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Infrastructure systems are becoming increasingly interconnected, intelligent, and data-driven as communities respond to rapid urbanization, climate change, and growing demands for resilience. Artificial intelligence is playing a central role in this transformation by enabling infrastructure to operate more efficiently, respond to changing conditions, and support better decision-making. From transportation and energy systems to buildings and public utilities, AI is helping organizations improve performance while addressing challenges related to sustainability, reliability, and resource management. At the same time, the growing dependence on intelligent infrastructure raises important questions about governance, cybersecurity, interoperability, and long-term resilience. Understanding how AI can strengthen critical infrastructure while supporting sustainable development has become an important priority for researchers, practitioners, and policymakers. AI-Driven Innovations for Smart and Resilient Infrastructure explores the application of artificial intelligence in the design, management, and optimization of next-generation infrastructure systems. Bringing together theoretical perspectives, applied research, and real-world case studies, this book highlights innovative solutions for addressing complex infrastructure challenges while supporting informed decision-making and long-term planning. Covering topics such as climate-resilient infrastructure, metaheuristic optimization approaches, and resilient coastal municipalities, this book is critical academic resource for graduate and doctoral students, civil engineers, infrastructure planners, construction professionals, smart city researchers, urban planners, AI developers, data scientists, policymakers, and more.

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