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biodiversity and sustainability research. The initial objective is to use deep learning techniques to perform acoustic species identification in real-time on low-cost sensing devices coupled to cloud-based
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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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focused on its purpose of changing lives through revolutionary learning and research with real impact. Our game changing Southern Cross Model brings a deeper learning experience, improving individual
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everyone is supported to succeed. Learn more about Monash . The Opportunity This is an opportunity to join the Deputy Vice-Chancellor (International) Portfolio at Monash University where you will be central
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Project description: On behalf of the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR), we will establish the role of artificial intelligence (AI) deep learning to improve the prediction
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of the following: Statistics, Machine Learning, Deep Learning, Multivariate Modelling. As well as an interest in personal development, psychology, sociology, economics or something else important in life.
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seismic data continuously over two years. The primary goal of this recording was active seismic monitoring of 15,000 tonnes of CO2 injected into a deep aquifer using waves emitted by nine permanently
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environments deep in its crust, however the duration, depths and geographic distribution of these environments are still poorly known, as are their potential habitability. Identifying locations where water and