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This book provides a robust, cross-disciplinary framework for balancing the competing priorities of modern infrastructure—cost, efficiency, and security—by integrating Operations Research with Machine Intelligence. The book delivers a systematic exploration of intelligent modeling and predictive analysis for system resilience. Readers will find practical applications of computer vision and machine learning across diverse domains, including the energy internet, power Cyber-Physical Systems (CPS), and digital twins. By blending hybrid methodologies with real-time use cases, Computing, IoT and Data Analysis addresses critical challenges in IoT security, pattern recognition, and autonomous communication networks. Engineers, researchers, and applied scientists will find actionable frameworks here for translating advanced computation into efficient, industry-ready systems.
