| Fully convolutional networks for structural health monitoring through multivariate time series classification | Feb 12, 2020 | General ClassificationStructural Health Monitoring | —Unverified | 0 |
| Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks | Jan 31, 2024 | Structural Health MonitoringSuper-Resolution | —Unverified | 0 |
| Gaussian Process Regression for Active Sensing Probabilistic Structural Health Monitoring: Experimental Assessment Across Multiple Damage and Loading Scenarios | Jun 28, 2021 | Decision MakingManagement | —Unverified | 0 |
| Generative Adversarial Networks for Data Generation in Structural Health Monitoring | Dec 7, 2021 | Structural Health Monitoring | —Unverified | 0 |
| Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage Detection | Dec 7, 2021 | Data AugmentationStructural Health Monitoring | —Unverified | 0 |
| Generative Adversarial Networks for Labelled Vibration Data Generation | Dec 7, 2021 | DiagnosticStructural Health Monitoring | —Unverified | 0 |
| Guided Wave-Based Structural Awareness Under Varying Operating States via Manifold Representations | Apr 15, 2025 | Data CompressionDiagnostic | —Unverified | 0 |
| Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data | Mar 21, 2015 | Learning TheoryStructural Health Monitoring | —Unverified | 0 |
| Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring | Aug 29, 2017 | Structural Health Monitoring | —Unverified | 0 |
| Improving aircraft performance using machine learning: a review | Oct 20, 2022 | Structural Health Monitoring | —Unverified | 0 |
