Editors:
- Presents research works in the field of intelligent data communication technologies and IoT
- Provides original works presented at ICICI 2021 held in Coimbatore, India
- Serves as a reference for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 101)
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Table of contents (76 papers)
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Front Matter
About this book
This book gathers selected papers presented at the 5th International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI 2021), organized by JCT College of Engineering and Technology, Coimbatore, Tamil Nadu, India during 27 – 28 August 2021. This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application domains. The general scope of this book covers the design, architecture, modeling, software, infrastructure and applications of intelligent communication architectures and systems for big data or data-intensive applications. In particular, this book reports the novel and recent research works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing technologies, image analysis, robotics and autonomous systems, data security and privacy.
Editors and Affiliations
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Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
D. Jude Hemanth
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Faculty of Communication Sciences, University of Teramo, Teramo, Italy
Danilo Pelusi
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Department of Computer Engineering, San Jose State University, San Jose, USA
Chandrasekar Vuppalapati
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 authored more than 120 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences. His Cumulative Impact Factor is more than 150. He has published 33 edited books with reputed publishers such as Elsevier, Springer and IET.
Dr. Danilo Pelusi received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. Associate Professor at the Faculty of Communication Sciences, University of Teramo, he is an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, International Journal of Machine Learning and Cybernetics (Springer) and Array (Elsevier). Guest editor for Elsevier, Springer and Inderscience journals, he served as program member of many conferences and as editorial board member of many journals. His research interests include Fuzzy Logic, Neural Networks, Information Theory and Evolutionary Algorithms. Publication Link: https://scholar.google.it/citations?user=weczOsMAAAAJ&hl=it
Dr. Chandrasekar Vuppalapati is a Software IT Executive with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Big Data Business Analytics, Internet of Things (IoT), and Software Product & Program Management. Chandra held engineering and Product leadership roles at GE Healthcare, Cisco Systems, Samsung, Deloitte, St. Jude Medical, and Lucent Technologies, Bell Laboratories Company. Chandra teaches Software Engineering, Mobile Computing, Cloud Technologies, and Web & Data Mining for Master’s program in San Jose State University. Additionally, Chandra held market research, strategy and technology architecture advisory roles in CiscoSystems, Lam Research and performed Principal Investigator role for Valley School of Nursing where he connected Nursing Educators & Students with Virtual Reality technologies. Chandra has functioned as Chair in numerous technology and advanced computing conferences such as: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco USA and Future of Information and Communication Conference 2018, Singapore. Chandra graduated from San Jose State University Master’s Program, specializing in Software Engineering, and completed his Master of Business Administration from Santa Clara University, Santa Clara, California, USA.
Bibliographic Information
Book Title: Intelligent Data Communication Technologies and Internet of Things
Book Subtitle: Proceedings of ICICI 2021
Editors: D. Jude Hemanth, Danilo Pelusi, Chandrasekar Vuppalapati
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-981-16-7610-9
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. 2022
Hardcover ISBN: 978-981-16-7609-3Published: 01 March 2022
Softcover ISBN: 978-981-16-7612-3Published: 02 March 2023
eBook ISBN: 978-981-16-7610-9Published: 28 February 2022
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XXII, 1076
Number of Illustrations: 126 b/w illustrations, 429 illustrations in colour
Topics: Computational Intelligence, Cyber-physical systems, IoT, Professional Computing, Input/Output and Data Communications, Artificial Intelligence, Communications Engineering, Networks