Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication -

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (eBook)

Proceedings of MDCWC 2020

E. S. Gopi (Herausgeber)

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2021 | 1st ed. 2021
XIX, 643 Seiten
Springer Singapore (Verlag)
978-981-16-0289-4 (ISBN)
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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, power control, 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.


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 by Dr. 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.


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.
Erscheint lt. Verlag 28.5.2021
Reihe/Serie Lecture Notes in Electrical Engineering
Zusatzinfo XIX, 643 p. 387 illus., 304 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte Deep Reinforcement Learning • Genetic Algorithm • MDCWC 2020 • Mobile data analysis • Mobility Analysis • Network Control and Security • Particle swarm optimization • Proceedings of MDCWC
ISBN-10 981-16-0289-1 / 9811602891
ISBN-13 978-981-16-0289-4 / 9789811602894
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