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Computational Optimizations for Machine Learning
| Computational Optimizations for Machine Learning |
| Autore | Gabbay Freddy |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
ARIMA model
time series analysis online optimization online model selection precipitation nowcasting deep learning autoencoders radar data generalization error recurrent neural networks machine learning model predictive control nonlinear systems neural networks low power quantization CNN architecture multi-objective optimization genetic algorithms evolutionary computation swarm intelligence Heating, Ventilation and Air Conditioning (HVAC) metaheuristics search bio-inspired algorithms smart building soft computing training evolution of weights artificial intelligence deep neural networks convolutional neural network deep compression DNN ReLU floating-point numbers hardware acceleration energy dissipation FLOW-3D hydraulic jumps bed roughness sensitivity analysis feature selection evolutionary algorithms nature inspired algorithms meta-heuristic optimization computational intelligence |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557610303321 |
Gabbay Freddy
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Research on Hydraulics and River Dynamics
| Research on Hydraulics and River Dynamics |
| Autore | Hrissanthou Vlassios |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (186 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
bed roughness
open-channel flow OpenFOAM Reynolds-averaged Navier-Stokes model turbulence model two-dimensional dune 60° bend bed shear stress turbulent kinetic energy Reynolds shear stress log-law continuous bend transition section correlation of flow movement width/depth ratio circulation structure circulation intensity numerical simulation local scour spur dike angle of repose river sediment transport modeling alluvial channels hydraulic riverbed resistance mathematical modeling van Rijn sediment transport formula local scouring bridge pile group material harvesting pit hydrodynamic bridge pier flow pattern FLOW-3D bed load transport random forests Gaussian processes regression Meyer-Peter and Müller formula sediment transport incision meandering bedrock curved channel bed configurations annular flume cover lid rotation speed developing flow fully-developed flow Reynolds stress anisotropy tensor seepage flow turbulence intensity |
| ISBN | 3-0365-5598-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639988803321 |
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Hrissanthou Vlassios
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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