© 2020

Computational Intelligence in Pattern Recognition

Proceedings of CIPR 2020

  • Asit Kumar Das
  • Janmenjoy Nayak
  • Bighnaraj Naik
  • Soumi Dutta
  • Danilo Pelusi
Conference proceedings

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1120)

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Rohit Rastogi, Rishabh Jain, Puru Jain, Parul Singhal, Priyanshi Garg, Mukund Rastogi
    Pages 29-51
  3. Rohit Rastogi, Puru Jain, Rishabh Jain, Parul Singhal
    Pages 53-70
  4. Animesh Verma, Amrendra Tripathi, Tanupriya Choudhury
    Pages 71-81
  5. Sanghamitra Das, Suchibrota Dutta, Arijit Ghosal
    Pages 83-92
  6. Debanjan Banerjee, Arijit Ghosal
    Pages 93-100
  7. Subhrajit Bhowmik, Akshay Chatterjee, Sampurna Biswas, Reshmina Farhin, Ghazaala Yasmin
    Pages 101-112
  8. Rashi Asthana, Shubham Dhanetwal, Tanupriya Choudhury, Ravi Tomar
    Pages 113-122
  9. Ankur Das, Chirantana Mallick, Soumi Dutta
    Pages 133-141
  10. Meenakshi, A. C. Ramachandra, Subhrajit Bhattacharya
    Pages 143-153
  11. Rohit Rastogi, Mamta Saxena, Sushil Kumar Sharma, Sulochana Murlidharan, Vijay Beriwal, Divyanshu Jaiswal et al.
    Pages 181-197
  12. Anushree Sah, Tanupriya Choudhury, Saurabh Rawat, Amrendra Tripathi
    Pages 199-206
  13. Debasmita Mishra, Bighnaraj Naik, Ronali Madhusmita Sahoo, Janmenjoy Nayak
    Pages 207-215
  14. Ronali Madhusmita Sahoo, Sasmita Kumari Padhy
    Pages 217-229
  15. Prateek Mudali, J. Roopa, M. Govinda Raju, Akhilesh Yadav
    Pages 231-241

About these proceedings


This book features high-quality research papers presented at the 2nd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2020), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 4–5 January 2020. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.



Rough Set and Fuzzy Set Theory Genetic Algorithm Artificial Immune Systems Optical Networks Shape analysis Social Network Analysis Cloud Configuration Process Industry Big Data Analytics Randomized Algorithms Information and Network Security Internet and Web Technologies

Editors and affiliations

  • Asit Kumar Das
    • 1
  • Janmenjoy Nayak
    • 2
  • Bighnaraj Naik
    • 3
  • Soumi Dutta
    • 4
  • Danilo Pelusi
    • 5
  1. 1.Department of Computer Science and TechnologyIndian Institute of Engineering Science and TechnologyHowrahIndia
  2. 2.Department of Computer Science and EngineeringAditya Institute of Technology and Management (AITAM)SrikakulamIndia
  3. 3.Department of Computer ApplicationsVeer Surendra Sai University of TechnologySambalpurIndia
  4. 4.Department of Computer Science and ApplicationInstitute of Engineering and Management (IEM)KolkataIndia
  5. 5.Faculty of Communication SciencesUniversity of TeramoTeramoItaly

About the editors

Prof. Asit Kumar Das is working as a Professor in the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India. He has received B. Sc. Honors in Mathematics, B. Tech. and Computer Science & Technology from Calcutta University, West Bengal and Doctor of Philosophy in Engineering (Ph.D.) from Bengal Engineering and Science University (BESU), Shibpur, West Bengal. He has published more than 100 research papers in various international journals and conferences, 1 book on rough set theory in data mining, 4 book chapters. He has worked as a member of the editorial/reviewer board of various international journals and conferences. He has shared his research field of interest in many workshops and conferences through his invited speech in various institutes in India. He likes to teach the theoretical subjects like discrete structures, data structures, design and analysis of algorithm, data mining, etc. to B. Tech. and M. Tech. students of Computer Science and Engineering. He acts as the general chair, program chair, and advisory member of committees of many international conferences. His research interest includes data mining and pattern recognition in various fields including bioinformatics, social networks, text mining, Audioaudio and video data analysis, and medical data analysis. He has already guided five Ph.D. scholars and is currently guiding six Ph.D. scholars.

