Code: 51535043
Advances in Distributed Computing and Machine Learning
by Alekha Kumar Mishra, Asis Kumar Tripathy, Jyoti Prakash Sahoo, Jitesh Pradhan, Kuan-Ching Li
This book is a collection of peer-reviewed best-selected research papers presented at the Seventh International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2026), organized by Department of Comput ... more
- Language:
English - Binding: Paperback
- Number of pages: 338
Publisher: Springer, Berlin, 2026
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Book synopsis
This book is a collection of peer-reviewed best-selected research papers presented at the Seventh International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2026), organized by Department of Computer Science and Engineering, National Institute of Technology, Jamshedpur, India, during January 15-16, 2026. 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.
Book details
284.03 €
- Full title: Advances in Distributed Computing and Machine Learning
- Subtitle: Proceedings of ICADCML 2026, Volume 1
- Author: Alekha Kumar Mishra, Asis Kumar Tripathy, Jyoti Prakash Sahoo, Jitesh Pradhan, Kuan-Ching Li
- Language: English
- Binding: Paperback
- Number of pages: 338
- EAN: 9783032250797
- ID: 51535043
- Publisher: Springer, Berlin
- Weight: 558 g
- Dimensions: 235 × 155 mm
- Date of publishing: 27. July 2026
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