International Conference on IoT, Intelligent Computing and Security

Select Proceedings of IICS 2021
2023
ISBN: 978-981-19-8135-7
Verlag: Springer Nature Singapore

Buch, Englisch, Band 982, 484 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1027 g

Reihe: Lecture Notes in Electrical Engineering

This book comprises select peer-reviewed papers from the International Conference on IoT, Intelligent Computing and Security, IICS 2021. The contents focus on the latest research in artificial intelligence, IoT, intelligent computing, and leading technological convergence security challenges. The book also discusses AI-driven automation of highly connected smart devices across the globe presenting the fast technological shift with the futuristic scenario, bursting perspective of IoT, computational intelligence, and security concerns. This book supports the transfer of vital knowledge to the next generation of researchers, students, and practitioners in academia and industry.

Zielgruppe

Research

Autoren/Hrsg.

Agrawal, Rajeev

Sharma Gaur, Madhu

Mitra, Pabitra

Pal, Arindam

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

Internet of Medical Things Enabled by Permissioned Blockchain on Distributed Storage.- Wearable Location Tracker for Emergency Management.- A review of Machine Learning Techniques (MLT) in Health Informatics.- A Task Scheduling Algorithm for Optimizing Quality of Service in Smart Healthcare System.- Comparative Study of machine learning models for early detection ofParkinson's.- Mining Repository for Module Reuse: A Machine Learning Based Approach.

Über Autor(innen)

Dr. Rajeev Agrawal has worked as Director and Professor at G.L. Bajaj Institute of Technology and Management, Greater Noida, India. He has an illustrated experience of more than 27 years in teaching and research and holds a B.E. degree in Electronics Engineering and M.Tech. degree in System Engineering. He received Ph.D. in the area of Wireless Communication Channels from the School of Computer and System Sciences, JNU, New Delhi. He was visiting professor at Kennesaw State University, Georgia, USA, under a joint research project in the area of Remote Patient Monitoring and Medical Imaging. His research areas include planning and performance analysis of wireless networks and medical image analysis for automated diagnosis, performance analysis of fog, and edge networks. He has more than 70 publications in international journals and proceedings. He has been awarded by various state and national agencies for his contribution to research and academics. He is also serving as a reviewerfor several reputed international journals and member of the editorial board for two international journals and an editor of a book by Elsevier in the area of Health Informatics and two lecture series by Springer.
Dr. Pabitra Mitra (Member, IEEE) received the B.Tech. degree in electrical engineering from IIT Kharagpur, Kharagpur, West Bengal, India, in 1996, and the Ph.D. degree from the Department of Computer Science and Engineering, Indian Statistical Institute, Kolkata, India, in 2005. Currently, he is working as a professor in the Department of Computer Science and Engineering, IIT Kharagpur. He has supervised eight Ph.D. students and 12 M.S. students (by research) on different issues related to AI and machine learning. His research interests are machine learning, data mining, pattern recognition, information retrieval, and image processing. As a part of publications, he has 40 journal articles, 7 chapters, 3 books, 100 conference proceedings, 3 reviews, and 2 editorials in his credit.