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  • © 2021

Intelligence Enabled Research

DoSIER 2020

  • Presents research works in various fields of computational intelligence
  • Gathers outcomes of DoSIER 2020 doctoral symposium
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1279)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xvii
  2. DEBM: Differential Evolution-Based Block Matching Algorithm

    • Abhishek Dixit, Ashish Mani, Rohit Bansal
    Pages 1-9
  3. A Novel Self-adaptive Salp Swarm Algorithm for Dynamic Optimization Problems

    • Sanjai Pathak, Ashish Mani, Mayank Sharma, Amlan Chatterjee
    Pages 21-32
  4. Digital ID Generation and Management Framework Using Blockchain

    • Suchira Banerjee, Kousik Dasgupta
    Pages 33-43
  5. HFAIR: Hello Devoid Optimized Version of FAIR Protocol for Mobile Ad hoc Networks

    • Abu Sufian, Anuradha Banerjee, Paramartha Dutta
    Pages 45-54
  6. Disaster Severity Prediction from Twitter Images

    • Abhinav Kumar, Jyoti Prakash Singh
    Pages 65-73
  7. A Study on Energy-Efficient Communication in VANETs Using Cellular IoT

    • R. N. Channakeshava, Meenatchi Sundaram
    Pages 75-85
  8. A Study on Radio Labelling of Evolving Trees for Path \(P_n\)

    • Alamgir Rahaman Basunia, Laxman Saha, Kalishankar Tiwary
    Pages 97-104
  9. Secure Blockchain Smart Contracts for Efficient Logistics System

    • Ajay Kumar, Kumar Abhishek
    Pages 105-112
  10. COVID-19 Outbreak Prediction Using Quantum Neural Networks

    • Pranav Kairon, Siddhartha Bhattacharyya
    Pages 113-123

About this book

This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12–13 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Editors and Affiliations

  • CHRIST (Deemed to be University), Bangalore, India

    Siddhartha Bhattacharyya

  • Visva Bharati University, Bolpur Santiniketan, India

    Paramartha Dutta

  • Visva-Bharati University, Bolpur Santiniketan, India

    Kakali Datta

About the editors

Dr. Siddhartha Bhattacharyya [FIET (UK), FIEI (I), FIETE, LFOSI] is currently a Professor in the Department of Computer Science and Engineering of CHRIST (Deemed to be University), Bangalore, India. Prior to this, he was the Principal of RCC Institute of Information Technology, Kolkata, India. He served as a Senior Research Scientist at the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic, from October 2018 to April 2019. Prior to this, he was the Professor of Information Technology at RCC Institute of Information Technology, Kolkata, India. He is a co-author of 5 books and co-editor of 68 books, and has more than 300 research publications in international journals and conference proceedings to his credit. His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence, and quantum computing. 

Dr. Paramartha Dutta received his bachelor’s and master’s degrees inStatistics from the Indian Statistical Institute, Calcutta, in 1988 and 1990, respectively. He completed his Master of Technology in Computer Science at the same institute in 1993 and his Doctor of Philosophy in Engineering at Bengal Engineering and Science University, Shibpur, in 2005. He has served on various projects funded by the Government of India, e.g. for the Defence Research and Development Organization, Council of Scientific and Industrial Research, Indian Statistical Institute, Calcutta, etc. Dr. Dutta is currently a Professor at the Department of Computer and System Sciences, Visva-Bharati University, West Bengal, India. He has co-authored four books and has one edited book to his credit. He has published ca. 100 papers in various journals and conference proceedings, both national and international.

 Dr. Kakali Datta, born in 1974, is working as an Assistant Professor (STAGE-III) in the Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, India. She did her graduation from Presidency College, Kolkata, with honours in Statistics in 1995. Then, she earned her Bachelor of Technology degree in Computer Science and Engineering from the University of Calcutta and the Master of Engineering degree in Computer Science and Technology from Bengal Engineering College (Deemed University), Shibpur in the years 1995 and 2000, respectively. She got her doctoral degree from Visva-Bharati University, Santiniketan, in 2018. Her areas of interest are quantum-dot cellular automata, image processing, approximation algorithms, etc. She has fourteen publications in various peer-reviewed journals and national/international conference proceedings, and several book chapters with reputed international publishers. She is supervising two scholars at present. She has two (one international and one national) patents to her credit.

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access