Data Driven Approach Towards Disruptive Technologies: Proceedings of MIDAS 2020

This book compiles peer-reviewed papers from the International Conference on Machine Intelligence and Data Science Applications, focusing on algorithmic aspects and interdisciplinary applications in fields like IoT, bioinformatics, network security, and autonomous computing.

Format: Paperback / softback
Length: 597 pages
Publication date: 07 April 2022
Publisher: Springer Verlag, Singapore

This comprehensive volume presents a collection of peer-reviewed papers that were presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, from September 4 to 5, 2020. The book delves into the algorithmic aspect of machine intelligence, encompassing the framework and optimization of various states of algorithms. It encompasses a wide range of papers covering diverse applications in fields such as data-driven industrial IoT, bioinformatics, network and security, autonomous computing, and various other aligned areas. The book concludes with interdisciplinary applications in domains like legal, healthcare, smart society, cyber-physical systems, and smart agriculture. Each paper in this volume has undergone meticulous review, ensuring its quality and relevance. This book appeals to computer science engineers, lecturers/researchers in the field of machine intelligence, and engineering graduates who are interested in advancing their knowledge and understanding of these cutting-edge technologies.

Weight: 926g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811598753
Edition number: 1st ed. 2021