of households, financial health, consumer finance, consequences of COVID-19, farms, factors determining the propensity to use external capital, logistic regression, classification and regression trees (CRT), Central Pomerania, Poland, COVID-19, pandemic, company’s performance, crude oil, energy markets, technical trading rules, predictability, data snooping, market efficiency, COVID-19 pandemic, hold-up problem, natural gas, transit country, gas wars, Sustainable Development Goals (SDGs), sustainable entrepreneurship, family firm, managerial overconfidence, financial strategy, electric cars, Asia, ASEAN, tax incentives, development forecasts, bic Book Industry Communication:K Economics, finance, business & management:KC Economics:KCM Development economics & emerging economies
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Contributors: Gocheva-Ilieva, Snezhana
Subject Terms: mathematical competency, assessment, machine learning, classification and regression tree, CART ensembles and bagging, ensemble model, multivariate adaptive regression splines, cross-validation, dam inflow prediction, long short-term memory, wavelet transform, input predictor selection, hyper-parameter optimization, brain-computer interface, EEG motor imagery, CNN-LSTM architectures, real-time motion imagery recognition, artificial neural networks, banking, hedonic prices, housing, quantile regression, data quality, citizen science, consensus models, clustering, Gower’s interpolation formula, Gower’s metric, mixed data, multidimensional scaling, classification, data-adaptive kernel functions, image data, multi-category classifier, predictive models, support vector machine, stochastic gradient descent, damped Newton, convexity, METABRIC dataset, breast cancer subtyping, deep forest, multi-omics data, categorical data, similarity, feature selection, kernel density estimation, non-linear optimization, kernel clustering, thema EDItEUR:K Economics, Finance, Business and Management:KN Industry and industrial studies:KNT Media, entertainment, information and communication industries:KNTX Information technology industries
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Contributors: Gruber, Thomas, Eicker, Annette, Flechtner, Frank
Subject Terms: terrestrial water storage (TWS), GRACE, GLDAS, TRMM, drought, ENSO, NAO, Turkey, Mass balance, Ice Sheets, Sea-level Rise, Antarctica, CryoSat-2, GRACE-Follow On, GRACE-FO, downward continuation, spectral methods, gravity field recovery, GRACE Follow-On, orbit configuration, synergistic observation, mass transport in the Earth system, GRACE and GRACE follow-on mission, current and future observation concepts and instruments, GRACE TWSA, groundwater level anomaly, downscaling, machine learning, boosted regression trees, glacial sediment, ice mass, satellite gravimetry, Patagonia, ice mass change, SLR, swarm, normal equation combination, coseismic gravity gradient changes, gravity field model, GOCE, Earth’s gravity field, kinematic orbit, kinematic baseline, time-variable gravity, geocenter, reference frames, self-attraction and loading, Level-2 processing, time-variable gravity field, mass change monitoring, next-generation gravity mission, temporal gravity field, numerical closed-loop simulation, satellite mission constellations, mass transport, gravity field satellite missions, GOCE High-Level Processing Facility (HPF), earth gravity field, geoid, spectral enhancement method (SEM), GPS/leveling, thema EDItEUR:G Reference, Information and Interdisciplinary subjects:GP Research and information: general
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Subject Terms: Regression trees, Multilevel models, Random effects, Hierarchical data
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Relation: Proceedings e report
Contributors: Colina-Márquez, Jose, Bustillo-Lecompte, Ciro, Rehmann, Lars
Subject Terms: polycyclic musks, degradation mechanism, UV/chlorine advanced oxidation process, water treatment, UV-LED, photoreactors, mining wastewater, cyanide, metal removal, photocatalysis, TiO2 nanotubes, emerging contaminants, paracetamol, pH, heating oxidation, surface/interface properties, floatability, induction time, bubble-particle wrap angle, cow manure, chemical activation process, activated carbon, pore property, cationic pollutant, adsorption performance, nano zero-valent iron, borohydride reduction method, wastewater treatment, iron nanopowders, lead ions, biological processes, electrochemical processes, oxidation processes, petroleum, phenols, sulfides, ethyl violet, Mn-doped Fe/rGO nanocomposites, mesoporous materials, artificial intelligence, gradient boosted regression trees, total dissolved nitrogen, digestion method, digestion efficiency, intensification, ozone, electrolyzed water, foodborne pathogens, sanitization, advace oxitadion processes (AOP), electro-oxidation, ferrate ion, BBR dye, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TB Technology: general issues:TBX History of engineering and technology
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Contributors: Sidorov, Denis N.
