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resilient to future change. This project will evaluate potential future land use configurations in several countries, exploring where and how biomass production can support multiple objectives for a
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optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
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Vehicles (UAVs, or “drones”) to scout ahead of a vessel, thus increasing its detection range and allowing more time to effectively react Ultra-fine image spatial resolution: Allowing smaller objects to be
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hardware design, and build in fault detection and correction to ensure secure, efficient operation in space systems. The outcome will be a high-performance, fault-tolerant Falcon implementation, enhancing
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of the challenges is fault detection and diagnosis of bearings subject to low (rotational) speed. As vibration/acoustic signals generated by the faults of low-speed bearings are very weak and often covered by strong
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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and in this project we research two possible explanations which are: 1) difficulties combining visual elements like colours and shapes that belong to one object (apperceptive agnosia), or 2
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can enable real-time monitoring of cleaning efficiency Key objectives include: Developing high-quality optical fouling detection Correlating water quality parameters using existing monitoring sensors
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using thermographic Non-Destructive Testing (NDT), a critical method for ensuring aircraft safety and reliability. NDT is increasingly vital in the aviation sector, enabling the detection of hidden
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therapies to reduce RILF and improve treatment outcomes. Objective 1: Develop multimodal imaging with bioluminescence and contrast-enhanced CT to visualise liver and brain tumours for precise SARRP-guided