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is strongly influenced by the ingress of chloride ions, particularly in marine environments and regions where de-icing salts are used. As chlorides penetrate concrete and accumulate at the depth
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of autonomous mobile robots (AMRs) and automated guided vehicles (AGVs) is transforming modern manufacturing, warehousing, logistics, and smart factory environments. Accurate indoor positioning remains a critical
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architectures capable of operating in changing environments and supporting future cognitive radio systems. This project aligns with global research priorities in next-generation communications, energy-efficient
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to develop an AI-enhanced Digital Twin framework for predictive maintenance and energy optimization in industrial environments. The research will investigate the integration of Industrial Internet of Things