About the Book
This book begins by discussing the fundamentals of Artificial Intelligence, the Internet of Things, and their convergence. It then covers techniques, algorithms, and methods of analysing and processing data over the Artificial Intelligence of Things. The text elaborates on important concepts such as body sensor networks for safety in smart factories, smart energy management, smart robotic assistive systems, and service-oriented smart manufacturing.
This book:
• Discusses the security and privacy aspect of Artificial Intelligence of Things (AIoT) for smart real-time applications.
• Explores challenges and issues of Artificial Intelligence and the Internet of Things in the field of industrial automation.
• Includes case studies in Artificial Intelligence of Things (AIoT) convergence for data processing.
• Showcases algorithms, techniques, and methods of analysing and processing data over the Artificial Intelligence of Things.
• Highlights operation management using human-robot, smart maintenance, and autonomous production.
It will serve as an ideal reference text for senior undergraduate, graduate students, and professionals in fields including industrial engineering, production engineering, manufacturing engineering, operations research, and computer engineering.
Table of Contents:
1. The Emerging Technologies of AIoT: Current Scenario, Challenges, and Opportunities. 2. Convergence of AI with IoT towards Industry 4.0. 3. Issues and Challenges of AI for Industrial Automation. 4. Deep Learning Algorithm and Approaches for Automation. 5. The Role of IoT Devices and AI-based Health Care Monitoring Systems. 6. Revolutionizing Healthcare: Harnessing the Power of AIoT for Smart Wellness. 7. Futuristic Wearable Technologies: A Fusion of ML and AI Capabilities. 8. Role Of IOT In Emerging Areas: Image Processing & Data Analytics Significance In IOT. 9. AIoT Empowerment in Agriculture: Enabling Smart Farming. 10. Security Concerns with IoT: Detecting DDoS Attacks in IoT Environments. 11. Data Privacy and Integrity in Complex Data: Advanced and Secure Case-Based Reasoning. 12. EEG Based Online Finger Movement Identification: An Emerging Assistive Approach.
About the Author :
Divya Mishra is working as a full-time academician from last 16+ years. She has a PhD (Engineering) from Amity University Uttar Pradesh, MTech (Information Security) from Guru Gobind Singh Indraprastha University, New Delhi. She also holds B.Tech (Computer Science & Engineering) from Sant Longowal Institute of Engineering & Technology, IKJPTU, Punjab. She has published 50+ papers in reputed international journals and conferences with Scopus & SCI indexing. She was also appreciated by IEEE Sensors Council for the paper “Application of Non-Linear Gaussian Regression-Based Adaptive Clock Synchronization Technique for Wireless Sensor Network in Agriculture”, IEEE Sensors Journal, Vol. 18, No. 10, May 2018, for paper being one of the 25 most downloaded Sensors Journal papers in the month of February 2019. She is an active member of International societies like IEEE, IAENG and an organizing committee for many international conferences, workshops, and seminars to enhance the teaching-learning process. She is also associated with a project on Cloud Computing Security funded by the International Bilateral Cooperation Division, Department of Science and Technology, MS&T, Govt. of India. She has guided more than 30 students of M.Tech. Her research area includes Networking, cloud computing, Information Security, IoT.
Shanu Sharma is an Assistant Professor in the Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad (Affiliated to A.K.T University, Lucknow). She has a PhD from Amity University Uttar Pradesh and M.Tech (Intelligent Systems) from IIIT Allahabad. She has 13+ years of teaching and research experience and taught various courses at the graduate and under graduate level such as Image Processing, Data Mining, Machine Learning, Data Science, Data Structures, Analysis and Design of Algorithms, and Compiler Design. Her research areas include Cognitive Computing, Computer Vision, Pattern Recognition, and Machine Learning. She has published 40+ research papers in renowned Conferences and Journals and is currently associated with various reputed International Conferences and journals as a Reviewer. She has edited various special issues in Scopus indexed journals published by IGI Global, and Bentham Science. She has edited five books with renowned publishers such as Springer, IGI, CRC Press, and River Publishers. She is a senior member of IEEE and also an active member of other professional societies like ACM, Soft Computing Research Society (SCRS), EUSFLAT, and IAENG.
Alok Kumar Verma is working as a Senior Scientist I at Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science Technology and Research (A*STAR), Singapore. Before joining A*STAR, he was a Research Scientist at the Rolls-Royce Electrical, Nanyang Technological University, Singapore from 2016 to 2020 and a Post-Doctoral Research Fellow at the National University of Singapore from 2015-2016. He received his PhD from the Indian Institute of Technology Patna in 2015. He has published several research papers in reputed journals and conferences and has also been granted three patents for his research. Dr. Verma is also a senior member of international professional bodies, namely IEEE. Presently, he is working as a Tech-lead and PI/Co-PI on several research projects. His research interests include condition & health monitoring, signal processing, data analysis and machine learning.
