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Structural Health Monitoring

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Showing 31–40 of 197 papers

TitleStatusHype
Multi-temporal crack segmentation in concrete structure using deep learning approaches—0
Deep Learning-Based Fatigue Cracks Detection in Bridge Girders using Feature Pyramid Networks—0
Addressing the Pitfalls of Image-Based Structural Health Monitoring: A Focus on False Positives, False Negatives, and Base Rate Bias—0
Multi-input Multi-output Loewner Framework for Vibration-based Damage Detection on a Trainer Jet—0
Very High-Resolution Bridge Deformation Monitoring Using UAV-based Photogrammetry—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—0
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural NetworksCode1
Data-driven Framework for Forward and Inverse Problems in Guided Waves-Based Structural Health Monitoring Under Varying Environmental and Operating Conditions—0
On the topology and geometry of population-based SHM—0
Towards an active-learning approach to resource allocation for population-based damage prognosis—0
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