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Titlebook: Computational Intelligence in Communications and Business Analytics; 5th International Co Kousik Dasgupta,Somnath Mukhopadhyay,Paramartha D

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發(fā)表于 2025-3-21 16:24:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Computational Intelligence in Communications and Business Analytics
副標(biāo)題5th International Co
編輯Kousik Dasgupta,Somnath Mukhopadhyay,Paramartha Du
視頻videohttp://file.papertrans.cn/233/232473/232473.mp4
叢書(shū)名稱Communications in Computer and Information Science
圖書(shū)封面Titlebook: Computational Intelligence in Communications and Business Analytics; 5th International Co Kousik Dasgupta,Somnath Mukhopadhyay,Paramartha D
描述This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27–28, 2023..The 52 full papers presented in this volume were carefully reviewed and selected from?187?submissions. The papers present recent research on intersection of computational intelligence, communications, and business analytics, fostering international collaboration and the dissemination of cutting-edge research..
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; communication systems; computer networks; computer science; computer security; c
版次1
doihttps://doi.org/10.1007/978-3-031-48879-5
isbn_softcover978-3-031-48878-8
isbn_ebook978-3-031-48879-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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1865-0929 viewed and selected from?187?submissions. The papers present recent research on intersection of computational intelligence, communications, and business analytics, fostering international collaboration and the dissemination of cutting-edge research..978-3-031-48878-8978-3-031-48879-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
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https://doi.org/10.1007/978-3-8350-5427-1h, generalized Petersen graphs, . grid graph, Desargues graph, Windmill graphs etc. In this article, we have presented that there does not exist any spanning cactus when the considered graph is a Flower Snark Graph.
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https://doi.org/10.1007/978-981-15-9430-4e in the image pixels. It captures the boundary present in some images, so edges are the most suitable place to hide the data in an image. In this paper, we will do some qualitative and quantitative analysis of various edge-based steganography methods, and we will compare this with the existing steganography methods available.
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