Advances in Distributed Computing and Machine Learning Proceedings of ICADCML 2024, Volume 1 / edited by Umakanta Nanda, Asis Kumar Tripathy, Jyoti Prakash Sahoo, Mahasweta Sarkar, Kuan-Ching Li.

Advances in Distributed Computing and Machine Learning Proceedings of ICADCML 2024, Volume 1 /

This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by the School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, I...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Nanda, Umakanta (Editor), Tripathy, Asis Kumar (Editor), Sahoo, Jyoti Prakash (Editor), Sarkar, Mahasweta (Editor), Li, Kuan-Ching (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Lecture Notes in Networks and Systems, 955
Subjects:
Computational intelligence.
Artificial intelligence.
Machine learning.
Blockchains (Databases).
Internet of things.
Online Access: Full text (Wentworth users only)
Description
Summary:This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by the School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, India, during January 5–6, 2024. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.
Physical Description:XIX, 479 p. 187 illus., 162 illus. in color. online resource.
ISBN:9789819718412
ISSN:2367-3389 ;
DOI:10.1007/978-981-97-1841-2

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