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A large part of modern life is lived indoors such as in homes, offices, shopping malls, universities, libraries and airports. However, almost all of the existing location-based services (LBS) have
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challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up
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revolutionising the field of temporal analytics. We have refocused the field on methods that are both effective and feasible for non-trivial problems. We received a prestigious best paper award at the SDM data
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of the Rhodes community in Oxford. Eligibility You can find the scholarship eligibility information on our Rhodes Scholarships Queensland applications page. How to apply QUT administers the Queensland Rhodes
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preferences using real-world spatio-temporal traffic data and open-access consumer surveys. We will develop an large-scale optimisation problem for determining the optimal placement and sizing of charging
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In the big-data era, the proliferation of data and the widespread adoption of data analytics have made data literacy a requisite skill for all professions, not just specialist data scientists
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This project concerns the investigation of suitable socio-technical data infrastructure for law-enforcement research and development. International collaboration between law-enforcement agencies
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have done. Should you wish to make a donation to the Dr. Jolyn Tan Memorial Scholarship fund or request for further information, please contact Ashlie Marshall on Ashlie.Marshall@murdoch.edu.au Provider
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university environment may not match the real-world requirements, and while we learn a lot of technical information at university, only a small portion of that is used in a work setting. I knew gaining
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to cloud-based machine learning services, on-device ML is privacy-friendly, of low latency, and can work offline. User data will remain at the mobile device for ML inference. Problems: In order to enable