Overview
- Presents the latest developments in the area of advanced computing
- Includes studies from academics and industry experts around the globe
- Is useful for students, researchers and professionals in computer sciences, IT, and electronics
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1101)
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Table of contents (48 papers)
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Front Matter
Keywords
About this book
This book includes selected papers from the International Conference on Machine Learning and Information Processing (ICMLIP 2019), held at ISB&M School of Technology, Pune, Maharashtra, India, from December 27 to 28, 2019. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human–computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.
Editors and Affiliations
About the editors
Dr. Debabala Swain is an Associate Professor at the Department of Computer Science, Rama Devi Women's University, Odisha. She completed her B.E. at Biju Patnaik University of Technology (2005), M.Tech. at Berhampur University (2008), and Ph.D. at Utkal University in 2013. Her research interests include high-performance computing by optimizing processor performance and developing novel mobility solutions in wireless local area networks. She has published several papers in international journals and conferences. She is also a reviewer for several journals and conferences.
Dr. Prasant Kumar Pattnaik, Ph.D. (Computer Science), Fellow IETE, Senior Member IEEE is a Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of Research Papers in peer-reviewed International Journals and Conferences. He also published many edited bookvolumes in Springer and IGI Global Publication. His areas of interest include Mobile Computing, Cloud Computing, Cyber Security, Intelligent Systems and Brain Computer Interface. He is one of the Associate Editor of Journal of Intelligent & Fuzzy Systems, IOS Press and Intelligent Systems Book Series Editor of CRC Press, Taylor Francis Group.
Dr. P.K. Gupta is an Associate Professor at the Department of Computer Science and Engineering at Jaypee University of Information Technology (JUIT). He has over 15 years of experience in IT industry and academia. He completed his Ph.D. in Computer Science and Engineering at Jaypee University of information Technology, India, in 2012. He has extensive research experience in Internet of Things, cloud computing, image processing, and pattern recognition and has authored more than thirty research papers in referred journals and international conferences. He has also presented his research at a number of renowned international conferences, including IEEE TENCON-Singapore, IEEE-INDICON-India, ICT Innovations-Macedonia, and WPMC-Japan. He was the recipient of an NRF-KIC South Africa grant in 2015. He is an Associate Editor of IEEE Access, a Guest Editor of Special Issues from Springer, and Inderscience Publishers, and a regular reviewer for various leading journals. He is a life member of the Computer Society of India (CSI), the Indian Science Congress Association (ISCA), member of IEEE, a professional member of ACM, senior member of IACSIT, and member of the Indian Society for Technical Education (ISTE).
Bibliographic Information
Book Title: Machine Learning and Information Processing
Book Subtitle: Proceedings of ICMLIP 2019
Editors: Debabala Swain, Prasant Kumar Pattnaik, Pradeep K. Gupta
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-15-1884-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-15-1883-6Published: 24 March 2020
eBook ISBN: 978-981-15-1884-3Published: 23 March 2020
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XVII, 537
Number of Illustrations: 88 b/w illustrations, 141 illustrations in colour
Topics: Computational Intelligence, Machine Learning, Image Processing and Computer Vision, User Interfaces and Human Computer Interaction