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for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors, topological insulators), performing high bandwidth and high sensitivity vector magnetic sensing and developing
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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower
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part of the Books for the Vision Impaired and the GraVVITAS frameworks (www.monash.edu/it/inclusive-tech). The project will employ computer vision, image processing and human computer interaction
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There is an opportunity to prototype digital water play systems and examine users’ aquatic body-environment interactions to derive an understanding of digital technology’s opportunities
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This project builds on research in which geo-tagged social network site images are used to determine insect and flowering plant distributions on a continent-wide scale. This work was awarded an "AI
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the opportunity to address the healthcare inequality for the rural and remote. As one of the most important medical imaging modalities, MRI has long been an advantage only for people living in urban cities due
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system to unlock important information from unstructured data sources including X-ray images, surgical and radiology text reports. We will compare prediction models based on existing, routinely collected
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development lifecycle greatly improves its quality and productivity. Here calls for a systematic development lifecycle for the DL systems. Due to the fundamentally different programming paradigm and logic
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narrative to communicate insights (instead of just plotting data). The aim for this PhD is to research, prototype and evaluate approaches to increase the explanatory effectiveness of the visualisations
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as child exploitation material). It will involve the use of deep neural networks for image, video, audio, social network, and/or text classification. The Faculty of Information Technology has a mission