Subject Terms: vacuum tank degasser, rule extraction, extreme learning machine, classification and regression trees, wind power: wind speed: T–S fuzzy model: forecasting, linearization, machine learning, photovoltaic output power forecasting, hybrid interval forecasting, relevance vector machine, sample entropy, ensemble empirical mode decomposition, high permeability renewable energy, blockchain technology, energy router, QoS index of energy flow, MOPSO algorithm, scheduling optimization, Adaptive Neuro-Fuzzy Inference System, insulator fault forecast, wavelet packets, time series forecasting, power quality, harmonic parameter, harmonic responsibility, monitoring data without phase angle, parameter estimation, blockchain, energy internet, information security, forecasting, clustering, energy systems, classification, integrated energy system, risk assessment, component accident set, vulnerability, hybrid AC/DC power system, stochastic optimization, renewable energy source, Volterra models, wind turbine, maintenance, fatigue, power control, offshore wind farm, Interfacial tension, transformer oil parameters, harmonic impedance, traction network, harmonic impedance identification, linear regression model, data evolution mechanism, cast-resin transformers, abnormal defects, partial discharge, pattern recognition, hierarchical clustering, decision tree, industrial mathematics, inverse problems, intelligent control, artificial intelligence, energy management system, smart microgrid, optimization, Volterra equations, energy storage, load leveling, cyber-physical systems, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TB Technology: general issues:TBX History of engineering and technology
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Authors: Taylor, Greg
Subject Terms: granular models, neural networks, actuarial, payments per claim incurred, risk pricing, machine learning, claim watching, loss reserving, gradient boosting, predictive modeling, classification and regression trees, individual models, individual claims reserving, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TD Industrial chemistry and manufacturing technologies:TDC Industrial chemistry and chemical engineering:TDCW Pharmaceutical chemistry and technology, TJ1-1570, TA1-2040, T1-995
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Authors: Ding, Yu
Subject Terms: Bayesian Additive Regression Trees, SVM Model, data mining, Power Curve Model, data analytics, Wind Speed, renewable energy, GEV Distribution, wind turbines, PACF Plot, machine learning, Wind Turbine, bayesian methods, Binning Method, data science methods, Local Wind Field, wind energy applications, ARMA Model, turbine reliability assessment, Wind Field Analysis, near-ground wind field analysis, Ahead Forecast, Wind Speed Forecast, Power Curve, Wind Farm, Test Turbine, Importance Sampling Density, Be, GMRF Model, thema EDItEUR:U Computing and Information Technology:UY Computer science:UYQ Artificial intelligence, thema EDItEUR:U Computing and Information Technology:UN Databases, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TQ Environmental science, engineering and technology, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TH Energy technology and engineering:THV Alternative and renewable energy sources and technology, thema EDItEUR:P Mathematics and Science:PB Mathematics:PBT Probability and statistics
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Authors: Lee, Saro, Jung, Hyung-Sup
Subject Terms: artificial neural network, model switching, sensitivity analysis, neural networks, logit boost, Qaidam Basin, land subsidence, land use/land cover (LULC), naïve Bayes, multilayer perceptron, convolutional neural networks, single-class data descriptors, logistic regression, feature selection, mapping, particulate matter 10 (PM10), Bayes net, gray-level co-occurrence matrix, multi-scale, Logistic Model Trees, classification, Panax notoginseng, large scene, coarse particle, grayscale aerial image, Gaofen-2, environmental variables, variable selection, spatial predictive models, weights of evidence, landslide prediction, random forest, boosted regression tree, convolutional network, Vietnam, model validation, colorization, data mining techniques, spatial predictions, SCAI, unmanned aerial vehicle, high-resolution, texture, spatial sparse recovery, landslide susceptibility map, machine learning, reproducible research, constrained spatial smoothing, support vector machine, random forest regression, model assessment, information gain, ALS point cloud, bagging ensemble, one-class classifiers, leaf area index (LAI), landslide susceptibility, landsat image, ionospheric delay constraints, spatial spline regression, remote sensing image segmentation, panchromatic, Sentinel-2, remote sensing, optical remote sensing, materia medica resource, GIS, precise weighting, change detection, TRMM, traffic CO, crop, training sample size, convergence time, object detection, gully erosion, deep learning, classification-based learning, transfer learning, landslide, traffic CO prediction, hybrid model, winter wheat spatial distribution, logistic, alternating direction method of multipliers, hybrid structure convolutional neural networks, geoherb, predictive accuracy, real-time precise point positioning, spectral bands, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TD Industrial chemistry and manufacturing technologies:TDC Industrial chemistry and chemical engineering:TDCW Pharmaceutical chemistry and technology, TJ1-1570, TA1-2040, T1-995
