Advances in Distributed Computing and Machine Learning Proceedings of ICADCML 2024, Volume 2 / 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 2 /

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 School of Electronics and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India,...

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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, 1015
Subjects:
Computational intelligence.
Artificial intelligence.
Machine learning.
Blockchains (Databases).
Internet of things.
Online Access: https://ezproxywit.flo.org/login?url=https://doi.org/10.1007/978-981-97-3523-5
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 School of Electronics and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India, during 5–6 January 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:XX, 482 p. 240 illus., 216 illus. in color. online resource.
ISBN:9789819735235
ISSN:2367-3389 ;
DOI:10.1007/978-981-97-3523-5

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