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Adaptive intelligenceselect proceedings of InCITe 2024.Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Adaptive intelligenceedited by Nitasha Hasteer ... [et al.].
其他題名:	select proceedings of InCITe 2024.
其他作者:	Hasteer, Nitasha.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xv, 580 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence
電子資源:	https://doi.org/10.1007/978-981-97-9045-6
ISBN:	9789819790456$q(electronic bk.)

Adaptive intelligenceselect proceedings of InCITe 2024.Volume 1 /
Adaptive intelligenceselect proceedings of InCITe 2024.Volume 1 /[electronic resource] :edited by Nitasha Hasteer ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xv, 580 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 12801876-1119 ;. - Lecture notes in electrical engineering ;v.132..

Computational Intelligence: Theoretical Foundation -- Computational Intelligence & Knowledge Discovery -- Computational Intelligence & Data Science -- Computational Intelligence for Information Security -- Computational Intelligence & IoT enabling Architectures -- Computational Intelligence & its applications -- Computational Paradigms.

This book comprises the select peer-reviewed proceedings of the 4th International Conference on Information Technology (InCITe-2024). It aims to provide a comprehensive knowledge base encompassing state-of-the-art research and development in adaptive intelligence, decision intelligence, artificial intelligence, deep learning, machine learning, data science, and enabling technologies for IoT, blockchain, and other futuristic technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, social networks, and intelligence, decision-making, and modeling, information systems, IT architectures, and security related aspects. This book provides a valuable resource for those in academia and industry.

ISBN: 9789819790456$q(electronic bk.)

Standard No.: 10.1007/978-981-97-9045-6doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

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