This book highlights the connections between two technologies: artificial intelligence (AI) and Internet of things (Io T). 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 Io T to solve them. It discusses the adverse attacks on machine Learning models and how to protect sensitive data over the Io T networks. It also includes the security issues in Io T and their possible solutions.
Innehållsförteckning
Chapter 1 – ML in WSN Using Io T for Smart Cities: A Survey (Piyush Raja).- Chapter 2 – Prospects of ‘SMART Farming’ in Cold Arid Region of Ladakh, India (S. Angchuk, Aleem Ali).- Chapter 3 – Integration of Artificial Intelligence and Io T on Agricultural Applications (Yaswanth Bhanu Murthy M, Sk.Enaul Haq, Koteswararao Anne, Sunil Babu M).- Chapter 4 – Internet of Things based Smart Transportation System for Smart Cities (E. Fantin Irudaya Raj, M. Appadurai).- Chapter 5 – Faceify : Intelligent System for Text to Image Translation (Shyamapada Mukherjee, Satya Sanjay Nath, Gobind Kumar Singh, Sumanta Banerjee).- Chapter 6 – Li Fi Technology: A Breakthrough for Massive Data Rates in Indoor Applications (Rahul Sharma, Devendra Singh Gurjar, Elvis Rahman, Aditya Raghav, Pranjal Shukla, and Vivek Mishra).- Chapter 7 – Fuel Larceny and Leakage Indication System using Io T (Prasanna Palsodkar, Prachi Palsodkar, Aniket Gokhale, Prabhakar Dorge, Ajay Gurjar).- Chapter 8 – Io T Applications for Health Care (Shiva Agarwal).- Chapter 9 – Smart Healthcare Remote Monitoring System using Internet of Things (Shyamapada Mukherjee, Rahul Kumar, Sumanta Banerjee).- Chapter 10 – Data Privacy in Io T Network using Blockchain Technology (Tamar Das, Shyamapada Mukherjee).- Chapter 11 – Interval-valued fuzzy parameterized multi fuzzy N-soft set in decision-making (Ajoy Kanti Das and Carlos Granados).- Chapter 12 – An innovative approach to fuzzy soft set based investment framework using machine learning algorithm (Ajoy Kanti Das and Carlos Granados).- Chapter 13 – A Design and implementation of Ring Oscillator Physically Unclonable Function using the Xilinx FPGA (Swati Kulkarni, Vani R.M., P.V. Hunagund).- Chapter 14 – IOT based Automated Fish Tank (Yashika Gaidhani, Manisha Waje, Monica Kalbande, Tejswini Panse).- Chapter 15 – Cloud Based Examination Hall Authentication System using fingerprint module (Monica Kalbande, Yashika Gaidhani, Tejswini Panse, Mahadev Mahajan).- Chapter 16 – Pandemic Surveillance through Perspective Transformation Using YOLO and Mobile Net (Prachi Palsodkar, Prasanna Palsodkar, Yogita Dubey, Roshan Umate).
Om författaren
Dr. Shyamapada Mukherjee is a researcher at the National Institute of Technology Silchar, India. He obtained his Ph D 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.
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