Structured into thematic sections, the book covers Social Computing, High-Performance Computing, Network Science, Smart Computing, and Intelligent Communications. Key chapters explore deep learning for autonomous vehicles, AI-driven healthcare diagnostics, graph theory for cybersecurity, edge computing in IoT, and reinforcement learning for generative AI. Case studies highlight innovations such as myelin segmentation in pediatric MRI, personalised marketing AI, and secure password generation with multi-factor authentication. Contributions from global experts offer a balanced blend of theoretical rigour and applied research.

Key Features:

-Comprehensive coverage integrating CI concepts with emerging trends like generative AI and edge computing.
-Real-world case studies demonstrating CI’s transformative potential in industry.
-An interdisciplinary approach connecting computer science, engineering, and healthcare.
-Practical methodologies for researchers and implementable strategies for practitioners.