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Titlebook: Computational Intelligence in Communications and Business Analytics; 4th International Co Somnath Mukhopadhyay,Sunita Sarkar,Sudipta Roy Co

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發(fā)表于 2025-3-21 16:05:34 | 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4th International Co
編輯Somnath Mukhopadhyay,Sunita Sarkar,Sudipta Roy
視頻videohttp://file.papertrans.cn/233/232474/232474.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; 4th International Co Somnath Mukhopadhyay,Sunita Sarkar,Sudipta Roy Co
描述This book constitutes the refereed proceedings of the 4th International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2022, held in Silchar, India, in January 2022..The 21 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 107 submissions. The papers are organized in topical sections on computational intelligence; computational intelligence in communication;?and computational intelligence in analytics..
出版日期Conference proceedings 2022
關(guān)鍵詞artificial intelligence; communication systems; computer networks; computer science; computer security; c
版次1
doihttps://doi.org/10.1007/978-3-031-10766-5
isbn_softcover978-3-031-10765-8
isbn_ebook978-3-031-10766-5Series 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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Conference proceedings 2022cs, CICBA 2022, held in Silchar, India, in January 2022..The 21 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 107 submissions. The papers are organized in topical sections on computational intelligence; computational intelligence in communication;?and computational intelligence in analytics..
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Strategic Leadership for Turbulent Timesechnique of converting sentences in one natural language into another using a machine, whereas Machine Transliteration is the method of converting words in one language into phonetically identical words in another. When Machine Translation is unable to translate the Out-of-Vocabulary (OOV) words, Na
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Strategic Leadership for Turbulent Timestina. This makes vessel extraction in retinal fundus images extremely important when it comes to detect and diagnosis of any eye relater disorders. It is a challenging feat, especially given the many noises and the diverse structure of the thin vessels. An innovative approach is coined in this artic
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https://doi.org/10.1007/978-3-030-25052-2n Learning (LDL) is a new way to deal with label ambiguity. In LDL, instances are defined through the degree to which it is represented by its labels or classes. In this paper, deep learning using autoencoders has been proposed for a computing this degree of labels. The autoencoder consists two part
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Rebecca L. Thomas,Charlotte Williamsform (IWT). The CRT is applied for embedding watermark information by modifying IWT coefficient. The scheme uses the SHA-512 hash algorithm which encrypts the original watermark bit before embedding. The secret informations are embedded into the IWT coefficients of the LH, HL and HH subbands as calc
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