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on leveraging machine learning and generative AI techniques for proactive mental health monitoring. The project comprises three primary research packages that address distinct aspects of the overall goal
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machine learning to identify meteorites in aerial imagery, with great success, and recovered multiple meteorites using a UAV. This project will build on this success, by extending the drone approach to new
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on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection
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their learning journey by providing personalised assistance, answering questions, explaining complex concepts, and offering context-specific study resources. Anecdotally, we know that students are using ChatGPT in
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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
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of Artificial intelligence and machine learning Knowledge with Python or Matlab Application process If this project excites you, and your research skills and experience are a good fit for this specific project
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, power, IT, or computer engineering students eligible to enroll in a PhD by research degree Eligibility criteria Full-time enrolment Successful recipient will collaborate with our industry partner in
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The Planet Positive Scholarship will provide the following support: Up to $5,000 paid direct to student tuition fees Access to the learning community to enhance the student experience - Extracurricular
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intelligence, Machine learning, and Computer vision for subsurface characterisation This project aims to develop computer vision applications for geological characterisation using state-of-the-art AI/ML methods
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, Machine Learning, and Software Engineering. The HPIS group consists of leading computer science experts and works closely with different industries, e.g., Australian Defence, Governments, Software