Overview
- Includes peer reviewed articles from the 4th International Conference on Data Science and Machine Learning 2022
- Discusses the applications of new emerging technologies for professionals and researchers alike
- Highlights recent advances in artificial intelligence, machine learning, soft computing
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 1038)
Included in the following conference series:
Conference proceedings info: ICDSMLA 2022.
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Table of contents (39 papers)
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Front Matter
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Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications
Keywords
About this book
Editors and Affiliations
About the editors
Dr. Amit Kumar is a DNA Forensics Professional, Entrepreneur, Engineer, Bioinformatician and an IEEE Volunteer. In 2005 he founded the first Private DNA Testing Company Bio Axis DNA Research Centre (P) Ltd in Hyderabad, India with an US Collaborator. He has vast experience of training 1000+ Crime investigation officers and helped 750+ Criminal and non-criminal cases to reach justice by offering analytical services in his laboratory. His group also works extensively on Genetic Predisposition risk studies of cancers and has been helping many cancer patients from 2012 to fight and win the battle against cancer. Amit was member of IEEE Strategy Development and Environmental Assessment committee (SDEA) of IEEE MGA. He is senior member of IEEE and has been a very active IEEE Volunteer at Section, Council, Region, Technical Societies of Computational Intelligence and Engineering in Medicine and Biology and at IEEE MGA levels in several capacities. He has driven a number of IEEEConferences, Conference leadership programs, Entrepreneurship development workshops, Innovation and Internship related events.
Dr. Vinit Kumar Gunjan is an Associate Professor in the Department of Computer Science & Engineering and Dean of Academic affairs at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad). He is a Senior Member of IEEE, An active Volunteer of IEEE Hyderabad section; 2021 additional secretary; 2021 Vice Chairman - IEEE Computational Intelligence Society; volunteered in the capacity of Treasurer, Secretary & Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. He was awarded with the outstanding IEEE Young Professional award in 2017 by IEEE Hyderabad Section.
Prof. Yu-Chen Hu received his Ph.D. in computer science and information engineering from the Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan. He is currently a Professor with the Department of Computer Science and Information Management, Providence University, Sha-Lu, Taiwan. His research interests include image and signal processing, data compression, information hiding, and data engineering. He is a member of ACM.
Prof. Sabrina Senatore received her M.S. and Ph.D. degrees in computer science from the University of Salerno, Fisciano, Italy. Since 2005, she has been a Faculty Member with the University of Salerno, where she is currently a Full Professor of Computer Science. Her current research interests include the development and application of intelligent systems based on the combination of techniques from soft computing, computational intelligence, text mining, information retrieval, semantic Web, and intelligent agents. She is the Chair of IEEE CIS Task Force on Intelligent Agents and a member of the IEEE CIS Intelligence Society Task Force: Fuzzy Systems for Web Intelligence.
Bibliographic Information
Book Title: Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications
Book Subtitle: ICDSMLA 2022, 26–27 December, Hyderabad, India
Editors: Amit Kumar, Vinit Kumar Gunjan, Yu-Chen Hu, Sabrina Senatore
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-99-2058-7
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-99-2057-0Published: 16 August 2023
Softcover ISBN: 978-981-99-2060-0Due: 16 September 2023
eBook ISBN: 978-981-99-2058-7Published: 15 August 2023
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: VIII, 441
Number of Illustrations: 65 b/w illustrations, 189 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, IT in Business, Mathematical Models of Cognitive Processes and Neural Networks, Cyber-physical systems, IoT, Professional Computing