Introduction
This book explores the evolving role of Artificial Intelligence (AI), pervasive intelligence, and intelligent computing in transforming modern digital systems and industries. It highlights how technologies such as machine learning, data mining, evolutionary optimisation, and the Internet of Things (IoT) are enabling smarter, adaptive, and data-driven solutions across sectors.
Through twelve chapters, the book combines theoretical concepts with practical applications, covering areas such as human-computer interaction, affective computing, reinforcement learning, cybersecurity, and smart industrial systems. It also examines real-world applications, including smart manufacturing, agriculture, robotics, and AI-driven Industry 4.0 innovations, concluding with advancements in AI-enabled additive manufacturing.
Key Features
- - Comprehensive coverage of AI, IoT, and intelligent computing technologies.
- - Blend of theoretical foundations and practical applications.
- - Focus on Industry 4.0, smart systems, and data-driven decision-making.
- - Applications in cybersecurity, agriculture, robotics, and manufacturing.
- - Insights into optimisation techniques and adaptive algorithms.
Target Readership:
Researchers, academics, postgraduate students and professionals in AI, computer science, and engineering.