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study the underlying theory, using the framework of Evolutionary Game Theory and build models for concrete applications based on this theory [2]. The ultimate goal of this project is to develop new
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. Machine learning has been found to introduce and perpetuate discriminatory practices by unintentionally encoding existing human biases and introducing new ones. In this project, we will develop automated
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The use of AI in law enforcement and judicial domains requires consideration of a number of ethical issues. This project will investigate and develop frameworks that embed ethical principles in
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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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Discovery Project, this research aims to develop highly novel physics-informed deep learning methods for Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image
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This practice-based research involves further development of the AirSticks, a hardware/software package which allows the triggering and manipulation of sound and visuals in a 3D playing space, as a
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developing ‘digital feedback literacy’ among learners, understanding how technology shapes feedback pedagogy, and exploring areas where learning and teaching in the digital age can be supported by technology
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This project will investigate and develop the ways in which AI algorithms and practices can be made transparent and explainable for use in law enforcement and judicial applications The Faculty
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As a pregnancy approaches term (the point at which the foetus is considered fully developed), decisions are made about the timing of birth and the way babies are born. These decisions are incredibly
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placements and simulated placements. To date, our team of practice educators have worked with occupational therapy students to facilitate their learning and development within aged care facilities