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Authors: Shi, Jiancheng, Liang, Shunlin, Yan, Guangjian
Subject Terms: gross primary production (GPP), interference filter, Visible Infrared Imaging Radiometer Suite (VIIRS), cost-efficient, precipitation, topographic effects, land surface temperature, Land surface emissivity, scale effects, spatial-temporal variations, statistics methods, inter-annual variation, spatial representativeness, FY-3C/MERSI, sunphotometer, PROSPECT, passive microwave, flux measurements, urban scale, vegetation dust-retention, multiple ecological factors, leaf age, standard error of the mean, LUT method, spectra, SURFRAD, Land surface temperature, aboveground biomass, uncertainty, land surface variables, copper, Northeast China, forest disturbance, end of growing season (EOS), random forest model, probability density function, downward shortwave radiation, machine learning, MODIS products, composite slope, daily average value, canopy reflectance, spatiotemporal representative, light use efficiency, hybrid method, disturbance index, quantitative remote sensing inversion, SCOPE, GPP, South China’s, anisotropic reflectance, vertical structure, snow cover, land cover change, start of growing season (SOS), MS–PT algorithm, aerosol, pixel unmixing, HiWATER, algorithmic assessment, surface radiation budget, latitudinal pattern, ICESat GLAS, vegetation phenology, SIF, metric comparison, Antarctica, spatial heterogeneity, comprehensive field experiment, reflectance model, sinusoidal method, NDVI, BRDF, cloud fraction, NPP, VPM, China, dense forest, vegetation remote sensing, Cunninghamia, high resolution, geometric-optical model, phenology, LiDAR, ZY-3 MUX, point cloud, multi-scale validation, Fraunhofer Line Discrimination (FLD), rice, fractional vegetation cover (FVC), interpolation, high-resolution freeze/thaw, drought, Synthetic Aperture Radar (SAR), controlling factors, sampling design, downscaling, Chinese fir, MRT-based model, RADARSAT-2, northern China, leaf area density, potential evapotranspiration, black-sky albedo (BSA), decision tree, CMA, fluorescence quantum efficiency in dark-adapted conditions (FQE), surface solar irradiance, validation, geographical detector model, vertical vegetation stratification, spatiotemporal distribution and variation, gap fraction, phenological parameters, spatio-temporal, albedometer, variability, GLASS, gross primary productivity (GPP), EVI2, machine learning algorithms, latent heat, GLASS LAI time series, boreal forest, leaf, maize, heterogeneity, temperature profiles, crop-growing regions, satellite observations, rugged terrain, species richness, voxel, LAI, TMI data, GF-1 WFV, spectral, HJ-1 CCD, leaf area index, evapotranspiration, land-surface temperature products (LSTs), SPI, AVHRR, Tibetan Plateau, snow-free albedo, PROSPECT-5B+SAILH (PROSAIL) model, MCD43A3 C6, 3D reconstruction, photoelectric detector, multi-data set, BEPS, aerosol retrieval, plant functional type, multisource data fusion, remote sensing, leaf spectral properties, solo slope, land surface albedo, longwave upwelling radiation (LWUP), terrestrial LiDAR, AMSR2, geometric optical radiative transfer (GORT) model, MuSyQ-GPP algorithm, tree canopy, FY-3C/MWRI, meteorological factors, solar-induced chlorophyll fluorescence, metric integration, observations, polar orbiting satellite, arid/semiarid, homogeneous and pure pixel filter, thermal radiation directionality, biodiversity, gradient boosting regression tree, forest canopy height, Landsat, subpixel information, MODIS, humidity profiles, NIR, geostationary satellite, thema EDItEUR:R Earth Sciences, Geography, Environment, Planning:RG Geography, G1-922, Q1-390
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Authors: Shi, Jiancheng, Liang, Shunlin, Yan, Guangjian
Subject Terms: gross primary production (GPP), interference filter, Visible Infrared Imaging Radiometer Suite (VIIRS), cost-efficient, precipitation, topographic effects, land surface temperature, Land surface emissivity, scale effects, spatial-temporal variations, statistics methods, inter-annual variation, spatial representativeness, FY-3C/MERSI, sunphotometer, PROSPECT, passive microwave, flux measurements, urban scale, vegetation dust-retention, multiple ecological factors, leaf age, standard error of the mean, LUT method, spectra, SURFRAD, Land surface temperature, aboveground biomass, uncertainty, land surface variables, copper, Northeast China, forest disturbance, end of growing season (EOS), random forest model, probability density function, downward shortwave radiation, machine learning, MODIS products, composite slope, daily average