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This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the environment. Specifically, we’ll design novel data modelling and indexing
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Project description: Nowadays, data-driven machine learning algorithms are well suited to solve real-world problems that require high-level prediction accuracy. However, it seems as if nothing beats
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the specified deadline. If you are a new applicant, you must first receive an invitation to apply from the relevant faculty before beginning your application. For more information visit our website or contact
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. Crank Group will provide re-identifiable, de-identified demographic information, NDIS plans, coaching transcripts and other datasets from their Crew members to enable the development of AI-augmented
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first receive an invitation to apply from the relevant faculty before beginning your application. To apply and find more information visit our How to Apply website or contact our Graduate Research
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submitted by the specified deadline. If you are a new applicant, you must first receive an invitation to apply from the relevant faculty before beginning your application. For more information visit our
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promises to enhance feedback practice by providing real-time data and insights into learning behaviour and outcomes, so as to inform educational interventions. However, the feedback loop remains open without
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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the research, development, deployment ,and use of AI systems in law enforcement (LE). A major focus is expected to concern the acquisition, use, sharing and governance of data for AI in this context. The Faculty
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development process for DL, covering requirement analysis, data collection and labeling, data cleaning, network design, training, testing, and operation. Required knowledge deep learning, natural