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Record Nr. |
UNINA9910743341103321 |
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Titolo |
Artificial Intelligence in China : Proceedings of the 3rd International Conference on Artificial Intelligence in China / / edited by Qilian Liang, Wei Wang, Jiasong Mu, Xin Liu, Zhenyu Na |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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981-16-9423-0 |
981-16-9422-2 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (728 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 854 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Telecommunication |
Electronic circuits |
Signal processing |
Database management |
Artificial Intelligence |
Communications Engineering, Networks |
Electronic Circuits and Systems |
Digital and Analog Signal Processing |
Database Management System |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Deep Learning and Neural Networks -- Machine Learning -- Computer Vision -- Knowledge Representation and Reasoning -- Probabilistic Reasoning -- Statistical Learning -- Reinforcement Learning -- Decision Making -- Fuzzy Systems -- Evolutionary Computing -- Inference and Prediction -- Human-Inspired Learning and Computing -- Autonomous Vehicle -- Data Mining -- Spoken Language Processing -- Pattern Analysis and Recognition -- Robotics -- AI for Sensing -- AI for Communications -- AI for Internet of Things -- AI for Signal Processing -- AI for Education -- AI for Healthcare -- AI for Other Applications. |
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Sommario/riassunto |
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This book brings together papers presented at the 3rd International |
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Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE, etc). |
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