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Trends in sustainable computing and machine intelligence = proceedings of ICTSM 2024 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Trends in sustainable computing and machine intelligence/ edited by Surekha Lanka, Antonio Sarasa Cabezuelo, Chandrasekar Vuppalapati.
Reminder of title:	proceedings of ICTSM 2024 /
remainder title:	ICTSM 2024
other author:	Lanka, Surekha.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xiii, 510 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-1452-3
ISBN:	9789819614523

Trends in sustainable computing and machine intelligence = proceedings of ICTSM 2024 /
Trends in sustainable computing and machine intelligenceproceedings of ICTSM 2024 /[electronic resource] :ICTSM 2024edited by Surekha Lanka, Antonio Sarasa Cabezuelo, Chandrasekar Vuppalapati. - Singapore :Springer Nature Singapore :2025. - xiii, 510 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2024) organized by Stamford International University, Bangkok, Thailand, during September 12-13, 2024. The book includes original research by researchers working in the field of machine learning. The book covers important topics like decision support systems, neural networks and applications, machine learning, natural language processing, automated problem solving, AI and evolutionary algorithms, intelligent information systems, computational intelligence, computer vision and image processing, cognitive and biologically inspired vision, soft computing and applications, hybrid intelligent systems, distributed computing, pattern recognition and analysis, ubiquitous and high-performance computing, security, trust and privacy, big data for sustainable computing, and energy-aware machine learning.

ISBN: 9789819614523

Standard No.: 10.1007/978-981-96-1452-3doiSubjects--Topical Terms:

574552
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I58 2024

Dewey Class. No.: 006.31

Trends in sustainable computing and machine intelligence = proceedings of ICTSM 2024 /
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