نوع المادة: كتاب

الموضوعات

English fiction, Study and teaching.

Autistic people, Language.

Language and languages.

LITERARY CRITICISM / American / General

MEDICAL, Internal Medicine.

MEDICAL, Evidence-Based Medicine.

MEDICAL, Diseases.

MEDICAL, Clinical Medicine.

HEALTH & FITNESS, Diseases, General.

languages (study discipline)

Langage et langues.

Roman anglais, Étude et enseignement.

Autistes, Éducation.

Autistes, Langage.

Autistes, Psychologie.

Language

Autistic Disorder, psychology

Language and languages.

English fiction, Study and teaching.

Autistic people, Education.

Autistic people, Language.

Autistic people, Psychology.

المصادر: MUSE

اللغة: الإنجليزية

التاريخ: 2018

ردمك: 9781478002734

1 online resource (296 pages).

ملف خارجي

نوع المادة: كتاب

الموضوعات

wake; bluff body; square cylinder; DDES; URANS; turbulence model; large eddy simulation; Taylor–Green vortex; numerical dissipation; modified equation analysis; truncation error; MUSCL; dynamic Smagorinsky subgrid-scale model; kinetic energy dissipation; computational fluid dynamics (CFD); microfluidics; numerical methods; gasdynamics; shock-channel; microelectromechanical systems (MEMS); discontinuous Galerkin finite element method (DG–FEM); fluid mechanics; characteristics-based scheme; multi-directional; Riemann solver; Godunov method; bifurcation; wind tunnel; neural networks; modeling; unsteady aerodynamic characteristics; high angles of attack; hypersonic; wake; chemistry; slender-body; angle of attack; detection; after-body; S-duct diffuser; flow distortion; flow control; vortex generators; aeroelasticity; reduced-order model; flutter; wind gust responses; computational fluid dynamics; convolution integral; sharp-edge gust; reduced order aerodynamic model; geometry; meshing; aerodynamics; CPACS; MDO; VLM; Euler; CFD; variable fidelity; multi-fidelity; aerodynamic performance; formation; VLM; RANS; hybrid reduced-order model; quasi-analytical; aeroelasticity; flexible wings; subsonic; wing–propeller aerodynamic interaction; p-factor; installed propeller; overset grid approach

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038976103

ملف خارجي

نوع المادة: كتاب

الموضوعات

planetary systems; planetary nebulae; stars: binaries; stars: AGB and post-AGB; stars: variables: general; stars: abundances; stars: AGB and post-AGB; stars: atmospheres; stars: individual: WD 0044–121; stars: individual: WD 2134+25; stars: individual: WD 1751+106; planetary nebulae; asymptotic giant branch stars; mass loss; infra-red; planetary nebulae; integral field spectroscopy; stellar evolution; binarity; planetary nebulae; stellar mass loss; stellar evolution; planetary nebulae; circumstellar dust; planetary nebulae; mass-loss; stellar evolution; X-rays; stellar evolution; late stage stellar evolution; binarity: transients: planetary nebulae; planetary nebulae; stars: AGB and post-AGB; late stage stellar evolution; planetary nebulae; stars: binaries; central stars of planetary nebulae; proto-planetary nebulae; binaries: spectroscopic; stars: atmospheres; stars: abundances; supernovae; late stage stellar evolution; planetary nebulae; binarity; stellar evolution; AGB and post-AGB stars; circumstellar matter; winds and outflows; mass-loss; jets; binaries: close; stars: AGB and post-AGB; stars: winds, outflows; ISM: jets and outflows; binary stars; post-AGB; discs; planetary nebula; X-ray; stellar evolution; AGB stars; post-AGB stars; planetary nebulae; planetary nebulae; fullerenes; planetary nebulae; AGB and post-AGB stars; binarity; accretion disks; jets; mass-loss; circumstellar matter; (sub)millimeter interferometry; ultraviolet radiation, X-rays; infrared interferometry; AGB stars; stellar evolution; observations; aperture masking; planetary nebulae; binarity; abundances; stellar evolution; post-AGB stars; pre-PN hydrodynamic models; planetary nebulae: Common Envelope; planetary nebulae: individual (OH231+8+04.2); astrochemistry; planetary nebulae; UIE bands; normal modes; displacement vectors; late-stage stellar evolution; planetary nebulae; multi-wavelength photometry; radial velocity; stellar evolution; pulsation; shock wave; late stage stellar evolution; planetary nebulae; theory and observation; planetary nebulae; AGB and post-AGB; interstellar medium; radio continuum; winds; outflows; dust; extinction; ISM: abundances; planetary nebulae: individual (NGC 6781)

