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Though portable IR sensors exist in the market, there is no system currently in place to use these sensors to perform active thermography inspection. This PhD project aims to develop a IoT based
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This is an exciting opportunity for a fully funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University, to develop an autonomous multi-robot system
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This PhD project aims to develop a deep learning based method to improve the resolution of images and videos based on public dataset and experimental dataset. High-resolution (HR) images and videos
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This PhD project aims to develop a novel modelling framework of mechanical component lifecycle for better RUL prediction in terms of uncertainty estimation and reduction. Remaining useful life (RUL
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depends on a large amount of good-quality data. Unfortunately, the availability of good-quality data is typically limited for high-value critical assets. To remedy this gap, this PhD project will focus
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the baseline mechanical/physical material properties and joining technologies at the micro- and macro-scale of High Hard Steel. To develop a criteria of failure for the materials selected. This will involve
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, including, for example, defence engagement, conflict resolution, gender studies, humanitarian and relief operations, international conflict and security law, defence budgeting and public finance. PhD
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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well as their application to a series of cases studies according to Dstl’s interest. This PhD work will be sponsored by the Engineering and Physical Sciences Research Council (EPSRC) and the Defence and Science Laboratory
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of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing