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This book provides a cross-disciplinary framework for addressing the competing priorities of modern infrastructures, including cost, efficiency, and security, by integrating Operations Research with Machine Intelligence. The book offers a structured exploration of intelligent modeling and predictive analysis aimed at improving system resilience and promoting informed decision-making. Readers will find practical applications of computer vision and machine learning across a range of domains, including intelligent energy systems and digital twins. By combining hybrid methodologies with real-world use cases, Computing, IoT, and Data Analytics engages with current challenges in Internet-of-Things (IoT) security, pattern recognition, and autonomous communication networks. Engineers, researchers, and applied scientists will find in this volume useful frameworks for translating advanced computational methods into efficient systems that can be applied in practice.