Introduction
With contributions from leading researchers and industry experts, this book examines cutting-edge applications, integration models, and sustainable solutions across sectors including finance, agriculture, healthcare, IoT, and smart cities.
Chapters cover blockchain-enabled fintech operations, fraud detection, deep learning–driven intrusion detection, AI-enhanced smart contracts, and data-driven healthcare innovations. Case studies, methodologies, and future-oriented insights demonstrate how these technologies can foster secure, efficient, and sustainable ecosystems. By bridging theoretical foundations with practical implementations, this book offers readers a roadmap to navigate the opportunities and challenges shaping the next generation of intelligent, blockchain-powered systems.
Key Features
- - Integrates blockchain with machine learning for real-world applications.
- - Applies advanced analytics, automation, and AI models to enhance blockchain ecosystems.
- - Develops secure solutions in fintech, agriculture, healthcare, IoT, and smart cities.
- - Evaluates case studies and frameworks addressing challenges and vulnerabilities.
- - Explores sustainable, future-ready trends shaping intelligent systems.
Readership:
For researchers, graduate students, and academicians in computer science, IT, and data science, as well as industry practitioners, fintech innovators, and blockchain developers.