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clinicians’ administrative burden by developing intelligent natural language processing (NLP) systems that can autonomously complete medical forms. The research will design “agentic” NLP models capable
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rework, waste, and delays. This project tackles that challenge by developing camera-based process monitoring system that observes the weld in real time, detects and predicts anomalies as they emerge, and
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, the student will apply drone imaging, AI analytics, and simulation tools to support more sustainable and circular agriculture. They will collaborate with farmers, engineers, and policy experts to create
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how the artificial joint is positioned. Small changes in placement can alter how the joint moves, the forces it experiences, and ultimately how long it lasts. However, current imaging and planning
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, strong, and suitable for medical use. Once produced, the stents will be tested for their integrity. By combining medical imaging, advanced computer modelling, and modern manufacturing, this research will
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, resilient, and energy-positive vertical farming prototype that contributes to net-zero community infrastructure. The key Objectives of this project are 1. System design 2. Innovative Technologies
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learning process. The research will develop a Human-in-the-Loop Adaptive Learning (HILL) framework that combines active learning, reinforcement learning with human feedback, and explainable AI techniques
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how these techniques can support energy-efficient learning mechanisms while also maintaining strong security. A key outcome will be an FPGA prototype demonstrating a small neural network with secure
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. Theoretically the uptake of an antibiotic bound to a pheromone into VRE would allow direct transport of the antibiotic to the intracellular region inducing cell death. This approach may be utilised to treat
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frameworks (Burgess, 2019), the research approaches regeneration as both an ecological process and a culturally embedded design practice. It asks how textile design can operate as a form of rural