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To bridge the knowledge gap, this proposed activity aims to create a 'digital twin' of knowledge regarding the primal leg pieces of beef, lamb, and pork. The digital twin must represent the leg primal in sufficient detail to evaluate yield and speed performances, as well as other factors that...
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the Digital Systems and Intelligent Sensors group (DSIS). within the School of Electrical Engineering, Computing and Mathematical Sciences. DSIS endeavours to utilise technology to assist people with
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managed sanitation, automated toilet systems equipped with IoT sensors, intelligent controls, and real-time monitoring capabilities are essential for addressing this global challenge. This multidisciplinary
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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
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domain knowledge in three core application domains, for which reliable AI methods are most urgently needed: medicine and healthcare, robotics & interacting systems, and algorithmic decision-making. relAI
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. Management and Engineering in Production Systems, M. Sc. Robotic Systems Engineering, M. Sc. Smart Production Engineering, M. Sc. Textile Engineering, M. Sc. Resilient Civil Engineering, M. Sc. Battery Systems
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Mechanical Engineering, M. Sc. Management and Engineering in Computer Aided Mechanical Engineering, M. Sc. Management and Engineering in Production Systems, M. Sc. Robotic Systems Engineering, M. Sc. Smart