نوع المادة: كتاب

الموضوعات

earthquake engineering; uncertainty; Ground motion; Structural parameter; Interval analysis; robustness; redundancy; Earthquake input energy; double impulse; critical excitation method; Energy transfer function; Upper bound of input energy; Earthquake Response; Critical response; Elastic-plastic response; Ductility factor; Near-fault ground motion; fling-step input; forward-directivity input; triple impulse; Long-duration ground motion; resonance; Multiple impulse

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2016

ردمك: 9782889198702

ملف خارجي

نوع المادة: كتاب

الموضوعات

earthquake engineering; uncertainty; Ground motion; Structural parameter; Interval analysis; robustness; redundancy; Earthquake input energy; double impulse; critical excitation method; Energy transfer function; Upper bound of input energy; Earthquake Response; Critical response; Elastic-plastic response; Ductility factor; Near-fault ground motion; fling-step input; forward-directivity input; triple impulse; Long-duration ground motion; resonance; Multiple impulse

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2016

ردمك: 9782889197422

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

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