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2024 RTP round - IoT framework for real-time monitoring and control for reused water fit-for-purpose
quality monitoring and control at a large scale suitable for domestic, irrigation, and industrial use or fit-for-use. The proposal aims to develop an IoT framework to continuously monitor the quality
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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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RNAi based fungicides for specific fungal diseases of crops. The Hub aims to develop and commercialise an innovative biological alternative to chemical fungicides targeting economically significant
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for remote indigenous communities where the is some good engagement between the clinician and the patient, in mining for remote maintenance, in distance education, and so on. This project may provide
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corresponding to gas emission with the stellar continuum, we will estimate when, where and how the diffuse ionised gas halos were built around galaxies. - Year 1: Develop the algorithm to detect extended ionised