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as child exploitation material). It will involve the use of deep neural networks for image, video, audio, social network, and/or text classification. The Faculty of Information Technology has a mission
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inference and machine learning to develop subject specific mathematical models of the brain that can be used to infer brain states and monitor and image the brain. This work is centred around a
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of learners as they develop. 3. Develop and evaluate a presentation paradigm to enable non-data science savvy users to get actionable insights into the findings obtained through the measurement framework
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Australia. The scholarship was created in honour of Ric (Frederic) Bouvier who was an icon in the evolution of ambulance services and the paramedic profession in Australia. Total scholarship value $10,000
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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