Overview
- Presents the connect between AI and IoT for a better society, using real-world examples
- Highlights novel solutions to societal problems along with the challenges in the application of AI and IoT to solve them
- Discusses the adverse attacks on Machine Learning models and how to protect sensitive data over the IoT networks
Part of the book series: Advanced Technologies and Societal Change (ATSC)
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About this book
This book highlights the connections between two technologies: artificial intelligence (AI) and Internet of things (IoT). It presents the application of these two technologies to solve various societal problems related to healthcare, agriculture, green environment, renewable energies, smart cities, etc. Each chapter in this book presents novel solutions to these problems along with the challenges in the application of AI and IoT to solve them. It discusses the adverse attacks on machine Learning models and how to protect sensitive data over the IoT networks. It also includes the security issues in IoT and their possible solutions.
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Keywords
Table of contents (16 chapters)
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Front Matter
Editors and Affiliations
About the editors
Dr. Shyamapada Mukherjee is a researcher at the National Institute of Technology Silchar, India. He obtained his PhD from NIT Durgapur, India, in 2015. His research interests include algorithms for VLSI design, satisfiability checking, Internet of Things, and intelligent systems.
Dr. Naresh Babu Muppalaneni is currently working as Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Silchar. He received his M.Tech. from Andhra University and Ph.D. from Acharya Nagarjuna University. He has published more than 30 papers in different International journals, book chapters, conference proceedings, and edited research volumes. He has published 5 volumes in Springer Briefs in Forensic and Medical Bioinformatics. He is Fellow of IETE, Life Member of CSI, Member of ISCA, and Senior Member of IEEE. He is a recipient of Best Teacher Award from JNTU Kakinada. He has completed research projects worth of 2 crore rupees from DST, DRDO. He has organized 6 International Conferences and 4 Workshops. His research interests are artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, social network analysis computational systems biology, bioinformatics, and cryptography.
Dr. Sukriti Bhattacharya received his Ph.D. in Computer Science from Ca’Foscari University of Venice, Italy, in 2011. Since then, he has been working in different universities and research institutes and has also been engaged to create linkage between industry and academia. Currently, Dr. Bhattacharya works as an associate in the Department of the IT for Innovative Services (ITIS), Luxembourg Institute of Science and Technology (LIST). His research interests are in the areas of program verification and analysis, formal methods and most aspects of system security, in particular, the areas of binary and malware analysis (Windows & Android), reverseengineering, and computer forensics. His current research focuses on the efficient parallel processing, toward a semantics-based profiler for detecting scalability bottlenecks in existing code-bases and its application on GIS-based applications.
Dr. Ashok Kumar Pradhan is currently working as an assistant professor in the Department of Computer Science and Engineering, School of Engineering and Applied Science at SRM University, Amaravati, AP. His areas of interest and research include optical communication and networks, Internet of things, blockchain, cloud computing, and algorithm design and analysis.
Bibliographic Information
Book Title: Intelligent Systems for Social Good
Book Subtitle: Theory and Practice
Editors: Shyamapada Mukherjee, Naresh Babu Muppalaneni, Sukriti Bhattacharya, Ashok Kumar Pradhan
Series Title: Advanced Technologies and Societal Change
DOI: https://doi.org/10.1007/978-981-19-0770-8
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: 978-981-19-0769-2Published: 12 June 2022
Softcover ISBN: 978-981-19-0772-2Published: 12 June 2023
eBook ISBN: 978-981-19-0770-8Published: 11 June 2022
Series ISSN: 2191-6853
Series E-ISSN: 2191-6861
Edition Number: 1
Number of Pages: XVIII, 205
Number of Illustrations: 22 b/w illustrations, 102 illustrations in colour
Topics: Cyber-physical systems, IoT, Professional Computing, Artificial Intelligence, Machine Learning, Computational Intelligence