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multiple objectives in real-time. The complexity of coordinating these distributed systems while ensuring stability and optimal performance presents a significant technical barrier that must be overcome
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multiple objectives in real-time. The complexity of coordinating these distributed systems while ensuring stability and optimal performance presents a significant technical barrier that must be overcome
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refine simulation tools and machine learning solutions to advance stroke treatment. This involves improving existing computational models that simulate cerebral blood flow, oxygen distribution, and brain
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(AI) to process vast amounts of real-time data. Traditional AI models follow a central data collection approach, where raw data from multiple vehicles is continuously transmitted to a remote server for
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guaranteeing a stable state and constant internal confinement pressure in the FRP tube. This will be monitored by hoop strain monitoring with the aid of novel embedded distributed fibre optic sensors (DFOS) in
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Digital-Twinning of Electric Propulsion Systems Applications are invited for the above multiple research studentships to join the Power Electronics, Machines and Drives Research Group