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Field
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collaboration between the OU and Teledyne e2v (T-e2v), a world-leading manufacturer of scientific and industrial image sensors. The CEI is dedicated to conducting research into advanced imaging technologies
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Interplay between Algorithms and Combinatorics
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Environment Research Council (NERC) at the University of Surrey. Accurately measuring greenhouse gas emissions from human activity is challenging. Static sensors only measure one point in space, but sensors
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quality, and real-time AI performance. This research hub, tackles the intricate challenges of cyber-disturbances and data quality in Edge Computing (EC) environments supporting AI algorithms. The role
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of the fingers, and the positions of tactile sensors), and the control policy for that hand, when given a particular task or set of tasks. Through this, we aim to develop a framework that can automatically
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sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
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Environment Research Council (NERC) at the University of Surrey. Accurately measuring greenhouse gas emissions from human activity is challenging. Static sensors only measure one point in space, but sensors
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-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
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with Robots” funded by the UKRI Natural Environment Research Council (NERC) at the University of Surrey. Accurately measuring greenhouse gas emissions from human activity is challenging. Static sensors
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of multimodal imaging techniques, such as computer vision and hyperspectral imaging, alongside Internet of Things sensors that will continuously monitor critical parameters such as temperature, humidity and food