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Information Science Alumni (LARISA) Chapter Scholarship supports students studying towards a qualification in these disciplines (Library, Archives, Records and Information Science), who are facing financial
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Information Technology and Computer Science has been developed to support students experiencing financial hardship to purchase technology related items which the student may not have access to without the support of
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-consuming and costly. In recent years, computer vision techniques have shown promise in bridge displacement measurement and damage detection. Aims The overall aim of this project is to develop a cost
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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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recently collaborated in a pilot study, and this project builds upon initial progress. The project sits at the nexus of materials science and computer science, and suits a student with strong abilities in
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computer vision (CV). By using these tools to create synthetic datasets, we can generate realistic and annotated images that simulate various civil engineering scenarios. This approach automates the dataset
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formulated and executed in the School of Civil and Mechanical Engineering. Curtin University has the academic expertise to execute the computational modelling using computational fluid dynamics and advanced
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, cloud computing, and critical infrastructure. It supports the cybersecurity priorities of the Australian National Science and Research Priority and the ACOLA. The project targets the cybersecurity aspect
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(PM10, PM2.5, PM1), it is crucial to understand their sources and distribution patterns to develop effective control measures. The project will leverage advanced sensor technology and computational
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international reputation in the relevant fields, particularly computational mathematics, operations research and financial engineering. Prof. Wang and A/Prof. Zhou have complementary expertise which is ideal