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physical and digital spaces. The learning analytics challenge for this PhD is to research, prototype and evaluate approaches to automatically capture traces of team members’ activity, using multimodal
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of a proof-of-concept prototype in partnership with law-enforcement, higher-education, and commercial organisations. It will involve the gathering of multi-stakeholder organisational requirements and the
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the simple equation that more training data = better performance. Learning—in particular, the advanced deep learning methods, like BERT for NLP and ResNet for image processing—often require thousands
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as “range anxiety” are amongst the top barriers to the wide adoption of EVs. This project aims to develop a paradigm for data-driven modelling of EV behavours, optimisation for EV charging station
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and usage of the #SMART on #FHIR software paradigm Involves working with various real world health services and health IT partners #digitalhealth #health #EMR #hospital #software Learn more about