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Field
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engineering, clinical research, and AI-driven health monitoring. This project will explore large-scale maternal datasets—combining clinical cardiovascular assessments with wearable sensor data—to detect early
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. The project delves into areas such as hardware-based security measures, tamper detection, and the integration of explainable AI models within embedded platforms. Situated within the esteemed IVHM Centre and
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, offering a consistent, objective, and transparent framework for evaluating circularity performance. Most crucially, it facilitates the identification and evaluation of resource recovery opportunities
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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Project details Early detection of cognitive decline allows identification of those at high risk of developing dementia when medical treatments may be effective in preventing disease onset. Our
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Language Model, or Artificial Intelligence be used? The impact of this research will be to enable practitioners and the stakeholders of systems models to make objective assessment of model qualities using
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, and coordination of aerial missions within regulated airspace. These models will support multi-objective optimisation across key dimensions such as time, safety, cost, and coverage. As the research
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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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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