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Structural Health Monitoring
Scopus
ISSN 1475-9217 · SAGE Publishing · 3 articles in the index
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Journal Article
Three decades of statistical pattern recognition paradigm for SHM of bridges
Bridges play a crucial role in modern societies, regardless of their culture, geographical location, or economic development. The safest, economical, and most resilient bridges are those that are well managed and maintained. In the last three decades, structural health monitoring (SHM) has been a…
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Journal Article
Efficient attention-based deep encoder and decoder for automatic crack segmentation
Recently, crack segmentation studies have been investigated using deep convolutional neural networks. However, significant deficiencies remain in the preparation of ground truth data, consideration of complex scenes, development of an object-specific network for crack segmentation, and use of an…
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Journal Article Full text
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Conventional damage detection techniques are gradually being replaced by state-of-the-art smart monitoring and decision-making solutions. Near real-time and online damage assessment in structural health monitoring (SHM) systems is a promising transition toward bridging the gaps between the past’s…