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, operability and performance. This applies to podded as well as embedded propulsion systems. The standard approach to measure intake flow distortion is to use a relatively small number of total pressure probes
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supply chain resilience. Following a PhD‑by‑papers route, the research aims to deliver three high‑quality scholarly outputs and develop insights to enhance supply chain management practise. This project
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is optimally placed to improve the overall defence performance of a distributed counter-drone capability. The use of a multistatic radar network can potentially provide a significant improvement in
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent
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conditions. However, these changes are more often reported under quasi-static loads. The use of imaging is quite effective to determine the changes in elastic and thermal properties of materials; but still
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generation, shipping and oil & gas industry. Gas turbines typically operate at very high temperatures. The material advancements and use of latest cooling mechanisms have led to even greater operating
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cost-effectiveness of forever chemicals removal from water. The model will use experimental data gathered during the project through testing. The successful candidate will work closely with the project
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intelligent systems aim to optimize power usage without compromising performance, employing strategies like power-aware computing and thermal-aware optimization. These systems are crucial in extending