Flood Forecasting Using Machine Learning Methods |
Autore | Chang Fi-John |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (376 p.) |
Soggetto non controllato |
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 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346688303321 |
Chang Fi-John | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Microwave Imaging and Electromagnetic Inverse Scattering Problems |
Autore | Di Donato Loreto |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (170 p.) |
Soggetto non controllato |
joint sparsity
magnetic resonance imaging near-field measurements rank minimization compressed sensing array diagnosis microwave plasma diagnostics radar-based breast imaging image-based approach contraction integral equation for inversion (CIE-I) nonlinear optimization contrast-source inversion electromagnetic inverse scattering problems nonlinear problem tomography RCS estimation inverse problems discontinuous Galerkin method (DGM) microwave imaging profilometry electrical-property tomography breast imaging antenna array finite-difference methods adjoint inversion methods Bayesian compressive sensing (BCS) orthogonality sampling method inverse scattering linear sampling method breast cancer contrast source inversion (CSI) imaging electromagnetic inverse scattering antenna testing stopping criteria 3D microwave imaging Kolmogorov-Smirnov (K-S) test inverse obstacles problem 5G communication inverse source problem |
ISBN | 3-03921-951-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910674007403321 |
Di Donato Loreto | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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