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Intelligent systemsproceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023) /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent systemsedited by Siba K. Udgata, Srinivas Sethi, Xiao-Zhi Gao.
Reminder of title:	proceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023) /
remainder title:	ICMIB 2023
other author:	Udgata, Siba K.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xix, 619 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-981-99-3932-9
ISBN:	9789819939329$q(electronic bk.)

Intelligent systemsproceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023) /
Intelligent systemsproceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023) /[electronic resource] :ICMIB 2023edited by Siba K. Udgata, Srinivas Sethi, Xiao-Zhi Gao. - Singapore :Springer Nature Singapore :2024. - xix, 619 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,v. 7282367-3389 ;. - Lecture notes in networks and systems ;v.1..

This book features best selected research papers presented at the Third International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2023) held at Indira Gandhi Institute of Technology, Sarang, India, during March 10-12, 2023. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human-computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in health care, sensor networks and social sensing, and statistical analysis of search techniques.

ISBN: 9789819939329$q(electronic bk.)

Standard No.: 10.1007/978-981-99-3932-9doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Intelligent systemsproceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023) /
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