Overview
- Presents research works in the field of machine intelligence
- Discusses the results of MISS 2020 held in Gwalior, India, during 24–25 September 2020
- 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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Keywords
Table of contents (59 papers)
Editors and Affiliations
About the editors
Dr. Kamlesh Kumar Gupta is Principal in Rustamji Institute of Technology (RJIT), BSF Academy, Tekanpur, MP, India. He completed B.E., M.Tech. and Ph.D. in Computer Science & Engineering from RGPV Bhopal MP, India. He has published more than 40 research papers in various journals and conferences. He organized international conference in emerging trends of computer science and its applications in RJIT. He also organized various training courses on computer literacy in BorderSecurity Force Academy Tekanpur (MHA). He has guided many Ph.D.s in various universities like RGPV, Uttarakhand Technical University and Amity University, Gwalior. He is a member of CSI and IETE and a member in BOG of RGPV University Bhopal.
Dr. Jonathan H. Chan is an Associate Professor of Computer Science at the School of Technology, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand. Jonathan holds a B.A.Sc., M.A.Sc. and Ph.D. degree from the University of Toronto and is currently Visiting Professor there until the end of 2019. He was also Visiting Scientist at The Centre for Applied Genomics at Sick Kids Hospital in Toronto in several occasions. He is Section Editor of Heliyon Computer Science (Cell Press), Action Editor of Neural Networks (Elsevier) and a member of the editorial board of International Journal of Machine Intelligence and Sensory Signal Processing (Inderscience), International Journal of Swarm Intelligence (Inderscience) and Proceedings in Adaptation, Learning and Optimization (Springer). He is a senior member of IEEE, ACM and INNS and a member of the Professional Engineers of Ontario (PEO). His research interests include intelligent systems, cognitive computing, biomedical informatics, and data science and machine learning in general.
Dr. Jitendra Agrawal is Associate Professor in the School of Information Technology, at the Rajiv Gandhi Proudyogiki Vishwavidyalaya, MP, India. He earned his master’s degree from Samrat Ashok Technology Institute, Vidisha (MP), in 1997, and was awarded Doctor of Philosophy in Computer & Information Technology in 2012. His research interests include database, data structure, data mining, soft computing and computational intelligence. He has published more than 70 publications in international journals and conferences. He authored 4 books and 10 chapters in international publishers. He has also published 3 patents. He is the recipient of the Best Professor in Information Technology Award by the World Education Congress in 2013. He has delivered numerous invited talks and keynote addresses at different academic forums on various emerging issues in the field of Information Technology and Innovations in Teaching Learning System. He is a senior member of the IEEE (USA), a life member of Computer Society of India (CSI), a life member of Indian Society of Technical Education (ISTE) and a member of Youth Hostel Association of India (YHAI) and IAENG.
Mr. Manish Gupta is Assistant Professor in Computer Science & Engineering in Vikrant Institute of Technology & Management Gwalior, MP, India. He has done B.E. from MITS Gwalior MP, India, and M.Tech. from ABV-IIITM Gwalior MP, India, and pursuing Ph.D. from RGPV Bhopal MP, India. He has published more than 25 research papers in various journals, IEEE conferences and Springer conferences. He has published two books. He is currently working on a Central Govt. Project “Unnat Bharat Abhiyan” sanctioned by Govt. of India.
Bibliographic Information
Book Title: Machine Intelligence and Smart Systems
Book Subtitle: Proceedings of MISS 2020
Editors: Shikha Agrawal, Kamlesh Kumar Gupta, Jonathan H. Chan, Jitendra Agrawal, Manish Gupta
Series Title: Algorithms for Intelligent Systems
DOI: https://doi.org/10.1007/978-981-33-4893-6
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. 2021
Hardcover ISBN: 978-981-33-4892-9Published: 09 April 2021
Softcover ISBN: 978-981-33-4895-0Published: 10 April 2022
eBook ISBN: 978-981-33-4893-6Published: 08 April 2021
Series ISSN: 2524-7565
Series E-ISSN: 2524-7573
Edition Number: 1
Number of Pages: XVI, 701
Number of Illustrations: 183 b/w illustrations, 297 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Theory of Computation