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Tracking of Cognitive Load to Assess Human Factors During Inspections Many industries are relocating workers from hazardous environments to supervisory rooms, where they need to engage with automated systems
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Using a Large-Scale Human-In-The-Loop Bayesian Active Learning Approach (Ecstatic) The Comparative Judgment (CJ) method, which has gained traction in UK schools over the past decade, involves assessors
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the robot has made a mistake, in real time and without delay. To build these SLU algorithms, the project will involve collecting data with pairs of human participants in a Virtual Reality environment. The
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. The Tentacle arm and the human-picker are supposed to cooperate, with the arm assisting the picking process while the human-picker carries the arm throughout the plantation. By leveraging the unique capabilities
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focus of this project. Both UT and XCT techniques can produce large 3D datasets that can be challenging to interrogate for human experts to fully analyse. Small defects or anomalies may be missed when
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very efficient and powerful to decipher the relationship between many entangled mechanisms. Many computational models of tumour growth have been developed over the past 20 years to understand
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Cardiomyocyte Dynamic Network Analysis with Machine Learning (Ecidna-ML) This project represents a new approach to map dynamical interactions in networks of human cardiac cells. Network dyssynchronisation is a
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potential moderating/mediating variables such as reproductive stage, time of day, individual/group format and type of exercise in the relationship between women’s exercise motivation, exercise engagement
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no individual is disease-free. As such, drug discovery research is focusing on potential interventions that enhance the human health span. One area of research focus is on the reversal of cellular senescence
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the history of the first fifty years of the Goodwill Message, analysing how visions of peace were articulated in the face of international turmoil and questioning how young people appear in the historical