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Titlebook: Soft Computing and Its Engineering Applications; 4th International Co Kanubhai K. Patel,K. C. Santosh,Ashish Ghosh Conference proceedings 2

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書目名稱Soft Computing and Its Engineering Applications
副標(biāo)題4th International Co
編輯Kanubhai K. Patel,K. C. Santosh,Ashish Ghosh
視頻videohttp://file.papertrans.cn/871/870446/870446.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Soft Computing and Its Engineering Applications; 4th International Co Kanubhai K. Patel,K. C. Santosh,Ashish Ghosh Conference proceedings 2
描述This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2022, held in Changa, Anand, India during December 9–10, 2022.?.The 33 full papers and 3 short papers included in this book were carefully reviewed and selected from 342 submissions. They were organized in topical sections as follows: Theory and Methods; Systems and Applications; and Hybrid Techniques..
出版日期Conference proceedings 2023
關(guān)鍵詞information networks; artificial intelligence; information retrieval; software engineering; data mining;
版次1
doihttps://doi.org/10.1007/978-3-031-27609-5
isbn_softcover978-3-031-27608-8
isbn_ebook978-3-031-27609-5Series 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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RIN: Towards a?Semantic Rigorous Interpretable Artificial Immune System for?Intrusion Detectionn detection approach, based on formal logic calculations. Details of rigorous interpretation calculation process for a decision tree model is presented. . explanation for benign traffic flow are given in detail as rule for negative selection of the cyber immune system. Experiments are carried out in real-life traffic.
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One True Pairing: Evaluating Effective Language Pairings for?Fake News Detection Employing Zero-Shots automated means for fake news detection be employed to combat the scourge. The improvements demonstrated by cross-lingual language models such as XLM-RoBERTa (XLM-R) and Multilingual BERT (mBERT) in cross-lingual understanding provide an opportunity to develop language-independent models, utilizin
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On Language Clustering: Non-parametric Statistical Approach With this in mind, the purpose of this study is to present statistical approaches that may be employed in non-parametric non-homogeneous data frameworks, as well as to examine their application in the field of natural language processing and language clustering. Furthermore, this paper discusses th
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