Creativity in Intelligent Technologies and Data Science
4th International Conference, CIT&DS 2021, Volgograd, Russia, September 20-23, 2021, Proceedings
Herausgegeben: Kravets, Alla G.; Shcherbakov, Maxim; Parygin, Danila; Groumpos, Peter P.
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This book constitutes the proceedings of the 4th Conference on Creativity in Intellectual Technologies and Data Science, CIT&DS 2021, held in Volgograd, Russia, in September 2021.The 39 full papers, 7 short papers, and 2 keynote papers presented were carefully reviewed and selected from 182 submissions. The papers are organized in the following topical sections: Artificial intelligence and deep learning technologies: knowledge discovery in patent and open sources; open science semantic technologies; IoT and computer vision in knowledge-based control; Cyber-physical systems and big data-driven ...
This book constitutes the proceedings of the 4th Conference on Creativity in Intellectual Technologies and Data Science, CIT&DS 2021, held in Volgograd, Russia, in September 2021.
The 39 full papers, 7 short papers, and 2 keynote papers presented were carefully reviewed and selected from 182 submissions. The papers are organized in the following topical sections: Artificial intelligence and deep learning technologies: knowledge discovery in patent and open sources; open science semantic technologies; IoT and computer vision in knowledge-based control; Cyber-physical systems and big data-driven control: pro-active modeling in intelligent decision making support; design creativity in CASE/CAI/CAD/PDM; intelligent technologies in urban design and computing; Intelligent technologies in social engineering: data science in social networks analysis and cyber security; educational creativity and game-based learning; intelligent assistive technologies: software design and application.
The 39 full papers, 7 short papers, and 2 keynote papers presented were carefully reviewed and selected from 182 submissions. The papers are organized in the following topical sections: Artificial intelligence and deep learning technologies: knowledge discovery in patent and open sources; open science semantic technologies; IoT and computer vision in knowledge-based control; Cyber-physical systems and big data-driven control: pro-active modeling in intelligent decision making support; design creativity in CASE/CAI/CAD/PDM; intelligent technologies in urban design and computing; Intelligent technologies in social engineering: data science in social networks analysis and cyber security; educational creativity and game-based learning; intelligent assistive technologies: software design and application.
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