| A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic | Apr 13, 2022 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| A robust deep learning-based damage identification approach for SHM considering missing data | Mar 31, 2023 | ImputationStructural Health Monitoring | —Unverified | 0 |
| A Tensor-based Structural Health Monitoring Approach for Aeroservoelastic Systems | Dec 11, 2018 | Structural Health Monitoring | —Unverified | 0 |
| A topological analysis of cointegrated data: a Z24 Bridge case study | Sep 12, 2022 | Structural Health MonitoringTime Series | —Unverified | 0 |
| Automated Detection and Analysis of Minor Deformations in Flat Walls Due to Railway Vibrations Using LiDAR and Machine Learning | Jan 11, 2025 | Structural Health Monitoring | —Unverified | 0 |
| A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection | May 29, 2020 | BIG-bench Machine Learningimage-classification | —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 |
| Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime | Nov 29, 2022 | Generative Adversarial NetworkStructural Health Monitoring | —Unverified | 0 |
| Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting | Jul 1, 2020 | ImputationIncremental Learning | —Unverified | 0 |
| A Nonparametric Unsupervised Learning Approach for Structural Damage Detection | Sep 28, 2020 | Bayesian OptimizationNovelty Detection | —Unverified | 0 |
