Artificial Intelligence and Digital Twin-Based Big Data Analytics for Blockchain-IoT Enabled Applications

Preface

Acknowledgement

Section 1: Basic and Fundamentals 

1. Digital Twins in the Era of IoT and AI

Megha Singh and Amit Kumar Tyagi

2. Advanced Analytics with AI and Machine Learning

S. Durga Devi, R. Ravinder Reddy, Satyanarayana Nimmala, Ravi Uyyala and M. V. Krishna Reddy

3. Big Data Analytics in Modern Technologies

A. S. Renugadevi, R. Jayavadivel, A. Vennila, C. Subbulakshmi, C. Thozhamairaj and K. E. Premkumar

4. Role of Smart Finance and Management in the Industry 5.0 Era

Prathap B. N., Devaraju N., Kiran Kumar M. and Amit Kumar Tyagi

5. Blockchain-Enabled Examination Integrity: Guaranteeing Transparency and Security

Naghul Pranav K. R. and Divya Mohan

Section 2: Methods and Principles

6. Big Data Architectures for Blockchain-IoT Systems

E. Padma Latha, R. Ravinder Reddy, C. Madan Kumar, M. V. Krishna Reddy and Y. C. A. Padmanabha Reddy  

7. AI-Driven Data Processing and Decision-Making: Machine Learning in Internet of Things

S. Anitha Elavarasi, J. Jayanthi and G. Kirubasri

8. Leveraging AI to Examine Cultural Familiarity as a Moderator in the Price–Purchase Link: Insights from Vietnamese Consumers of Korean Cosmetics in the Era of Hallyu

Tran Thi Ngoc Oanh and Bui Huy Khoi

9. Industry 5.0 and Smart Economy: A Managerial Perspective

Archana Ambekar, Leelavathi S., Kiran Kumar M. and Amit Kumar Tyagi

Section 3: Applications and Use Cases

10. Forecasting Humidity Saturation for Climate-Resilient and Sustainable Agriculture in Africa’s Arid Farmlands Using Machine Learning

Tamsangqa Benson Lubasi and Nikodemus Angula 

11. Emerging Technologies for Smart Banking and Financial Systems for Modern Era

Prakruthi N. Udupa, Anusha K. M., Suma B. R. and Mansi Kukreja

12. E-Waste Management in Communication Technology: AI Integrated Bioleaching

M. Kanchana, Bhargava Satya Himank Chinni and Prathap Mani  

13. Machine Learning-Enabled Digital Twins For Diagnostic and Therapeutic Purposes

Nandini Manickam, Vijayakumar Ponnusamy, Emilija Kisic and Nemanja Zdravković  

14. Next-Gen Financial Management: Smart Systems and Industry 5.0 Integration for a Sustainable World

Kiran Kumar M., Shilpa A. C., Shreelatha H. R. and Chidambaram N.

Section 4: Open Issues and Future Opportunities 

15. Industrial IoT Transformation in Aircraft Manufacturing and Maintenance, Repair, and Overhaul Operations

Vineet Bhatia, Sumati Sidharth, Varsha Bhatia, Bhavesh Bhatia and Vivek Jaglan  

16. Digital Twins Enabled by AI and the Internet of Things for Intelligent Cities and Ecologically Designed Ecosystems

M. Ramprasath, Elangovan G., Prakash Duraisamy, V. Kavitha and V. Arun  

17. Ethical and Legal Considerations for Artificial Intelligence, Blockchain, and the Internet of Things

Mohan Singh, Seema Singh, Kapil Dev Tyagi and Vaibhav Bhushan Tyagi  

18. Future of AI-based Applications in Education Sector: Challenges and Scope

Perarasi T. and Manoj R.

19. Theoretical Foundations of Digital Twins for Predictive Intelligence in IoT-Driven Healthcare Ecosystems

Sonam Gupta, Pradeep Gupta, Malik Shahzad Ahmed Iqbal and Vikash Yadav

20. Strategic Management in the Smart Era: Industry 5.0 and Digital Finance

Shilpa A. C., Kiran Kumar M., Soujanya L. and Saravanapriya M.

21. AI Enabled Smart Banking Systems: An Analysis from Society’s Perspective

Aswatha Kumar, Chidambaram N., Smrity Prasad and Amit Kumar Tyagi

Index

Biography

Amit Kumar Tyagi is an Assistant Professor, at the National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. He has previously worked as an assistant professor at several institutes like Lord Krishna College of Engineering (LKCE), Ghaziabad (July 2009-July 2010, and October 2012- October 2013), Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad (September 2018-May 2019), VIT Chennai (June 2019-November 2022) and NIFT New Delhi (November 2022-September 2025). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a senior member of IEEE.

Shabnam Kumari is a Ph.D. scholar in the Department of Computer Science, Faculty of Science and Humanities, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. She has more than 3 years of experience including teaching, research and other areas. She has completed her MCA from YMCA University of Science and Technology, Faridabad. She has filed more than five national and international patents in the area of IoTs, Machine Learning, Deep Learning and Wireless Network. She has published over twenty research articles in International Conferences and Journals. Her areas of interest include Machine Learning, Deep Learning, and related fields. She is a lifetime member of ACM-Women and SCRS.