Overview
- Presents high-quality research papers in computer vision
- Features the outcomes of CIS 2020
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 61)
Included in the following conference series:
Conference proceedings info: CIS 2020.
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Table of contents (45 papers)
Other volumes
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Congress on Intelligent Systems
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Congress on Intelligent Systems
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Intelligent Learning for Computer Vision
Keywords
About this book
Editors and Affiliations
About the editors
Dr. Mukesh Saraswat is Associate Professor at Jaypee Institute of Information Technology, Noida, India. Dr. Saraswat has obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 18 years of teaching and research experience. He has guided 02 Ph.D. students, more than 50 M.Tech. and B.Tech. dissertations, and presently guiding 05 Ph.D. students. He has published more than 40 journal and conference papers in the area of image processing, pattern recognition, data mining, and soft computing. He was the part of successfully completed DRDE funded project on image analysis and currently running two projects funded by SERB-DST (New Delhi) on Histopathological Image Analysis and Collaborative Research Scheme (CRS), under TEQIP III (RTU-ATU) on Smile. He has been an active member of many organizing committees of various conferences and workshops. He was also Guest Editor of the Journal of Swarm Intelligence. He is an active member of IEEE, ACM, and CSI Professional Bodies. His research areas include image processing, pattern recognition, mining, and soft computing.
Dr. Sandeep Kumar is currently Assistant Professor of Computer Science & Engineering at Amity University Rajasthan, Jaipur, India. Dr. Kumar holds a Ph.D. degree in Computer Science & Engineering, M.Tech. degree from RTU, Kota, and B.E. degree from Engineering College, Kota. Dr. Kumar was Assistant Professor of Computer Science & Engineering at ACEIT, Jaipur, 2008–2011, and Assistant Professor of Computer Science, Faculty of Engineering & Technology, Jagannath University, Jaipur, 2011–2017. Dr. Kumar was the head of computer science at Jagannath University, 2013–2017. He is also working as Guest Editor for many journals including International Journal of Intelligent Information and Database Systems (IJIIDS), International Journal of Agricultural Resources, Governance and Ecology (IJARGE), International Journal of Environment and Sustainable Development (IJESD), Inderscience, Recent Patents on Computer Science, and Bentham Science, member of editorial boards for many international journals, and member of technical program committees of many conferences. He has organized eight conferences as Conference Chair, Organizing Chair, and Technical Program Chair. Dr. Kumar has over fifty publications in well-known SCI/SCOPUS indexed international journals and conferences. He has authored/edited four books in the area of computer science and edited two conference proceedings. His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.
Dr. Jagdish Chand Bansal is 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 Assistant Professor at ABV-Indian Institute of Information Technology and Management Gwalior and BITS Pilani. He is Series Editor of the book series Algorithms for Intelligent Systems (AIS) published by Springer. He is Editor-in-Chief of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He is also Associate Editor of IEEE ACESSS published by IEEE. He is the steering committee member and General Chair of the annual conference series SocProS. He is General Secretary of Soft Computing Research Society (SCRS). 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 engineering domain. He has published more than 70 research papers in various international journals/conferences. He has supervised Ph.D. theses from ABV-IIITM Gwalior and SAU New Delhi. He has also received Gold Medal at UG and PG levels.
Bibliographic Information
Book Title: Intelligent Learning for Computer Vision
Book Subtitle: Proceedings of Congress on Intelligent Systems 2020
Editors: Harish Sharma, Mukesh Saraswat, Sandeep Kumar, Jagdish Chand Bansal
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-981-33-4582-9
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: 978-981-33-4581-2Published: 20 May 2021
Softcover ISBN: 978-981-33-4584-3Published: 21 May 2022
eBook ISBN: 978-981-33-4582-9Published: 19 May 2021
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XIV, 591
Number of Illustrations: 64 b/w illustrations, 271 illustrations in colour
Topics: Computational Intelligence, Image Processing and Computer Vision, Artificial Intelligence, Robotics