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Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2025, Volume 1 / edited by Binayak Kar, Asis Kumar Tripathy, Wei-Chung Teng, Jyoti Prakash Sahoo, Mohammad S. Obaidat.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Author/Creator:
Kar, Binayak.
Contributor:
Tripathy, Asis Kumar.
Deng, Weizhong.
Sahoo, Jyoti Prakash.
Obaidat, Mohammad S.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1406
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Machine learning.
Cooperating objects (Computer systems).
Computational Intelligence.
Artificial Intelligence.
Machine Learning.
Cyber-Physical Systems.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Machine Learning.
Cyber-Physical Systems.
Physical Description:
1 online resource (254 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book is a collection of peer-reviewed best selected research papers presented at the Sixth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2025), organized by Dept. of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taiwan during January 9–10, 2025. 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. The work is presented in two volumes.
ISBN:
981-9667-21-6
OCLC:
1544970835

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