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Structural Health Monitoring

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Showing 76–100 of 197 papers

TitleStatusHype
Generative Adversarial Networks for Labelled Vibration Data Generation—0
Guided Wave-Based Structural Awareness Under Varying Operating States via Manifold Representations—0
Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data—0
Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring—0
Improving aircraft performance using machine learning: a review—0
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers—0
Integrating Edge-AI in Structural Health Monitoring domain—0
Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures—0
Leveraging Gaussian Process and Voting-Empowered Many-Objective Evaluation for Fault Identification—0
Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring—0
Localization of Impacts on Thin-Walled Structures by Recurrent Neural Networks: End-to-end Learning from Real-World Data—0
Lost Vibration Test Data Recovery Using Convolutional Neural Network: A Case Study—0
Machine-learning-based methods for output only structural modal identification—0
Manifold learning-based feature extraction for structural defect reconstruction—0
Mechanical in-sensor computing: a programmable meta-sensor for structural damage classification without external electronic power—0
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage—0
Modelling variability in vibration-based PBSHM via a generalised population form—0
Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring—0
MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery—0
Multi-input Multi-output Loewner Framework for Vibration-based Damage Detection on a Trainer Jet—0
Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance—0
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring—0
Multi-temporal crack segmentation in concrete structure using deep learning approaches—0
NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent—0
Neural operator for structural simulation and bridge health monitoring—0
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