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News/Bridging Data Gaps in Structural Fragility Modeling through Transfer Learning: Methodology and Case Studies
arxiv
PublishedJune 18, 2026 at 4:00 AM
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Bridging Data Gaps in Structural Fragility Modeling through Transfer Learning: Methodology and Case Studies

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arXiv:2606.18567v1 Announce Type: cross Abstract: This paper presents a methodology-centered transfer learning framework for fragility adaptation under domain shift, class imbalance, and scarce target labels while preserving engineering interpretability and supporting decision-making under uncertain

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