Computational Intelligence in Pattern Recognition (eBook)

This book features high-quality research papers presented at the 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2022), held at Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India, during 23 - 24 April 2022. 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.

Asit Kumar Das is working as a Professor in the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, West Bengal, India. He has published almost 150 research papers in various international journals and conferences, 1 book and 5 book chapters.  He has edited 6 books and 6 special issues in various journals. 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 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, audio and video mining. He has guided ten Ph.D. scholars and is currently guiding six Ph.D. scholars.

 

Janmenjoy Nayak is working as an Assistant Professor, P. G. Dept. of Computer Science, Maharaja Sriram Chandra BhanjaDeo University, Baripada, Odisha, India. He has published more than 170+ research papers in various reputed peer reviewed referred journals, international conferences and book chapters. Being two times Gold Medalist in Computer Science in his career, he has been awarded with INSPIRE Research Fellowship from Department of Science & Technology, Govt. of India (both as JRF and SRF level), and Best Researcher Award from Jawaharlal Nehru University of Technology, Kakinada, Andhra Pradesh, for the AY: 2018-19 and many more awards to his credit.  He has edited 20+ books and 14+ special issues in various topics including Data Science, Machine Learning and Soft Computing with reputed International Publishers like Springer, Elsevier, Inderscience, etc. His area of interest includes data mining, nature-inspired algorithms and soft computing.

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 150 research papers in various reputed peer reviewed international conferences, referred journals and book chapters. He has more than ten years of teaching experience in the field of Computer Science and Information Technology. His area of interest includes data mining, soft computing, etc. Currently, he is guiding four Ph.D. scholars and six master students.

Vimal Shanmuganathan is working as an Associate Professor in the Dept of Artificial Intelligence and Data Science, Ramco Institute of Technology, Tamil Nadu, India. He received Ph.D. degree in Cognitive Radio Networking and security Techniques using AI from Anna University Chennai, Tamil Nadu. He is working as Associate Professor in Department of Computer Science and Engineering, Ramco Institute of Technology, Tamil Nadu, India. His areas of interest include game modeling, arti?cial intelligence, cognitive radio networks, network security. He has published around 70 papers. He has hosted 21 special issues in IEEE, Elsevier, Springer and CMC tech science journals. 

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. He served as an 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 also served as Guest Editor for Elsevier, Springer and Inderscience journals and as Program Member of many conferences and as Editorial Board Member of many journals. He as Reviewer 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.

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This book features high-quality research papers presented at the 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2022), held at Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India, during 23 - 24 April 2022. 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.