value, canopy reflectance, spatiotemporal representative, light use efficiency, hybrid method, disturbance index, quantitative remote sensing inversion, SCOPE, GPP, South China’s, anisotropic reflectance, vertical structure, snow cover, land cover change, start of growing season (SOS), MS–PT algorithm, aerosol, pixel unmixing, HiWATER, algorithmic assessment, surface radiation budget, latitudinal pattern, ICESat GLAS, vegetation phenology, SIF, metric comparison, Antarctica, spatial heterogeneity, comprehensive field experiment, reflectance model, sinusoidal method, NDVI, BRDF, cloud fraction, NPP, VPM, China, dense forest, vegetation remote sensing, Cunninghamia, high resolution, geometric-optical model, phenology, LiDAR, ZY-3 MUX, point cloud, multi-scale validation, Fraunhofer Line Discrimination (FLD), rice, fractional vegetation cover (FVC), interpolation, high-resolution freeze/thaw, drought, Synthetic Aperture Radar (SAR), controlling factors, sampling design, downscaling, Chinese fir, MRT-based model, RADARSAT-2, northern China, leaf area density, potential evapotranspiration, black-sky albedo (BSA), decision tree, CMA, fluorescence quantum efficiency in dark-adapted conditions (FQE), surface solar irradiance, validation, geographical detector model, vertical vegetation stratification, spatiotemporal distribution and variation, gap fraction, phenological parameters, spatio-temporal, albedometer, variability, GLASS, gross primary productivity (GPP), EVI2, machine learning algorithms, latent heat, GLASS LAI time series, boreal forest, leaf, maize, heterogeneity, temperature profiles, crop-growing regions, satellite observations, rugged terrain, species richness, voxel, LAI, TMI data, GF-1 WFV, spectral, HJ-1 CCD, leaf area index, evapotranspiration, land-surface temperature products (LSTs), SPI, AVHRR, Tibetan Plateau, snow-free albedo, PROSPECT-5B+SAILH (PROSAIL) model, MCD43A3 C6, 3D reconstruction, photoelectric detector, multi-data set, BEPS, aerosol retrieval, plant functional type, multisource data fusion, remote sensing, leaf spectral properties, solo slope, land surface albedo, longwave upwelling radiation (LWUP), terrestrial LiDAR, AMSR2, geometric optical radiative transfer (GORT) model, MuSyQ-GPP algorithm, tree canopy, FY-3C/MWRI, meteorological factors, solar-induced chlorophyll fluorescence, metric integration, observations, polar orbiting satellite, arid/semiarid, homogeneous and pure pixel filter, thermal radiation directionality, biodiversity, gradient boosting regression tree, forest canopy height, Landsat, subpixel information, MODIS, humidity profiles, NIR, geostationary satellite, bic Book Industry Communication:R Earth sciences, geography, environment, planning:RG Geography, G1-922, Q1-390
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Authors: Chang, Fi-John, Hsu, Kuolin, Chang, Li-Chiu
Subject Terms: natural hazards &, artificial neural network, flood routing, the Three Gorges Dam, backtracking search optimization algorithm (BSA), lag analysis, artificial intelligence, classification and regression trees (CART), decision tree, real-time, optimization, ensemble empirical mode decomposition (EEMD), improved bat algorithm, convolutional neural networks, ANFIS, method of tracking energy differences (MTED), adaptive neuro-fuzzy inference system (ANFIS), recurrent nonlinear autoregressive with exogenous inputs (RNARX), disasters, flood prediction, ANN-based models, flood inundation map, ensemble machine learning, flood forecast, sensitivity, hydrologic models, phase space reconstruction, water level forecast, data forward prediction, early flood warning systems, bees algorithm, random forest, uncertainty, soft computing, data science, hydrometeorology, LSTM, rating curve method, forecasting, superpixel, particle swarm optimization, high-resolution remote-sensing images, machine learning, support vector machine, Lower Yellow River, extreme event management, runoff series, empirical wavelet transform, Muskingum model, hydrograph predictions, bat algorithm, data scarce basins, Wilson flood, self-organizing map, big data, extreme learning machine (ELM), hydroinformatics, nonlinear Muskingum model, invasive weed optimization, rainfall–runoff, flood forecasting, artificial neural networks, flash-flood, streamflow predictions, precipitation-runoff, the upper Yangtze River, survey, parameters, Haraz watershed, ANN, time series prediction, postprocessing, flood susceptibility modeling, rainfall-runoff, deep learning, database, LSTM network, ensemble technique, hybrid neural network, self-organizing map (SOM), data assimilation, particle filter algorithm, monthly streamflow forecasting, Dongting Lake, machine learning methods, micro-model, stopping criteria, Google Maps, cultural algorithm, wolf pack algorithm, flood events, urban water bodies, Karahan flood, St. Venant equations, hybrid &, hydrologic model, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TB Technology: general issues:TBX History of engineering and technology, TA1-2040, T1-995, TA170-171
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