Preface
Section 1: Basic and Fundamentals

1. Digital Twins in the Era of IoT and AI
2. Advanced Analytics with AI and Machine Learning
3. Big Data Analytics in Modern Technologies
4. Role of Smart Finance and Management in the Industry 5.0 Era
5. Blockchain-Enabled Examination Integrity: Guaranteeing Transparency and Security

Section 2: Methods and Principles

6. Big Data Architectures for Blockchain-IoT Systems
7. AI-Driven Data Processing and Decision-Making: Machine Learning in Internet of Things
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
9. Industry 5.0 and Smart Economy: A Managerial Perspective

Section 3: Applications and Use Cases

10. Forecasting Humidity Saturation for Climate-Resilient and Sustainable Agriculture in Africa’s Arid Farmlands Using Machine Learning
11. Emerging Technologies for Smart Banking and Financial Systems for Modern Era
12. E-Waste Management in Communication Technology: AI Integrated Bioleaching
13. Machine Learning-Enabled Digital Twins For Diagnostic and Therapeutic Purposes
14. Next-Gen Financial Management: Smart Systems and Industry 5.0 Integration for a Sustainable World

Section 4: Open Issues and Future Opportunities

15. Industrial IoT Transformation in Aircraft Manufacturing and Maintenance, Repair, and Overhaul Operations
16. Digital Twins Enabled by AI and the Internet of Things for Intelligent Cities and Ecologically Designed Ecosystems
17. Ethical and Legal Considerations for Artificial Intelligence, Blockchain, and the Internet of Things
18. Future of AI-based Applications in Education Sector: Challenges and Scope
19. Theoretical Foundations of Digital Twins for Predictive Intelligence in IoT-Driven Healthcare Ecosystems
20. Strategic Management in the Smart Era: Industry 5.0 and Digital Finance
21. AI Enabled Smart Banking Systems: An Analysis from Society’s Perspective
Index