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Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Proceedings of MDCWC 2020

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. E. S. Gopi

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

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  • 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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Table of contents (46 papers)

  1. Wireless Communication Systems

    1. Performance Comparison of Arduino IDE and Runlinc IDE for Promotion of IoT STEM AI in Education Process

      • Sangay Chedup, Dushantha Nalin K. Jayakody, Bevek Subba, Hassaan Hydher
      Pages 237-254

    2. Analysis of Small Loop Antenna Using Numerical EM Technique

      • R. Seetharaman, Chaitanya Krishna Chevula
      Pages 255-265

    3. A Monopole Octagonal Sierpinski Carpet Antenna with Defective Ground Structure for SWB Applications

      • E. Aravindraj, G. Nagarajan, R. Senthil Kumaran
      Pages 267-280

    4. DFT Spread C-DSLM for Low PAPR FBMC with OQAM Systems

      • K. Ayappasamy, G. Nagarajan, P. Elavarasan
      Pages 281-302

    5. Secure, Efficient, Lightweight Authentication in Wireless Sensor Networks

      • Bhanu Chander, Kumaravelan Gopalakrishnan
      Pages 303-312

    6. Performance Evaluation of Logic Gates Using Magnetic Tunnel Junction

      • Jyoti Garg, Subodh Wairya
      Pages 313-321

    7. Medical IoT—Automatic Medical Dispensing Machine

      • C. V. Nisha Angeline, S. Muthuramlingam, E. Rahul Ganesh, S. Siva Pratheep, V. Nishanthan
      Pages 323-330

    8. Performance Analysis of Digital Modulation Formats in FSO

      • Monica Gautam, Sourabh Sahu
      Pages 331-340

    9. High-Level Synthesis of Cellular Automata–Belousov Zhabotinsky Reaction in FPGA

      • P. Purushothaman, S. Srihari, S. Deivalakshmi
      Pages 341-349

    10. IoT-Based Calling Bell

      • Sundara Babu Maddu, Gaddam Venu Gopal, Ch. Lasya Sarada, B. Bhargavi
      Pages 351-362

  2. Mobile Data Applications

    1. Front Matter

      Pages 363-363
      Download chapter PDF

    2. Development of an Ensemble Gradient Boosting Algorithm for Generating Alerts About Impending Soil Movements

      • Ankush Pathania, Praveen Kumar, Priyanka, Aakash Maurya, K. V. Uday, Varun Dutt
      Pages 365-379

    3. Seam Carving Detection and Localization Using Two-Stage Deep Neural Networks

      • Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
      Pages 381-394

    4. A Machine Learning-Based Approach to Password Authentication Using Keystroke Biometrics

      • Adesh Thakare, Shreyas Gondane, Nilesh Prasad, Siddhant Chigale
      Pages 395-406

    5. Attention-Based SRGAN for Super Resolution of Satellite Images

      • D. Synthiya Vinothini, B. Sathya Bama
      Pages 407-423

    6. Detection of Acute Lymphoblastic Leukemia Using Machine Learning Techniques

      • Pradeep Kumar Das, Ayush Pradhan, Sukadev Meher
      Pages 425-437

    7. Computer-Aided Classifier for Identification of Renal Cystic Abnormalities Using Bosniak Classification

      • P. R. Mohammed Akhil, Menka Yadav
      Pages 439-457

    8. Recognition of Obscure Objects Using Super Resolution-Based Generative Adversarial Networks

      • B. Sathyabama, A. Arunesh, D. SynthiyaVinothini, S. Anupriyadharsini, S. Md. Mansoor Roomi
      Pages 459-472

    9. Low-Power U-Net for Semantic Image Segmentation

      • Vennelakanti Venkata Bhargava Narendra, P. Rangababu, Bunil Kumar Balabantaray
      Pages 473-491

    10. Electrocardiogram Signal Classification for the Detection of Abnormalities Using Discrete Wavelet Transform and Artificial Neural Network Back Propagation Algorithm

      • M. Ramkumar, C. Ganesh Babu, R. Sarath Kumar
      Pages 493-505
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Keywords

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.

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 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.

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