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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (376 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference system (ANFIS)
ANFIS ANN ANN-based models artificial intelligence artificial neural network artificial neural networks backtracking search optimization algorithm (BSA) bat algorithm bees algorithm big data classification and regression trees (CART) convolutional neural networks cultural algorithm data assimilation data forward prediction data scarce basins data science database decision tree deep learning disasters Dongting Lake early flood warning systems empirical wavelet transform ensemble empirical mode decomposition (EEMD) ensemble machine learning ensemble technique extreme event management extreme learning machine (ELM) flash-flood flood events flood forecast flood forecasting flood inundation map flood prediction flood routing flood susceptibility modeling forecasting Google Maps Haraz watershed high-resolution remote-sensing images hybrid & hybrid neural network hydrograph predictions hydroinformatics hydrologic model hydrologic models hydrometeorology improved bat algorithm invasive weed optimization Karahan flood lag analysis Lower Yellow River LSTM LSTM network machine learning machine learning methods method of tracking energy differences (MTED) micro-model monthly streamflow forecasting Muskingum model natural hazards & nonlinear Muskingum model optimization parameters particle filter algorithm particle swarm optimization phase space reconstruction postprocessing precipitation-runoff rainfall-runoff random forest rating curve method real-time recurrent nonlinear autoregressive with exogenous inputs (RNARX) runoff series self-organizing map self-organizing map (SOM) sensitivity soft computing St. Venant equations stopping criteria streamflow predictions superpixel support vector machine survey the Three Gorges Dam the upper Yangtze River time series prediction uncertainty urban water bodies water level forecast Wilson flood wolf pack algorithm |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Processing on Image and Optical Information
| Intelligent Processing on Image and Optical Information |
| Autore | Yeom Seokwon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (324 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ADAM
adaptive mean-shift autofocus background-oriented schlieren biomedical imaging block compressed sensing bone fracture boundary point calcaneus change detection classifier cluster validity index clustering algorithm clustering evaluation continuous casting slabs convolutional neural network CT image database augmentation deep learning deep neural network defect detection digital image correlation discrete non-separable shearlet transform dominant spectral wavelength Dongting Lake ego-motion estimation error resilience extraction face registration facial image feature extraction feature selection fermentation monitoring Gabor filter GAN (Generative adversarial networks) generation generative models gray-level co-occurrence matrix hand-eye calibration healthy and infected lemons heat waves Hermite high-temperature measurement hybrid ant lion optimizer Hyperspectral image image completion image fusion image interpolation image processing image up-scaling IMU inner-distance interior point kernel spectral regression lemon skin lidar odometry machine learning microscopy image analysis microscopy image processing multi-sensor n/a night vision goggles NSCT numerical optimization optical sensor parameter optimization Penicillium digitatum pathogen process automation quality inspection radiographic image reconstruction segmentation sensor fusion sparse and low-rank matrix decomposition spectral intensity ratio stochastic gradient methods structure similarity Student's-t Mixtures Model superellipsoid model fitting surface defect classification synthesis tensor decomposition models texture classification thermal disturbance variogram function wildlife monitoring image wireless multimedia sensor networks zebrafish egg zebrafish larva |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557104903321 |
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Yeom Seokwon
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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