Overview
- Presents research works in various fields of computational intelligence and machine learning
- Discusses results of MDCWC 2020 held at National Institute of Technology Tiruchirappalli, India
- Serves as a reference for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 749)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, powercontrol, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.
Similar content being viewed by others
Table of contents (46 papers)
-
Front Matter
-
Machine Learning, Deep Learning and Computational Intelligence Algorithms
-
Front Matter
-
-
Wireless Communication Systems
-
Front Matter
-
Editors and Affiliations
About the editor
Dr. E.S. Gopi has authored eight books, of which seven have been published by Springer. He has also contributed 9 book chapters to books published by Springer. He has several papers in international journals and conferences to his credit. He has 20 years of teaching and research experience. He is the coordinator for the pattern recognition and the computational intelligence laboratory. He is currently Associate Professor, Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India. His books are widely used all over the world. His research interests include machine intelligence, pattern recognition, signal processing and computational intelligence. He is the series editor for the series “Signals and Communication Technology”, Springer publication. The India International Friendship Society (IFS) has awarded him the “Shiksha Rattan Puraskar Award” for his meritorious services in the field of education. The award was presented byDr. Bhishma Narain Singh, Former Governor, Assam and Tamil Nadu, India. He is also awarded with the "Glory of India Gold Medal" by International Institute of Success Awareness. This award was presented by Shri Syed Sibtey Razi, Former Governor of Jharkhand, India. He was also awarded with "Best Citizens of India 2013" by The International Publishing House.
Accessibility Information
Accessibility information for this book is coming soon. We're working to make it available as quickly as possible. Thank you for your patience.
Bibliographic Information
Book Title: Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication
Book Subtitle: Proceedings of MDCWC 2020
Editors: E. S. Gopi
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-16-0289-4
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0), Springer Nature Proceedings excluding Computer Science
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-0288-7Published: 29 May 2021
Softcover ISBN: 978-981-16-0291-7Published: 30 May 2022
eBook ISBN: 978-981-16-0289-4Published: 28 May 2021
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XIX, 643
Number of Illustrations: 83 b/w illustrations, 304 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Wireless and Mobile Communication, Communications Engineering, Networks, Computer Communication Networks