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costs will also be provided. Overview This project explores the design of scalable and privacy-preserving AI systems for pervasive healthcare environments, where embedded devices and dynamic sensor
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. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
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: Identify responder needs; enhance optical detection; develop SAR indicators; fuse multi-sensor outputs using probabilistic methods; quantify performance under realistic cloud scenarios; validate across
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sensitivity to extreme weather, and the cumulative impact of different water users. This uncertainty seriously hampers planning, especially as climate change brings increasingly severe floods and droughts
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of these systems. We lack clarity on water movement, their sensitivity to extreme weather, and the cumulative impact of different water users. This uncertainty seriously hampers planning, especially as climate
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flood extents under different storm surge scenarios, as determined through high-fidelity CFD-DEM simulations? - What is the optimal spatial arrangement (single/multiple lines, angle of incidence) of PBs
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availability/performance are poorly understood. Does the loss of a section of infrastructure cause users to change routes, change modes, change destinations, change departure times, or not travel at all? What
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characteristics, and breakwater geometry influence wave overtopping rates and resulting flood extents under different storm surge scenarios, as determined through high-fidelity CFD-DEM simulations? - What is the
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applicants. Due to the pressing start date, successful international candidates must already have secured funding for the difference between the Home and International tuition fee rates. How To Apply You must
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detection using floor vibrations recorded by high-sensitivity accelerometers. Unlike wearable devices, which rely on user compliance, or cameras, which raise privacy concerns, floor vibration-based sensing