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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 online resource (276 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
ARIMA model
artificial intelligence autoencoders bed roughness bio-inspired algorithms CNN architecture computational intelligence convolutional neural network deep compression deep learning deep neural networks DNN energy dissipation evolution of weights evolutionary algorithms evolutionary computation feature selection floating-point numbers FLOW-3D generalization error genetic algorithms hardware acceleration Heating, Ventilation and Air Conditioning (HVAC) hydraulic jumps low power machine learning meta-heuristic optimization metaheuristics search model predictive control multi-objective optimization nature inspired algorithms neural networks nonlinear systems online model selection online optimization precipitation nowcasting quantization radar data recurrent neural networks ReLU sensitivity analysis smart building soft computing swarm intelligence time series analysis training |
| 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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