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201208 ||| eng |
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|a 9783030638238
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|a Yang, Haiqin
|e [editor]
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|a Neural Information Processing
|h Elektronische Ressource
|b 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V
|c edited by Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King
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|a 1st ed. 2020
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|a Cham
|b Springer International Publishing
|c 2020, 2020
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|a XXIX, 844 p. 271 illus., 225 illus. in color
|b online resource
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|a Computational Intelligence -- Machine Learning -- Neural Network Models -- Robotics and Control -- Time Series Analysis
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653 |
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|a Artificial Intelligence
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|a Computers
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|a Application software
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|a Computer networks
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|a Computer Engineering and Networks
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|a Artificial intelligence
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|a Computer engineering
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|a Computer and Information Systems Applications
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|a Automated Pattern Recognition
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|a Computing Milieux
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|a Pattern recognition systems
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|a Pasupa, Kitsuchart
|e [editor]
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|a Leung, Andrew Chi-Sing
|e [editor]
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|a Kwok, James T.
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Communications in Computer and Information Science
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|a 10.1007/978-3-030-63823-8
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|u https://doi.org/10.1007/978-3-030-63823-8?nosfx=y
|x Verlag
|3 Volltext
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|a 006.4
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|a The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.* For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The conference was held virtually due to the COVID-19 pandemic
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