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038976400

ملف خارجي

نوع المادة: كتاب

الموضوعات

evapotranspiration; Northeast China; MS–PT algorithm; spatial-temporal variations; controlling factors; potential evapotranspiration; vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT; leaf area density; terrestrial LiDAR; tree canopy; vertical structure; voxel; spatial representativeness; heterogeneity; validation; land-surface temperature products (LSTs); observations; HiWATER; remote sensing; spatiotemporal representative; cost-efficient, sampling design; heterogeneity; validation; FY-3C/MERSI; GLASS; Land surface temperature; Land surface emissivity; GPP; SIF; MuSyQ-GPP algorithm; BEPS; vegetation phenology; Tibetan Plateau; MODIS; NDVI; start of growing season (SOS); end of growing season (EOS); GLASS LAI time series; forest disturbance; disturbance index; latent heat; machine learning algorithms; plant functional type; high-resolution freeze/thaw; AMSR2; MODIS; LAI; ZY-3 MUX; GF-1 WFV; HJ-1 CCD; maize; PROSPECT-5B+SAILH (PROSAIL) model; spatial heterogeneity; variability; evapotranspiration; land surface variables; probability density function; HiWATER; spectral; albedometer; interference filter; photoelectric detector; validation; land surface albedo; multi-scale validation; rugged terrain; MRT-based model; MCD43A3 C6; precipitation; statistics methods; China; Tibetan Plateau; South China’s; drought; SPI; TMI data; crop-growing regions; downward shortwave radiation; machine learning; gradient boosting regression tree; AVHRR; CMA; BRDF; aerosol; MODIS; sunphotometer; arid/semiarid; solar-induced chlorophyll fluorescence; fluorescence quantum efficiency in dark-adapted conditions (FQE); SCOPE; Fraunhofer Line Discrimination (FLD); gross primary productivity (GPP); longwave upwelling radiation (LWUP); Visible Infrared Imaging Radiometer Suite (VIIRS); surface radiation budget; hybrid method; remote sensing; leaf age; leaf spectral properties; leaf area index; Cunninghamia; Chinese fir; canopy reflectance; NIR; EVI2; geometric optical radiative transfer (GORT) model; land surface albedo; snow-free albedo; rugged terrain; topographic effects; black-sky albedo (BSA); GPP; NPP; MODIS; validation; phenology; RADARSAT-2; rice; Synthetic Aperture Radar (SAR); decision tree; forest canopy height; aboveground biomass; ICESat GLAS; Landsat; random forest model; anisotropic reflectance; BRDF; rugged terrain; solo slope; composite slope; surface solar irradiance; geostationary satellite; polar orbiting satellite; LUT method; SURFRAD; downward shortwave radiation; daily average value; Antarctica; sinusoidal method; cloud fraction; interpolation; boreal forest; GPP; spatiotemporal distribution and variation; meteorological factors; phenological parameters; multisource data fusion; aerosol retrieval; urban scale; vegetation dust-retention; multiple ecological factors; geographical detector model; snow cover; passive microwave; FY-3C/MWRI; algorithmic assessment; China; land surface temperature; satellite observations; flux measurements; latitudinal pattern; land cover change; fractional vegetation cover (FVC); multi-data set; northern China; spatio-temporal; inter-annual variation; uncertainty; standard error of the mean; downscaling; GPP; spatial heterogeneity; remote sensing; subpixel information; LiDAR; point cloud; leaf; gap fraction; 3D reconstruction; biodiversity; remote sensing; species richness; metric comparison; metric integration; leaf area index; MODIS products; Landsat; high resolution; homogeneous and pure pixel filter; pixel unmixing; vertical vegetation stratification; gross primary production (GPP); light use efficiency; dense forest; MODIS; VPM; temperature profiles; humidity profiles; n/a; geometric-optical model; thermal radiation directionality; quantitative remote sensing inversion; scale effects; comprehensive field experiment

