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  • Conference proceedings
  • © 2021

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Proceedings of MDCWC 2020

Editors:

(view affiliations)
  • 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)

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USD 219.00
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  • ISBN: 978-981-16-0289-4
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  • Tax calculation will be finalised during checkout
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USD 279.99
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Table of contents (46 papers)

  1. Front Matter

    Pages i-xix
  2. Machine Learning, Deep Learning and Computational Intelligence Algorithms

    1. Front Matter

      Pages 1-1
    2. Deep Learning to Predict the Number of Antennas in a Massive MIMO Setup Based on Channel Characteristics

      • Sharan Chandra, E. S. Gopi, Hrishikesh Shekhar, Pranav Mani
      Pages 3-18
    3. Generative Adversarial Network and Reinforcement Learning to Estimate Channel Coefficients

      • Pranav Mani, E. S. Gopi, Hrishikesh Shekhar, Sharan Chandra
      Pages 49-58
    4. Auto-encoder—LSTM-Based Outlier Detection Method for WSNs

      • Bhanu Chander, Kumaravelan Gopalakrishnan
      Pages 109-119
    5. An Improved Swarm Optimization Algorithm-Based Harmonics Estimation and Optimal Switching Angle Identification

      • M. Alekhya, S. Ramyaka, N. Sambasiva Rao, Ch. Durga Prasad
      Pages 121-126
    6. A Study on Ensemble Methods for Classification

      • R. Harine Rajashree, M. Hariharan
      Pages 127-136
    7. An Improved Particle Swarm Optimization-Based System Identification

      • Pasila Eswari, Y. Ramalakshmanna, Ch. Durga Prasad
      Pages 137-142
    8. Flip Flop Neural Networks: Modelling Memory for Efficient Forecasting

      • S. Sujith Kumar, C. Vigneswaran, V. Srinivasa Chakravarthy
      Pages 165-174
  3. Wireless Communication Systems

    1. Front Matter

      Pages 175-175
    2. Selection Relay-Based RF-VLC Underwater Communication System

      • Mohammad Furqan Ali, Tharindu D. Ponnimbaduge Perera, Vladislav S. Sergeevich, Sheikh Arbid Irfan, Unzhakova Ekaterina Viktorovna, Weijia Zhang et al.
      Pages 177-192

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, 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.

Keywords

  • Mobile Data Analysis
  • Mobility Analysis
  • Network Control and Security
  • Particle Swarm Optimization
  • Genetic Algorithm
  • Deep Reinforcement Learning
  • MDCWC 2020
  • Proceedings of MDCWC

Editors and Affiliations

  • Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, India

    E. S. Gopi

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 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.

Bibliographic Information

Buying options

eBook
USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-981-16-0289-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 279.99
Price excludes VAT (USA)
Hardcover Book
USD 279.99
Price excludes VAT (USA)