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Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making
| Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (278 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
air quality
anomalies artificial intelligence Artificial intelligence artificial neural network assembly clearance barnett shale clustering CO2 flooding data envelopment analysis data mining decision making decision-making system deep learning devonian shale diesel engine quality dimension reduction elastic parameters empirical correlations face recognition fishbone multilateral wells histogram of oriented gradients Hybrid clustering international research Internet of things knowledge map visualization location prediction Long Short Term Memory (LSTM) LSTM machine learning minimum miscibility pressure (MMP) mixed integer linear programming most-matching Multi-hop routing multivariate n/a Network lifetime neural networks new models performance Poisson's ratio policy documents quantification policy keyword predictive models real-time regular patterns research hotspot rheological properties rough set sandstone sandstone formations security self-adaptive differential evolution smart cities smart tourism spatiotemporal speech output correction speech recognition spoofing static Young's modulus system total organic carbon trajectories visual analytics water-based drill-in fluid well productivity Wireless nodes |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Artificial Intelligence and Cognitive Computing |
| Record Nr. | UNINA-9910557356503321 |
Lytras Miltiadis
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| 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 | ||
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