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The swift advancement of smart cities requires effective disaster response systems. This study explores how Fog Computing and Artificial Intelligence (AI) contribute to improving real-time disaster management, with fog computing facilitating rapid, edge-level data processing, while AI aids in predictive analytics and decision-making. Through examples in flood forecasting, earthquake surveillance, and fire detection, we demonstrate the successful implementation of these technologies in smart cities. By addressing existing challenges and looking toward future developments, this research emphasizes the capability of fog computing and AI to establish robust and adaptive frameworks for urban disaster response.
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