Overview
- Presents research works in the field of computational intelligence
- Provides original works presented at IJCACI 2021 held online during October 23–24, 2021
- Serves as a reference for researchers and practitioners in academia and industry
Part of the book series: Algorithms for Intelligent Systems (AIS)
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Table of contents (47 papers)
Keywords
About this book
Editors and Affiliations
About the editors
Prof. Prashant K. Jamwal earned Ph.D. degree and a post-doctoral fellowship from the University of Auckland, New Zealand. Earlier, he had obtained M. Tech. from I.I.T., India, securing the first position in all the disciplines and B. Tech. from MNREC, Allahabad, India. Presently, he is working as Associate Professor at the School of Engineering and design sciences, Nazarbayev University (NU), Astana, Kazakhstan. He is actively pursuing research in artificial intelligence, multi-objective evolutionary optimization, mechatronics systems, biomedical robotics, and fuzzy mathematics. He is applying his research in the development of medical robots for rehabilitation and surgical applications besides the development of improved algorithms for cancer data analytics. He hasmore than 25 years of teaching and research experience and has published many research articles in reputed international journals/conferences. He has won many awards such as best paper awards in conferences, best digital solution award for his medical robots, Asian Universities Alliance (AUA) Scholars Award, etc., and recently United Nations acknowledged one of his robotics projects as one of the top twenty innovative projects in the world. He is working as Editor for the International Journal of bio-mechatronics and bio-robotics and as a reviewer to quite a few international journals and conferences of repute. He led many government-funded research projects and has so far received research grants worth more than $5M including a prestigious World Bank grant.
Dr. Jagdish Chand Bansal is an Associate Professor at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU, New Delhi he has worked as an Assistant Professor at ABV- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary area of interest is Swarm Intelligence and Nature Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems from the engineering domain. He has published more than 70 research papers in various international journals/conferences. He is the editor in chief of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS) and Studies in Autonomic, Data-driven and Industrial Computing (SADIC) published by Springer. He is the editor in chief of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He is also the Associate Editor of IEEE ACESSS publishedby IEEE and ARRAY published by Elsevier. He is the general secretary of Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels.
Bibliographic Information
Book Title: Proceedings of International Joint Conference on Advances in Computational Intelligence
Book Subtitle: IJCACI 2021
Editors: Mohammad Shorif Uddin, Prashant Kumar Jamwal, Jagdish Chand Bansal
Series Title: Algorithms for Intelligent Systems
DOI: https://doi.org/10.1007/978-981-19-0332-8
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-19-0331-1Published: 19 May 2022
Softcover ISBN: 978-981-19-0334-2Published: 20 May 2023
eBook ISBN: 978-981-19-0332-8Published: 18 May 2022
Series ISSN: 2524-7565
Series E-ISSN: 2524-7573
Edition Number: 1
Number of Pages: XIV, 648
Number of Illustrations: 67 b/w illustrations, 222 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Data Structures and Information Theory