Editors:
- Presents recent research in the field of computational methods and data engineering
- Discusses the outcomes of ICCMDE 2021, held in Vellore, India
- Serves as a reference guide for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 139)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (41 papers)
-
Front Matter
About this book
The book features original papers from International Conference on Computational Methods and Data Engineering (ICCMDE 2021), organized by School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India, during November 25–26, 2021. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of advanced computing.
Editors and Affiliations
-
Electrical and Computer Engineering, University of Dayton, Dayton, USA
Vijayan K. Asari
-
School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India
Vijendra Singh
-
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India
Rajkumar Rajasekaran
-
Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology, Chandigarh, India
R. B. Patel
About the editors
Dr. Vijayan Asari is Professor in Electrical and Computer Engineering and Ohio Research Scholars Endowed Chair in Wide Area Surveillance at University of Dayton, Dayton, Ohio. He is Director of the University of Dayton Vision Lab (Center of Excellence for Computer Vision and Wide Area Surveillance Research). Dr. Asari had been Professor in Electrical and Computer Engineering at Old Dominion University, Norfolk, Virginia, till January 2010. He was Founding Director of the Computational Intelligence and Machine Vision Laboratory (ODU Vision Lab) at ODU. Dr. Asari received the Bachelor's degree in electronics and communication engineering from the University of Kerala (College of Engineering, Trivandrum), India, in 1978, the M.Tech. and Ph.D. degrees in Electrical Engineering from the Indian Institute of Technology, Madras, in 1984 and 1994, respectively.
Dr. Vijendra Singh is working as Professor in School of Computer Science at The University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India. Dr. Singh received his Ph.D. degree in Engineering and M. Tech. degree in Computer Science and Engineering from Birla Institute of Technology, Mesra, India. He has 20 years of experience in research and teaching including IT industry. Dr. Singh's major research concentration has been in the areas of data mining, image processing, Big data, machine learning, and Deep Learning. He has published more than 85 scientific papers in this domain. He has served as Editor in Chief, Procedia Computer Science, Vol 167, 2020, Elsevier; Editor in Chief, Procedia Computer Science, Vol 132, 2018, Elsevier; Associate Editor, BMC Medical Informatics and Decision Making, Springer Nature; International Journal of Healthcare Information Systems and Informatics, IGI Global, USA; Editor, BMC Digital Health, Springer Nature; Editorial Board Member, International Journal of Information and Decision Sciences, Inderscience, UK.He received the IBM Edu Leader Award. Singh Vijendra is Member of ISTE, IEEE, and ACM.
Dr. Rajkumar Rajasekaran is Professor and Researcher, at the Vellore Institute of Technology, India. He earned his Ph.D. in Computer Science and Engineering. He is Professor of Data Analytics at School of Computer Science and Engineering at VIT University in Vellore, India. In his current position, he is responsible for teaching data science, data visualization, and big data analytics. He was Head of data analytics research group. Research focuses on healthcare data analytics, agricultural data analytics, and streaming data analytics. He is Specialist in exploratory data analytics, data visualization, and the development and applications of agricultural data analytics techniques particularly implementing with R programming. He has published more than 60 papers in Scopus and SCI and chaired many conferences and published three authored books. He has got 6 Indianpatents and 1 Australian patent. His current research looks at the healthcare data analytics of international governance by emerging countries like India. Rajkumar has learned and applied data analytics in healthcare and agriculture data combining case study analysis.
Prof. R B Patel is working as Professor in the Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology (CCET), Chandigarh, India. Prior to joining the CCET, he worked as Professor at NIT, Uttarakhand, India, and Dean, Faculty of Information Technology and Computer Science, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, India. His research areas include mobile and distributed computing, machine and deep learning, and wireless sensor networks. Prof. Patel has published more than 150 papers in international journals and conference proceedings. He has supervised 16 Ph.D. scholars and currently 02 are in progress.
Bibliographic Information
Book Title: Computational Methods and Data Engineering
Book Subtitle: Proceedings of ICCMDE 2021
Editors: Vijayan K. Asari, Vijendra Singh, Rajkumar Rajasekaran, R. B. Patel
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-981-19-3015-7
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. 2023
Softcover ISBN: 978-981-19-3014-0Published: 09 September 2022
eBook ISBN: 978-981-19-3015-7Published: 08 September 2022
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XII, 576
Number of Illustrations: 76 b/w illustrations, 230 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Data Engineering, Data Mining and Knowledge Discovery, Computer Imaging, Vision, Pattern Recognition and Graphics