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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
| Artificial Intelligence for Smart and Sustainable Energy Systems and Applications |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (258 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ambient assisted living
artificial intelligence artificial neural network artificial neural networks CNN computational intelligence conditional random fields decision tree deep learning demand response demand side management distributed genetic algorithm drill-in fluid ELR energy energy disaggregation energy efficient coverage energy management ERELM Faster R-CNN feature extraction forecasting genetic algorithm home energy management home energy management systems insulator internet of things Jetson TX2 load load disaggregation LR LSTM machine learning Marsh funnel MCP39F511 mud rheology multiple kernel learning NILM non-intrusive load monitoring nonintrusive load monitoring object detection optimization algorithms plastic viscosity policy making price RELM RPN sandstone reservoirs scheduling self-adaptive differential evolution algorithm sensor network smart cities smart city smart grid smart grids smart metering smart villages static young's modulus support vector machine sustainable development transient signature wireless sensor networks yield point |
| ISBN | 3-03928-890-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404078103321 |
Lytras Miltiadis
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Internet of Things and Artificial Intelligence in Transportation Revolution
| Internet of Things and Artificial Intelligence in Transportation Revolution |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (232 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
artificial neural networks
at-risk driving authentication automatic license plate recognition autonomous navigation autonomous path planning collision avoidance connected vehicle convolutional neural networks crowdsourcing data fusion DDPG decision-making deep learning deep reinforcement learning deep support vector machine driver drowsiness driver stress end-to-end histogram of oriented gradients hybrid dynamic system indoor localization Inertial Measurement Unit (IMU) Inertial Measurement Units intelligent transportation systems intelligent vehicle access internet of things maritime autonomous surface ships maritime vessel flows multi-objective genetic algorithm multiple kernel learning n/a road anomalies road transportation scene division security speed guidance state transition time-frequency traffic signal control unknown inputs observer unmanned ships urban freeway vehicle arrival time vehicle density |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557134703321 |
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Lytras Miltiadis
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||