Overview
- Presents high-quality research in the areas of networking, AI, big data, and the Internet of things
- Presents the outcomes of ICACT 2020, held at SRM Institute of Science and Technology, Chennai, India, on 23–24 January 2020
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 130)
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Table of contents (48 papers)
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Front Matter
Keywords
About this book
This book features a collection of high-quality research papers presented at the International Conference on Advanced Computing Technology (ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23–24 January 2020. It covers the areas of computational intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and bioinformatics
Editors and Affiliations
About the editors
Dr. D. Jude Hemanth received his B.E. degree in ECE from Bharathiar University in 2002, M.E. degree in Communication Systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include computational intelligence and image processing. He has published more than 100 research papers in respected SCIE-indexed international journals and Scopus-indexed international conferences, as well as 27 edited books with leading publishers such as Elsevier, Springer and IET. He is currently an Associate Professor at the Department of ECE, Karunya University, India.
Dr. G. Vadivu received her B.E. degree in CSE from IRTT, affiliated to Bharathiar University, in 1993; M.E. degree in CSE from SRM Institute of Science and Technology (formerly known as SRM University) in 2007; and her Ph.D. from SRM Institute of Science and Technology in 2013. Her research areas include big data analytics, machine learning, streaming analytics and SemanticWeb. She has also been a member of the organizing committees of several international conferences. She is a member the IET, ISC, ACM-W, CSI and IEEE. She has also received funding from the Scheme for Promotion of Academic and Research Collaboration (SPARC), MHRD, to investigate the use of deep learning to identify diabetic from retina images.
M. Sangeetha received her B.E. degree in CSE from Sakthi Mariamman Engineering College, affiliated to Anna University, in 2006 and her M.E. degree from Anna University, Coimbatore, in 2010. Her research areas include machine learning, big data analytics and deep learning. She holds professionally qualifications in Big Data Visualization Tool (TABLEAU), machine learning and Python language. She has also been a member of the organizing committees of several national and international conferences. She is a member of IAENG, CSI, IEEE, ISTE, the Indian Science Congress Association and ISTE.
Valentina E. Balas is currently a Full Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Her research interests include intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling and simulation, and she has published over 300 research papers in refereed journals and international conferences. She is a member of EUSFLAT, ACM, a senior member of IEEE, and a member of TC–Fuzzy Systems (IEEE CIS), TC–Emergent Technologies (IEEE CIS), and TC–Soft Computing (IEEE SMCS).
Bibliographic Information
Book Title: Artificial Intelligence Techniques for Advanced Computing Applications
Book Subtitle: Proceedings of ICACT 2020
Editors: D. Jude Hemanth, G. Vadivu, M. Sangeetha, Valentina Emilia Balas
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-981-15-5329-5
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-5328-8Published: 24 July 2020
Softcover ISBN: 978-981-15-5331-8Published: 25 July 2021
eBook ISBN: 978-981-15-5329-5Published: 23 July 2020
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XVIII, 534
Number of Illustrations: 59 b/w illustrations, 129 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Communications Engineering, Networks