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Structural Health Monitoring

Papers

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Showing 26–50 of 197 papers

TitleStatusHype
On the use of Statistical Learning Theory for model selection in Structural Health Monitoring—0
Automated Detection and Analysis of Minor Deformations in Flat Walls Due to Railway Vibrations Using LiDAR and Machine Learning—0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices—0
MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery—0
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data—0
Signal-based online acceleration and strain data fusion using B-splines and Kalman filter for full-field dynamic displacement estimation—0
When does a bridge become an aeroplane?—0
NonSysId: A nonlinear system identification package with improved model term selection for NARMAX models—0
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis—0
Deep Learning for Micro-Scale Crack Detection on Imbalanced Datasets Using Key Point Localization—0
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
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
A Machine Learning-Driven Wireless System for Structural Health Monitoring—0
Damage detection in an uncertain nonlinear beam based on stochastic Volterra series—0
Active learning for regression in engineering populations: A risk-informed approach—0
Multitask learning for improved scour detection: A dynamic wave tank studyCode0
Damage identification for bridges using machine learning: Development and application to KW51 bridge—0
Structural damage detection via hierarchical damage information with volumetric assessment—0
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