UTS Library Special Collections
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Graph anomaly detection (GAD) aims to identify abnormal nodes that differ from the majority of the nodes in a graph, which has been attracting significant attention in recent years. Existing genera...
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This study investigates the cracking behavior of high-performance calcium oxide-activated concrete incorporating basalt and synthetic macro fibers under compressive and flexural loading. Acoustic e...
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Cancer risk prediction is a cornerstone of personalized medicine that offers opportunities for early detection and preventive interventions. However, the current models are designed to predict canc...
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This study presents a novel approach to the development of self-compacting concrete (SCC) by partially replacing both cement and fine aggregate (sand) with waste marble sludge (WMS), a byproduct of...
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This research investigates the feasibility of producing eco-friendly self-compacting concrete (SCC) by partially replacing both fine and coarse natural aggregates with waste marble sludge (WMS), a ...
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Predicting user satisfaction over time is crucial in news recommendations, as users’ preferences are significantly influenced by various time-variant factors. Traditional correlation-based recommen...
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We present a novel workflow that leverages Large Language Models (LLMs) to advance qualitative analysis within Learning Analytics, addressing the limitations of existing approaches that fall short ...
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Educators often rely on textual data from student evaluation comments and feedback survey responses to gain insights into students’ learning, understand their perceptions of educational innovations...
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