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038972709

ملف خارجي

نوع المادة: كتاب

الموضوعات

evapotranspiration; Northeast China; MS–PT algorithm; spatial-temporal variations; controlling factors; potential evapotranspiration; vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT; leaf area density; terrestrial LiDAR; tree canopy; vertical structure; voxel; spatial representativeness; heterogeneity; validation; land-surface temperature products (LSTs); observations; HiWATER; remote sensing; spatiotemporal representative; cost-efficient, sampling design; heterogeneity; validation; FY-3C/MERSI; GLASS; Land surface temperature; Land surface emissivity; GPP; SIF; MuSyQ-GPP algorithm; BEPS; vegetation phenology; Tibetan Plateau; MODIS; NDVI; start of growing season (SOS); end of growing season (EOS); GLASS LAI time series; forest disturbance; disturbance index; latent heat; machine learning algorithms; plant functional type; high-resolution freeze/thaw; AMSR2; MODIS; LAI; ZY-3 MUX; GF-1 WFV; HJ-1 CCD; maize; PROSPECT-5B+SAILH (PROSAIL) model; spatial heterogeneity; variability; evapotranspiration; land surface variables; probability density function; HiWATER; spectral; albedometer; interference filter; photoelectric detector; validation; land surface albedo; multi-scale validation; rugged terrain; MRT-based model; MCD43A3 C6; precipitation; statistics methods; China; Tibetan Plateau; South China’s; drought; SPI; TMI data; crop-growing regions; downward shortwave radiation; machine learning; gradient boosting regression tree; AVHRR; CMA; BRDF; aerosol; MODIS; sunphotometer; arid/semiarid; solar-induced chlorophyll fluorescence; fluorescence quantum efficiency in dark-adapted conditions (FQE); SCOPE; Fraunhofer Line Discrimination (FLD); gross primary productivity (GPP); longwave upwelling radiation (LWUP); Visible Infrared Imaging Radiometer Suite (VIIRS); surface radiation budget; hybrid method; remote sensing; leaf age; leaf spectral properties; leaf area index; Cunninghamia; Chinese fir; canopy reflectance; NIR; EVI2; geometric optical radiative transfer (GORT) model; land surface albedo; snow-free albedo; rugged terrain; topographic effects; black-sky albedo (BSA); GPP; NPP; MODIS; validation; phenology; RADARSAT-2; rice; Synthetic Aperture Radar (SAR); decision tree; forest canopy height; aboveground biomass; ICESat GLAS; Landsat; random forest model; anisotropic reflectance; BRDF; rugged terrain; solo slope; composite slope; surface solar irradiance; geostationary satellite; polar orbiting satellite; LUT method; SURFRAD; downward shortwave radiation; daily average value; Antarctica; sinusoidal method; cloud fraction; interpolation; boreal forest; GPP; spatiotemporal distribution and variation; meteorological factors; phenological parameters; multisource data fusion; aerosol retrieval; urban scale; vegetation dust-retention; multiple ecological factors; geographical detector model; snow cover; passive microwave; FY-3C/MWRI; algorithmic assessment; China; land surface temperature; satellite observations; flux measurements; latitudinal pattern; land cover change; fractional vegetation cover (FVC); multi-data set; northern China; spatio-temporal; inter-annual variation; uncertainty; standard error of the mean; downscaling; GPP; spatial heterogeneity; remote sensing; subpixel information; LiDAR; point cloud; leaf; gap fraction; 3D reconstruction; biodiversity; remote sensing; species richness; metric comparison; metric integration; leaf area index; MODIS products; Landsat; high resolution; homogeneous and pure pixel filter; pixel unmixing; vertical vegetation stratification; gross primary production (GPP); light use efficiency; dense forest; MODIS; VPM; temperature profiles; humidity profiles; n/a; geometric-optical model; thermal radiation directionality; quantitative remote sensing inversion; scale effects; comprehensive field experiment

