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Computational intelligence in machine learningproceedings of the 3rd International Conference ICCIML 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence in machine learningedited by Vinit Kumar Gunjan ... [et al.].
Reminder of title:	proceedings of the 3rd International Conference ICCIML 2023 /
remainder title:	ICCIML 2023
other author:	Gunjan, Vinit Kumar.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xiv, 586 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computational intelligenceCongresses.
Online resource:	https://doi.org/10.1007/978-981-96-4391-2
ISBN:	9789819643912$q(electronic bk.)

Computational intelligence in machine learningproceedings of the 3rd International Conference ICCIML 2023 /
Computational intelligence in machine learningproceedings of the 3rd International Conference ICCIML 2023 /[electronic resource] :ICCIML 2023edited by Vinit Kumar Gunjan ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiv, 586 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in electrical engineering,v. 14001876-1119 ;. - Lecture notes in electrical engineering ;v.132..

This book features selected proceedings from the International Conference on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various fields, including machine learning, smart cities, the Internet of Things (IoT), artificial intelligence, cyber-physical systems, cybernetics, data science, neural networks, and cognition, among others. The book also emphasizes the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, optimization, prediction, forecasting, and controlling future intelligent systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application perspectives, enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.

ISBN: 9789819643912$q(electronic bk.)

Standard No.: 10.1007/978-981-96-4391-2doiSubjects--Topical Terms:

384502
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational intelligence in machine learningproceedings of the 3rd International Conference ICCIML 2023 /
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