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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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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed
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The project will develop new deep learning methods to improve machine vision comprising several sensors in collaboration with industry partners 4AI Systems and 4Tel Pty Ltd. In this project we will
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. The candidate will collaborate with a multidisciplinary team of researchers and contribute to the advancement of knowledge in this area. Qualifications Master's degree in machine learning Knowledge of deep
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the tuition fee scholarship and Single Overseas Health Cover (OSHC) for the successful international awardee. The Opportunity A full PhD Scholarship is currently available for research into deep learning
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature
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Explore deep learning, reinforcement learning, and Bayesian models for proactive mental health monitoring. Design models that accurately detect early signs of mental health issues. Enhance computational
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). About the projects IVAI’s projects cover many areas of AI and Machine Learning, including Deep Learning, Natural Language Processing, and Computer Vision. The nature of the research and development
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The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
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that generation of consistent deep fake faces for privacy preservation has not been done. Prior research in the literature has focused more on scrambling face images – this preserves privacy but removes ability