Introduction
This book explores cutting-edge methodologies, integration strategies, and secure frameworks that combine AI capabilities with IoT systems to enhance performance, decision-making, and scalability.
Covering a wide range of crucial topics, including AI-driven predictive maintenance, healthcare IoT, smart cities, industrial automation, edge computing, cybersecurity challenges, and real-time data analytics. The book brings forward domain-specific innovations and solutions, illustrating how AI techniques such as machine learning, deep learning, and natural language processing are advancing IoT applications.
Highlighting technical challenges, solutions, and future directions, the book offers practical guidance for researchers and practitioners working on intelligent IoT frameworks.
Key Features:
- - Explore real-world AI-IoT integration strategies
- - Analyze applications in healthcare, smart homes, and industrial IoT
- - Address edge and fog computing frameworks
- - Examine security models and threat mitigation approaches
- - Highlight regulatory and ethical implications
- - Present expert-contributed chapters with case studies
Readership:
Postgraduate students, researchers, industry professionals, and technology developers, aiming to understand the evolving landscape of AI-powered IoT and its far-reaching applications across secure and intelligent environments.