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Advances in Distributed Computing and Machine Learning

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Advances in Distributed Computing and Machine Learning Synopsis

This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.      

About This Edition

ISBN: 9789811648090
Publication date:
Author: Jyoti Prakash Sahoo
Publisher: Springer Verlag, Singapore
Format: Paperback
Pagination: 513 pages
Series: Lecture Notes in Networks and Systems
Genres: Artificial intelligence
Machine learning
Applied computing
Electrical engineering
Cybernetics and systems theory