Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2026, Volume 2 (Lecture Notes in Networks and Systems, 1956)
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Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2026, Volume 2 (Lecture Notes in Networks and Systems, 1956)
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Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2026, Volume 2
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Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2026, Volume 2 (Lecture Notes in Networks and Systems, 1956)
Overall Rating: 2.4 / 5 (average from multiple review sources, as of 8 Jun 2026)
Based on a total of 46,634 customer reviews from independent review platforms.
Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.
All brand names and logos are the property of their respective owners.
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pricehunter.co.uk cannot guarantee that published shop ratings originate from consumers who have actually made a purchase from the reviewed retailer.
Based on a total of 46,634 customer reviews from independent review platforms.
Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.
All brand names and logos are the property of their respective owners.
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This title will be released on August 14, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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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.
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