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Structural Health Monitoring

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Showing 76–100 of 197 papers

TitleStatusHype
Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data—0
Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution TransformCode0
Enhancing In-Situ Structural Health Monitoring through RF Energy-Powered Sensor Nodes and Mobile Platform—0
Synergistic Signal Denoising for Multimodal Time Series of Structure Vibration—0
A physics-informed machine learning model for reconstruction of dynamic loads—0
Deep generative models for unsupervised delamination detection using guided wavesCode0
Physics-informed Gaussian process model for Euler-Bernoulli beam elements—0
Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization—0
A decision framework for selecting information-transfer strategies in population-based SHM—0
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—0
Robust Wind Turbine Blade Segmentation from RGB Images in the Wild—0
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach—0
When is an SHM problem a Multi-Task-Learning problem?—0
Neural operator for structural simulation and bridge health monitoring—0
Quantum-Based Combinatorial Optimization for Optimal Sensor Placement in Civil Structures—0
Prospects and Applications of Incoherent Light in Non-contact Wireless Sensing Systems—0
Integrating Edge-AI in Structural Health Monitoring domain—0
A robust deep learning-based damage identification approach for SHM considering missing data—0
Towards risk-informed PBSHM: Populations as hierarchical systems—0
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN—0
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets—0
A Meta-Learning Approach to Population-Based Modelling of Structures—0
Conditional deep generative models as surrogates for spatial field solution reconstruction with quantified uncertainty in Structural Health Monitoring applications—0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
Quantification of Damage Using Indirect Structural Health Monitoring—0
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