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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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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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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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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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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
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Website https://www.swansea.ac.uk/postgraduate/scholarships/research/history-ahrc-phd-arts-2024-rs595.php?utm_source=euraxess&utm_medium=scholarship&utm_campaign=postgraduate24&utm_content=pgr Street
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transmitter and position of the IMD inside the human body, the operating frequency and its effect on the body’s tissue, and size of the WPT system are some of the major considerations. Therefore, the research
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essentially 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