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Intelligent computing techniques for smart energy systemsproceedings of ICTSES 2023.Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent computing techniques for smart energy systemsedited by Anshuman Tripathi ... [et al.].
Reminder of title:	proceedings of ICTSES 2023.
remainder title:	ICTSES 2023
other author:	Tripathi, Anshuman.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xiii, 317 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electrical engineeringCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-981-97-8464-6
ISBN:	9789819784646$q(electronic bk.)

Intelligent computing techniques for smart energy systemsproceedings of ICTSES 2023.Volume 1 /
Intelligent computing techniques for smart energy systemsproceedings of ICTSES 2023.Volume 1 /[electronic resource] :ICTSES 2023edited by Anshuman Tripathi ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiii, 317 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 12761876-1119 ;. - Lecture notes in electrical engineering ;v.132..

This book compiles the best selected research papers presented during the 3rd International Conference on Intelligent Computing Techniques for Smart Energy Systems (ICTSES 2023), held at Manipal University, Jaipur, Rajasthan, India. It presents the diligent work of the research community where intelligent computing techniques are applied in allied fields of engineering ranging from engineering materials to electrical engineering to electronics and communication engineering- to computer-related fields. The theoretical research concepts are supported with extensive reviews highlighting the trends in the possible and real-life applications of computational intelligence. The high-quality content with a broad range of topics is thoroughly peer-reviewed and published on suitable recommendations.

ISBN: 9789819784646$q(electronic bk.)

Standard No.: 10.1007/978-981-97-8464-6doiSubjects--Topical Terms:

470611
Electrical engineering
--Data processing--Congresses.

LC Class. No.: TK5

Dewey Class. No.: 621.3028563

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