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 | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Social Data and Artificial Intelligence 2019
| Recent Advances in Social Data and Artificial Intelligence 2019 |
| Autore | Srivastava Hari Mohan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (498 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
ABMS
advanced multicomponential discretization models artificial intelligence asymmetry automatic speech recognition behavior analysis blockchain breakpoint test business centrality metric client/server cloud computing color revolution operator combinatorial optimization problem community detection complex networks context-aware contingencies crude oil price cryptography cybernetics data acquisition data management data processing data science data-discretization methods data-mining techniques DBLP platform decision tree deep factorization deep reinforcement learning detection technology digital services digital teacher training digitalization electronic health records Facebook advertising post fashion recommendation feature selection feature-selection methods geometric analysis graph visualisation gravitational degree gravity model greedy strategy H-index Hadoop health information management healthcare data heuristics method hierarchical information ice-snow tourism ICT infrastructure imperialist competitive algorithm industry data applications innovation keyphrase extraction label propagation algorithm lidar scanning signal linear kernel lossless signal transmission machine learning markov switching micro-distortion modularity increment multi-channel weighted fusion loss multi-layer neural network multilayer network multiple granularity features natural language processing nature-inspired algorithm NP-hard problem overlapping community discovery pancreatic cancer partial key exposure attack person re-identification plant root polynomial kernel post engagement predictive analytics preference analysis privacy Python quality of service RBF kernel recommendation system replace face-to-face education robust partial least squares path modeling RSA cryptanalysis RSA cryptosystem security service composition service time-cost Siamese Multiple Granularity Network social behavior social data science social media marketing social network social network simulation social networking satisfaction social networks Spark speech corpus stock market structural change sustainable development symmetrical designing tag information TCD1209DG technology acceptance tele-education telemedicine temporal links prediction text corpus text mining topic model twin support vector machine two expansions two-tier partition algorithm unsupervised method visual analytics visual style weighted non-negative matrix factorization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585943903321 |
Srivastava Hari Mohan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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