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038972761

ملف خارجي

نوع المادة: كتاب

الموضوعات

data scarce basins; runoff series; data forward prediction; ensemble empirical mode decomposition (EEMD); stopping criteria; method of tracking energy differences (MTED); deep learning; convolutional neural networks; superpixel; urban water bodies; high-resolution remote-sensing images; monthly streamflow forecasting; artificial neural network; ensemble technique; phase space reconstruction; empirical wavelet transform; hybrid neural network; flood forecasting; self-organizing map; bat algorithm; particle swarm optimization; flood routing; Muskingum model; machine learning methods; St. Venant equations; rating curve method; nonlinear Muskingum model; hydrograph predictions; flood routing; Muskingum model; hydrologic models; improved bat algorithm; Wilson flood; Karahan flood; flood susceptibility modeling; ANFIS; cultural algorithm; bees algorithm; invasive weed optimization; Haraz watershed; ANN-based models; flood inundation map; self-organizing map (SOM); recurrent nonlinear autoregressive with exogenous inputs (RNARX); ensemble technique; artificial neural networks; uncertainty; streamflow predictions; sensitivity; flood forecasting; extreme learning machine (ELM); backtracking search optimization algorithm (BSA); the upper Yangtze River; deep learning; LSTM network; water level forecast; the Three Gorges Dam; Dongting Lake; Muskingum model; wolf pack algorithm; parameters; optimization; flood routing; flash-flood; precipitation-runoff; forecasting; lag analysis; random forest; machine learning; flood prediction; flood forecasting; hydrologic model; rainfall–runoff, hybrid &; ensemble machine learning; artificial neural network; support vector machine; natural hazards &; disasters; adaptive neuro-fuzzy inference system (ANFIS); decision tree; survey; classification and regression trees (CART), data science; big data; artificial intelligence; soft computing; extreme event management; time series prediction; LSTM; rainfall-runoff; flood events; flood forecasting; data assimilation; particle filter algorithm; micro-model; Lower Yellow River; ANN; hydrometeorology; flood forecasting; real-time; postprocessing; machine learning; early flood warning systems; hydroinformatics; database; flood forecast; Google Maps

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038975489

ملف خارجي

نوع المادة: كتاب

الموضوعات

complexity; streamflow; water level; composite multiscale sample entropy; trend; Poyang Lake basin; four-parameter exponential gamma distribution; principle of maximum entropy; precipitation frequency analysis; methods of moments; maximum likelihood estimation; flood frequency analysis; generalized gamma (GG) distribution; principle of maximum entropy (POME); entropy theory; principle of maximum entropy (POME); GB2 distribution; flood frequency analysis; non-point source pollution; ANN; entropy weighting method; data-scarce; multi-events; spatio-temporal variability; soil water content; entropy; arid region; joint entropy; NDVI; temperature; precipitation; groundwater depth; Hei River basin; turbulent flow; canopy flow; randomness; coherent structures; Shannon entropy; Kolmogorov complexity; entropy; information transfer; optimization; radar; rainfall network; water resource carrying capacity; forewarning model; entropy of information; fuzzy analytic hierarchy process; projection pursuit; accelerating genetic algorithm; entropy production; conditional entropy production; stochastic processes; scaling; climacogram; turbulence; water resources vulnerability; connection entropy; changing environment; set pair analysis; Anhui Province; cross-entropy minimization; land suitability evaluation; spatial optimization; monthly streamflow forecasting; Burg entropy; configurational entropy; entropy spectral analysis time series analysis; entropy; water monitoring; network design; hydrometric network; information theory; entropy applications; hydrological risk analysis; maximum entropy-copula method; uncertainty; Loess Plateau; entropy; water engineering; Tsallis entropy; principle of maximum entropy; Lagrangian function; probability distribution function; flux concentration relation; uncertainty; information; informational entropy; variation of information; continuous probability distribution functions; confidence intervals; precipitation; variability; marginal entropy; crop yield; Hexi corridor; flow duration curve; Shannon entropy; entropy parameter; modeling; spatial and dynamics characteristic; hydrology; tropical rainfall; statistical scaling; Tsallis entropy; multiplicative cascades; Beta-Lognormal model; rainfall forecast; cross entropy; ant colony fuzzy clustering; combined forecast; information entropy; mutual information; kernel density estimation; ENSO; nonlinear relation; scaling laws; power laws; water distribution networks; robustness; flow entropy; entropy theory; frequency analysis; hydrometeorological extremes; Bayesian technique; rainfall; entropy ensemble filter; ensemble model simulation criterion; EEF method; bootstrap aggregating; bagging; bootstrap neural networks; El Niño; ENSO; neural network forecast; sea surface temperature; tropical Pacific; entropy; cross elasticity; mean annual runoff; water resources; resilience; quaternary catchment; complement; substitute; entropy theory; complex systems; hydraulics; hydrology; water engineering; environmental engineering

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038972228

ملف خارجي