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Titlebook: Creativity in Intelligent Technologies and Data Science; 4th International Co Alla G. Kravets,Maxim Shcherbakov,Peter P. Groumpo Conference

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發(fā)表于 2025-3-21 19:58:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Creativity in Intelligent Technologies and Data Science
副標題4th International Co
編輯Alla G. Kravets,Maxim Shcherbakov,Peter P. Groumpo
視頻videohttp://file.papertrans.cn/240/239589/239589.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Creativity in Intelligent Technologies and Data Science; 4th International Co Alla G. Kravets,Maxim Shcherbakov,Peter P. Groumpo Conference
描述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..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; computer vision; cryptography; data communication systems; databases; image proc
版次1
doihttps://doi.org/10.1007/978-3-030-87034-8
isbn_softcover978-3-030-87033-1
isbn_ebook978-3-030-87034-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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H. Flaschka,A. C. Newell,M. Taborfor thematic classification of the patent array, and the selection of their optimal values are carried out. An optimal configuration of a recurrent neural network has been obtained, which has improved the results of the developed software.
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,Die cervicalen Bandscheibensch?den,ational experiment. The construction of an integrated Internet of Things system is considered in the form of building a new option from among the promising ones. In this case, the implementation efficiency is achieved through the use of genetic algorithms.
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,Die cervicalen Bandscheibensch?den,llows reducing the number of membership functions and the number of fuzzy inference rules during the synthesis of the IPD-FUZZY-controller and ensuring effective and robust control of the object functioning in unforeseen external situations. A hybrid model proved the effectiveness of the proposed method before and after fuzzy clustering.
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Development of a Method for Intellectual Support of Inventive Activity Based on Deep Machine Learninfor thematic classification of the patent array, and the selection of their optimal values are carried out. An optimal configuration of a recurrent neural network has been obtained, which has improved the results of the developed software.
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1865-0929 n 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 discover
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