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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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capture from the atmosphere. Central to this endeavour is the enhancement of gas separation performance in cyclic gas adsorption/desorption processes, achieved through the design and development of 3D
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into electricity grids while maintaining grid stability. Project Description: This project aims to design and prototype a multi-port commercial scale converter for efficient grid integration of photovoltaic
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images of drill cores and cuttings. They will be involved in dataset acquisition, including core/cuttings preparation, imaging, and labelling. Computer vision algorithms, such as R-CNN, YOLO, SSD, will be
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from bauxite ores via the Bayer process. However, Australian bauxite ores contain high content of organics, which, if not effectively managed, can impact the Bayer process and alumina product quality. A
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the design of experiments to test the properties of teleconferencing settings, the most obvious being latency, bandwith, size of head images on screen, image quality, sound quality, alignment of eye gaze
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(AVs) Technology has seen a paradigm shift in the transportation, military, and logistics industries with many people excited about the efficiency and convenience that AVs will bring into our lives
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video as it does not require wearing a device and remebering to charge it and so on. But computer vision-based falls detection in the elderly can be problematic due to false privacy concerns, cost, and
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criteria This project is ideal for a candidate with a sound background in astronomy, image processing or data science. Application process If this project excites you, and your research skills and experience
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and are not always reliable when applied to shark cartilage. This is because the growth, repair and remodelling process in lower vertebrates is poorly understood. This project will allow you to overturn