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representation from traditional software, the existing development lifecycle can not fully suit the characteristics of DL systems. This project, from the engineering perspective, aims to explore a better
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This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the environment. Specifically, we’ll design novel data modelling and indexing techniques to exploit the data and create a next-generation, eco-friendly navigation system which will...
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On their own, traffic accidents cause 1.3 million fatalities every year – and improper situational awareness is often a major cause. This project aims to exploit big spatio-temporal data to design intelligent techniques for scheduling and offloading tasks to the cloud and peer vehicles. This...
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human intervention. This project is a collaboration with the Centre for Tropical Environmental and Sustainability Science at the University of Townsville. #sustainability
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computer science. Although the efficiency of the state-of-the-art decision and optimisation procedures hinges on a wealth of sophisticated heuristic mechanisms, the key part driving their exceptional practical
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Portable point of care medical devices have revolutionised the way in which people receive medical treatment. It can bring timely and adequate care to people in need but also opens up the opportunity to address the healthcare inequality for the rural and remote. As one of the most important...
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ATM networks, and are widely used for consumer services such as voice, multimedia and data services. While many medical applications are well aligned with the technology used in consumer applications
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Medicine, Nursing and Health Sciences Equity Travel Grant This scholarship is available to one student enrolled in the Bachelor of Medicine and Bachelor of Surgery (MBBS) and one student enrolled in
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Studies, Diploma of Higher Education, or Monash Enabling program at a Monash campus in Australia. Required to relocate from a regional or remote area for study Experiencing financial hardship . To be
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Project description: Nowadays, data-driven machine learning algorithms are well suited to solve real-world problems that require high-level prediction accuracy. However, it seems as if nothing beats the simple equation that more training data = better performance. Learning—in particular, the...