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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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, 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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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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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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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
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designed to augment human intelligence and well-being. This research aims to enable this paradigm shift by upgrading existing Industry 4.0 robotic systems to meet Industry 5.0 standards through
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/backdrops), Post-production VFX (digital extension and repair). Typically spawned from the same initial digital footprint, these processes tend to drift apart. The original high-value digital assets