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AI Model Proposed for Structural Damage Detection in Civil and Geotechnical Engineering

AI Model Proposed for Structural Damage Detection in Civil and Geotechnical Engineering

An arXiv preprint introduces MS‑SSE‑Net, a multi‑scale spatial squeeze‑and‑excitation network designed to identify structural damage in images under varying conditions. The approach targets improved accuracy and generalization for infrastructure health monitoring.

Original headline

MS-SSE-Net: A Multi-Scale Spatial Squeeze-and-Excitation Network for Structural Damage Detection in Civil and Geotechnical Engineering