Collaborative Technologies and Data Science in Artificial Intelligence Applications
In September 2020, researchers from Armenia, Chile, Germany and Japan met at the American University of Armenia for a virtual conference to discuss technologies with applications in smart cities, data science and information theory approaches for intelligent systems, technical challenges for intelli...
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| Other Authors: | , , , |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Berlin/Germany
Logos Verlag Berlin
2020
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 245 | 1 | 0 | |a Collaborative Technologies and Data Science in Artificial Intelligence Applications |
| 260 | |a Berlin/Germany |b Logos Verlag Berlin |c 2020 | ||
| 300 | |a 1 electronic resource (200 p.) | ||
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| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a In September 2020, researchers from Armenia, Chile, Germany and Japan met at the American University of Armenia for a virtual conference to discuss technologies with applications in smart cities, data science and information theory approaches for intelligent systems, technical challenges for intelligent environments, smart human centered computing, artificial neural networks, and deep learning. This book presents their contributions to the 2nd CODASSCA workshop on collaborative technologies and data science in artificial intelligence applications, a highly topical issue in today's computer science. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-sa/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Information technology: general issues |2 bicssc | |
| 653 | |a Data science | ||
| 653 | |a Collaborative technologies | ||
| 653 | |a Artificial neural networks | ||
| 653 | |a Deep learning | ||
| 653 | |a Smart human centered computing | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.logos-verlag.de/ebooks/OA/978-3-8325-5141-4.pdf |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/64403 |7 0 |z DOAB: description of the publication |