Overview
- Comprises of peer-reviewed papers presented during ICRTAC-AIT 2020
- Includes contributions from academia, and industry in artificial intelligence and related technologies
- Serves as a valuable reference resource for academics and researchers across the globe
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 806)
Included in the following conference series:
Conference proceedings info: ICRTAC 2020.
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About this book
This book constitutes refereed proceedings of the 3rd International Conference on Recent Trends in Advanced Computing - Artificial Intelligence and Technologies. This book covers a wide range of topics—vision, analytics, robotics, networking, health care, current pandemic issues of COVID-19, and cutting-edge technologies connected to cybersecurity in digital manufacturing and Industry 4.0. The contents of this book will be useful to researchers from industry and academia. The volume includes novel contributions and the latest developments from researchers across industry and academia. The book will serve as a valuable reference resource for academics and researchers across the globe.
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Keywords
Table of contents (61 papers)
Editors and Affiliations
About the editors
Rajeev R. Raje is a Professor in the Department of Computer and Information Science (CIS) and is an Associate Dean in the School of Science at Indiana University-Purdue University Indianapolis (IUPUI). Dr. Raje’s research interests are in distributed and service-oriented software systems, programming languages, and software engineering. Dr. Raje has authored over 140 publications. Dr. Raje is a Senior Member of the ACM and IEEE, and he also co-directs the software engineering and distributed systems group in the CIS department.
Farookh Hussain is a Professor in the School of Computer Science, University of Technology, Sydney, Australia, and is currently serving as Head of Software Engineering. Dr. Hussain is an Associate Member of the Advanced Analytics Institute and a Core Member of the Australian Artificial Intelligence Institute. He has written various books and chapters and has published widely in journals too. Dr. Hussain has over 500 papers in various international journals and conferences. He has completed over 50 funded projects for the government and various private organizations.
R. Jagadeesh Kannan is Professor and Dean of the School of Computer Science and Engineering at Vellore Institute of Technology, India. He completed his Ph.D. in Handwritten Character Recognition using Hybrid Techniques from Anna University, Chennai, India. He got his M.E. degree in Computer Science and Engineering from National Engineering College, Tamil Nadu, and B.E. in Instrumentation and Control Engineering from Madurai Kamaraj University, Tamil Nadu, India. Prof. Kannan has over 18 years of teaching and industrial experience in reputed organizations. Prof. Kannan has got several publications inconference proceedings and journals of national and international repute. His research interests are neural networks, fuzzy logic, neuro-fuzzy systems, soft computing tools, pattern recognition, natural language processing, image processing, networking, printed, handwritten and cursive character recognition, and artificial intelligence.
Bibliographic Information
Book Title: Artificial Intelligence and Technologies
Book Subtitle: Select Proceedings of ICRTAC-AIT 2020
Editors: Rajeev R. Raje, Farookh Hussain, R. Jagadeesh Kannan
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-16-6448-9
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-6447-2Published: 17 December 2021
Softcover ISBN: 978-981-16-6450-2Published: 18 December 2022
eBook ISBN: 978-981-16-6448-9Published: 16 December 2021
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XI, 671
Number of Illustrations: 142 b/w illustrations, 215 illustrations in colour
Topics: Artificial Intelligence, Machine Learning, Computer Applications, Computer Systems Organization and Communication Networks