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220104 ||| eng |
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|a 9783030923075
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| 100 |
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|a Mantoro, Teddy
|e [editor]
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| 245 |
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|a Neural Information Processing
|h Elektronische Ressource
|b 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part V
|c edited by Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto
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| 250 |
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|a 1st ed. 2021
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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| 300 |
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|a XXVIII, 778 p. 29 illus
|b online resource
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| 653 |
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|a Education / Data processing
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| 653 |
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|a Computer Application in Social and Behavioral Sciences
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Social sciences / Data processing
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| 653 |
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|a Database Management
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| 653 |
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|a Computers and Education
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| 653 |
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|a Application software
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Computer and Information Systems Applications
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| 653 |
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|a Automated Pattern Recognition
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| 653 |
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|a Database management
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| 653 |
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|a Pattern recognition systems
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| 700 |
1 |
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|a Lee, Minho
|e [editor]
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| 700 |
1 |
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|a Ayu, Media Anugerah
|e [editor]
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| 700 |
1 |
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|a Wong, Kok Wai
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Communications in Computer and Information Science
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| 028 |
5 |
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|a 10.1007/978-3-030-92307-5
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-030-92307-5?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.4
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| 520 |
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|a The two-volume set CCIS 1516 and 1517 constitutes thoroughly refereed short papers presented at the 28th International Conference on Neural Information Processing, ICONIP 2021, held in Sanur, Bali, Indonesia, in December 2021.* The volume also presents papers from the workshop on Artificial Intelligence and Cyber Security, held during the ICONIP 2021. The 176 short and workshop papers presented in this volume were carefully reviewed and selected for publication out of 1093 submissions. The papers are organized in topical sections as follows: theory and algorithms; AI and cybersecurity; cognitive neurosciences; human centred computing; advances in deep and shallow machine learning algorithms for biomedical data and imaging; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; applications. * The conference was held virtually due to the COVID-19 pandemic
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