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Field
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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standard for testing the radiant efficiency of low temperature radiant heaters (BSEN 60675-3 (2021)) does not consider human thermal comfort. Humans are radiant objects. More than 60% of the sense of comfort
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required in order to better understand the mechanism of the action of plant active compounds such as essential oils on the rumen microbiome, especially under different dietary regimes. Objectives and
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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for constraining the spin of the compact object being lensed which will involve both theoretical and computational modelling. If you wish to discuss any details of the project informally, please contact: Prof
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interview system for university admissions. This project aims to improve the fairness, efficiency, and objectivity of student selection by reducing bias and subjectivity inherent in traditional interviews
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process is poorly recorded and needs improvement. Aims and Objectives In collaboration with the Health Innovation Partnership, a modelling pipeline will be devised to cope with the challenges of data
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training, as well as research activity support grants. Due to funding stipulations set by UKRI, we are only able to recruit home applicants for this opportunity. You can find further details https
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discover therapeutic targets relevant to Welsh populations. You’ll also help translate your computational insights into lab-based validation using experimental models, paving the way for new diagnostics and
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compliance and operational integrity. The application of AI in these areas enhances the ability to predict system behaviours, detect anomalies, and streamline certification workflows. AI-driven tools can