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| Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression | Mar 11, 2021 | Decision MakingGPR | —Unverified | 0 |
| Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models | May 3, 2025 | State EstimationStructural Health Monitoring | —Unverified | 0 |
| Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling | Feb 29, 2024 | Anomaly DetectionStructural Health Monitoring | —Unverified | 0 |
| Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions | Jan 21, 2025 | State Space ModelsStructural Health Monitoring | —Unverified | 0 |
| Deep learning architectures for data-driven damage detection in nonlinear dynamic systems | Jul 4, 2024 | Structural Health Monitoring | —Unverified | 0 |
| Deep Learning-Based Fatigue Cracks Detection in Bridge Girders using Feature Pyramid Networks | Oct 28, 2024 | Crack SegmentationStructural Health Monitoring | —Unverified | 0 |
| Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning | Oct 7, 2024 | Data IntegrationDecision Making | —Unverified | 0 |
| Addressing the Pitfalls of Image-Based Structural Health Monitoring: A Focus on False Positives, False Negatives, and Base Rate Bias | Oct 27, 2024 | Structural Health Monitoring | —Unverified | 0 |
