Overview
- Presents research in the field of intelligent computing
- Features the proceedings of FICTA 2020, held at NIT Surathkal, India
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1176)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2).
Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.
Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.
Similar content being viewed by others
Keywords
Table of contents (74 papers)
-
Front Matter
Editors and Affiliations
About the editors
Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 150 quality publications in various international journals and conference proceedings. He has edited more than 25 volumes of conference proceedings with Springer Nature (AISC,SIST,LNEE, LNNS Series). He is associate editor of IJSE and IJRSDA.and presently EiC of IJNCR journal under IGI Global.
Sheng-Lung Peng is a Professor at the Department of Computer Science and Information Engineering at National Dong Hwa University, Hualien, Taiwan. He is also a supervisor at the Chinese Information Literacy Association, and the Association of Algorithms and Computation Theory. His research interests include designing and analyzing algorithms for bioinformatics, combinatorics, data mining and networks. He has edited several special issues in respected journals and published more than 100 international conference and journal papers.
Suresh Chandra Satapathy is a Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. His research interests include machine learning, data mining, and swarm intelligence studies and their applications to engineering. He has published over 140 publications in various respected international journals and conference proceedings. He has edited several volumes of AISC, LNEE and SIST, and is a senior member of IEEE and life member of the Computer Society of India.
Yu-Dong Zhang received his Ph.D. degree from Southeast University, China, in 2010. From 2010 to 2013, he worked as a post-doc and then as a research scientist at Columbia University, USA. He served as a Professor at Nanjing Normal University from 2013 to 2017, and is currently a Full Professor at the University of Leicester, UK. His research interests include deep learning in communication and signal processing, and medical image processing.
Sheng-Lung Peng is a Professor at the Department of Computer Science and Information Engineering at National Dong Hwa University, Hualien, Taiwan. He is also a supervisor at the Chinese Information Literacy Association, and the Association of Algorithms and Computation Theory. His research interests include designing and analyzing algorithms for bioinformatics, combinatorics, data mining and networks. He has edited several special issues in respected journals and published more than 100 international conference and journal papers.
Suresh Chandra Satapathy is a Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. His research interests include machine learning, data mining, and swarm intelligence studies and their applications to engineering. He has published over 140 publications in various respected international journals and conference proceedings. He has edited several volumes of AISC, LNEE and SIST, and is a senior member of IEEE and life member of the Computer Society of India.
Yu-Dong Zhang received his Ph.D. degree from Southeast University, China, in 2010. From 2010 to 2013, he worked as a post-doc and then as a research scientist at Columbia University, USA. He served as a Professor at Nanjing Normal University from 2013 to 2017, and is currently a Full Professor at the University of Leicester, UK. His research interests include deep learning in communication and signal processing, and medical image processing.
Bibliographic Information
Book Title: Evolution in Computational Intelligence
Book Subtitle: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 1
Editors: Vikrant Bhateja, Sheng-Lung Peng, Suresh Chandra Satapathy, Yu-Dong Zhang
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-15-5788-0
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
Softcover ISBN: 978-981-15-5787-3Published: 09 September 2020
eBook ISBN: 978-981-15-5788-0Published: 08 September 2020
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXI, 797
Number of Illustrations: 121 b/w illustrations, 262 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Communications Engineering, Networks