This book presents recent technologies that explore artificial intelligence (AI) and its scope in Internet of Things (Io T) enabled areas for productivity and the betterment of society. The book aims at targeting audiences of several disciplines to share research, suggest solutions, and future trends in the field of AI using Io T. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both aspects to give a holistic understanding of the AI paradigm for Io T. The book focuses on timely topics related to the field of AI enabled Io T applications at large. The book consists of four major parts: fundamentals, theoretical discussion, critical applications, and the learning algorithms. These contents shall include the basics, types, tools, and techniques of AI. Finally, applications of AI enabled Io T in several areas are presented including health, security, climate change, agricultural engineering, bioinformatics, biomedicine, smart applications, natural language processing, social and economic implications of AI enabled Io T, as well as robotics, sustainability, risk management, seismic data processing, smart grid management, text analysis, security, privacy, and ethics.
Table of Content
Introduction.- The intelligence of Things.- Io T and AI for Smart Government.- Artificial Intelligence into Io T for Communication Networks.- E-Agriculture based on AI enabled Io T.- AI enabled Io T in the development of Smart Sustainable Cities.- Secure and Smart Internet of Things (Io T) Using Blockchain and AI.- Edge Machine Learning for AI-Enabled Io T Devices.- Intelligence of Things and 5G to define the technology in next decade.- COVID-19 Driving Data Integration Projects in Io T with AI.- Artificial Intelligence enabled Io T in Healthcare Industry.- AI enabled Io T Devices with physical interfaces to/from the real world.- An Electronic Prescription System powered by AI-enabled Io T using Blockchain Technology.- Real-Time Action and Decision Control using AIIo T.- Healthcare Cybersecurity Challenges with Io T & AI.- Architecture, Design & Procedure for Building Smart, Light weighted Io T Devices with AI.- AI enabled Io T for Data Analytics.- AI enabled Io T in Seismology.- Prognosticate how Io T enabled AI will Impinge on the Future of Fire Systems.- Powerful AI-enabled Io T technique to detects and classifies galaxies in astronomy image data.- Exploring the Marine Mysteries with AI enabled Io T Infrastructure.- Conclusion.
About the author
Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is the associate dean for research and the founding director of the International Research Center for AI and Io T at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Dept., and a leading authority in the areas of smart/intelligent Io T systems, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIo T). His publication history spans over 350 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks’ deployments in smart Io T environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. He has received several recognitions and best papers’ awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as book series editor and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 5.7), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and Io T.
Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Faculty of Information Technology- Duy Tan University, Da Nang, Vietnam. A Certified Professional with 75+ Professional certificates from CISCO, Microsoft, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published 100+ Research Papers in various National International Journals (Scopus/SCI/SCIE/SSCI Indexed) with High Impact Factor. Published 50+ Papers in International Conferences indexed with Springer, IEEE Xplore and ACM Digital Library. Member of more than 50+ Associations as Senior and Life Member including IEEE, ACM. He has authored/co-authored cum Edited 30+ Books of Computer Science. Associated with more than 500+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 10 Australian Patent and 1 Indian Design to his credit in the area of Wireless Communications, Artificial Intelligence, Io T and Image Processing. He is currently working in the area of Wireless Sensor Networks, Io T, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Network Simulation and Wireless Communications. Awarded 30+ Awards for Teaching and Research—Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more. He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled “International Journal of Smart Vehicles and Smart Transportation (IJSVST)”.
Dr V. Ajantha Devi is working as a Research Head in AP3 Solutions, Chennai, Tamil Nadu, India. She received her Ph D from University of Madras in 2015. She has worked as Project Fellow under UGC Major Research Project. She is a Senior IEEE Member. She has been certified as “Microsoft Certified Application Developer” (MCAD) and “Microsoft Certified Technical Specialist” (MCTS) from Microsoft Corp. She has more than 35 papers in international journalsand conference proceedings to her credit. She has written, co-authored, and edited a number of books in the field of Computer science with International and National publishers like Elsevier, Springer., etc. Associated as a member of the Program Committee/Technical Committee/ Chair/ Review Board for a variety of international conferences. She has five Australian Patents and one Indian Patent to her credit in the area of Artificial Intelligence, Image Processing and Medical Imaging. Her work in Image Processing, Signal Processing, Pattern Matching, and Natural Language Processing is based on artificial intelligence, machine learning, and deep learning techniques. She has won many Best paper presentation awards as well as a few Research-oriented international awards.
Piyush K. Shukla received his Bachelor’s degree in Electronics & Communication Engineering, LNCT in 2001, Bhopal, M. Tech (Computer Science & Engineering) in 2005 from SATI, Vidisha, Ph.D. (Computer Science &Engineering) in 2013 from RGPV, Bhopal. M.P. India. He is a member of IACSIT. He has published more than 15 papers in reputated International Journals and 10 papers in International Conferences. At present, he is working as an Assistant Prof. in Department of Computer Science & Engineering, UIT-RGPV, Bhopal Since July 2007.
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