The continuous monitoring and analysis of system logs are essential for ensuring the stability, security, and performance of modern digital systems. However, the sheer volume and complexity of log data pose significan...
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Bullying is a form of violence that occurs in different situations of our social and physical environment, profoundly affecting people’s lives. Digital media can be a facilitator of this misbehavior, but also a suppo...
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Cardiovascular heart disease (CVD) stands as the primary global cause of death, with its prevalence increasing notably with age. This study utilised a data mining model to identify crucial risk variables for CVD, sele...
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It is important that authentication mechanisms are inclusive to all users including those with reduced abilities. This paper describes our work on Authentibility Pass that allows users with physical and cognitive disa...
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String-matching algorithms are concerned with lo-cating specific patterns within larger strings or text files. This problem of exact sequence matching is studied in various fields of molecular biology, data compressio...
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The accurate and timely diagnosis of animal diseases is essential for the health and well-being of animals, as well as for the prevention and control of disease outbreaks. One important aspect of disease diagnosis is ...
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Finding the inverse z-transform of a rational function is usually considered a completely routine task with nothing special to say about it. However, practically all the procedures described in the engineering literat...
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Interaction design/HCI seems to be at a crossroads. On the one hand, it is still about designing for engaging user experiences (UX). Still, on the other hand, it seems to be increasingly about reducing interaction and...
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This paper explores the design and development of e-Guro 1.0, a culture-based learning management system (CLMS) for the City College of Calamba. Using a qualitative approach, research begins with the exploratory analy...
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The cross-view matching of local image features is a fundamental task in visual localization and 3D *** study proposes FilterGNN,a transformer-based graph neural network(GNN),aiming to improve the matching efficiency ...
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The cross-view matching of local image features is a fundamental task in visual localization and 3D *** study proposes FilterGNN,a transformer-based graph neural network(GNN),aiming to improve the matching efficiency and accuracy of visual *** on high matching sparseness and coarse-to-fine covisible area detection,FilterGNN utilizes cascaded optimal graph-matching filter modules to dynamically reject outlier ***,we successfully adapted linear attention in FilterGNN with post-instance normalization support,which significantly reduces the complexity of complete graph learning from O(N2)to O(N).Experiments show that FilterGNN requires only 6%of the time cost and 33.3%of the memory cost compared with SuperGlue under a large-scale input size and achieves a competitive performance in various tasks,such as pose estimation,visual localization,and sparse 3D reconstruction.
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