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models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques
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Research Collection. The Scholar will conduct computer-based mapping of the osteocyte lacunocanalicular network within bone from young and aged bone imaged by confocal laser scanning microscopy. The
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advanced optical materials and nanotechnology to unleash the full potential of structured light in optical and quantum information processing. Our developed photonic devices and systems have significant
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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revolutionized the field of artificial intelligence, leading to remarkable advancements across many applications ranging from image classification to natural language processing. Despite these successes
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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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involves sending mean, vulgar, or threatening messages or images, posting sensitive, private information and/or lies about another person to make that person look bad, and intentionally excluding someone
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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This project will seek to further the research into and development of machine learning techniques that may be used to triage, classify, and otherwise process material of a distressing nature (such
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, Melbourne. We are seeking PhD candidates interested in developing methods to assist the formative assessment and improvement of collocated teamwork, by making multimodal activity traces visible and available