Dr. Janmenjoy Nayak is working as an Associate Professor, Aditya Institute of Technology and Management (AITAM), (An Autonomous Institution) Tekkali, K. Kotturu, Srikakulam, Andhra Pradesh-532201, India. He has been awarded INSPIRE Research Fellowship from Department of Science & Technology, Govt. of India, (both as JRF and SRF level) for doing his doctoral research in the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha, India. He has published more than 80 research papers in various reputed peer-reviewed referred journals, international conferences and book chapters. He has also authored one Text book on “Formal Languages and Automata Theory” in Vikash Publishing House Pvt. Ltd., which has been widely acclaimed throughout the country and abroad by the students of all levels. He is the recipient of Young Faculty in Engineering-2017 Award by Venus International Foundation, Chennai, Best Young Researcher in Computer Science Engineering, by Institute of Technical and Scientific Research Foundation Award-2017, Jaipur, Rajasthan, and Best Researcher Award from JNTU Kakinada for the AY 2018-19. Moreover, he is the recipient of Outstanding Reviewer for the journal “Engineering Applications of Artificial Intelligence” for 2017, by Elsevier Publications. He has been serving as an active member of reviewer committee of various reputed peer-reviewed journals such as IEEE Transactions on Emerging Topics of Computational Intelligence, IET Intelligent Transport Systems, Elsevier, Springer and Inderscience journals. His area of interest includes data mining, nature-inspired algorithms and soft computing.

Dr. Bighnaraj Naik is an Assistant Professor in the Department of Computer Applications, Veer Surendra Sai University of Technology, Burla, Odisha, India. He received his doctoral degree from the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha, India, Master degree from SOA University, Bhubaneswar, Odisha, India, and Bachelor degree from National Institute of Science and Technology, Berhampur, Odisha, India. He has published more than 80 research papers in various reputed peer-reviewed international conferences, referred journals and book chapters. He has more than five years of teaching experience in the field of Computer Science and Information Technology. His area of interest includes data mining, soft computing, etc.

Dr. Soumi Dutta is an Associate Professor at the Institute of Engineering & Management, India. She has completed her Ph.D. from the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur. Her research interests data mining, information retrieval, natural language processing, online social media analysis, micro-blog summarization, spam filtering, sentiment analysis, and clustering of micro-blogging data. She was the editor in International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS2018) Springer Conference for 3 volumes, special issue volume in IJWLTT. She is TPC member in various international conferences such as—International Conference on Smart Innovation, Ergonomics and Applied Human Factors (SEAHF 2019), Data Science & Machine learning & Application (DSMLA 2019), ARIAM-2019. She is peer reviewer in different international journals such as—Journal of King Saud University—Computer and Information Sciences, Springer, Elsevier, etc. She is the member of several technical functional bodies such as MACUL, SDIWC, ISOC, ICSES. She has published several papers in reputed journals and conferences.

Dr. Danilo Pelusi has received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. Presently, he is holding the position of Associate Professor at the Faculty of Communication Sciences, University of Teramo. Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, International Journal of Machine Learning and Cybernetics (Springer) and Array (Elsevier), he served as guest editor for Elsevier, Springer and Inderscience journals, as program member of many conferences and as editorial board member of many journals. Reviewer of reputed journals such as IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Machine Learning, his research interests include intelligent computing, communication system, fuzzy logic, neural networks, information theory and evolutionary algorithms.


Bibliographic information

Industry Sectors
Chemical Manufacturing
IT & Software
Consumer Packaged Goods
Materials & Steel
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences