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machine learning, Reliability Engineering & System Safety, Volume 264, Part A, December 2025, 111368 L. Deng, C. Shi, H. Li, M. Wan, F. Ren, Y. Hou, et al. Prediction of energy mass loss rate for biodiesel
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approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in
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Summary Meeting future energy demands requires efficient, low-carbon systems capable of storing and releasing heat when needed. This PhD project aims to develop next-generation latent heat thermal
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-controlled process, weaving through-thickness reinforcements directly into a component. This project will focus on the mechanical performance of tufted, 3D woven and z-pinned CFRP laminates. Key objectives
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collaboration between HCI researchers, healthcare professionals, and computer scientists will ensure robust outcomes, while ethical considerations such as privacy and responsible AI use remain central. In summary
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through the vessels and how diseases like heart blockages or artery wall damage develop. However, most current computer models used to study blood flow treat arteries as if they are rigid and motionless
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mobile health technologies enable the continuous capture of rich, multimodal physiological and behavioural data. These data when analysed with Artificial Intelligence (AI) and machine learning methods can
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intelligence and machine learning methods to improve pregnancy outcomes. Briefings in Bioinformatics, 22(5), bbaa369. De Vivo, M., & Mills, H. (2019). “They turn to you first for everything”: insights