| A Meta-Learning Approach to Population-Based Modelling of Structures | Feb 15, 2023 | Gaussian ProcessesMeta-Learning | —Unverified | 0 | 0 |
| A Machine Learning-Driven Wireless System for Structural Health Monitoring | Sep 17, 2024 | Structural Health Monitoring | —Unverified | 0 | 0 |
| Active management of battery degradation in wireless sensor network using deep reinforcement learning for group battery replacement | Mar 20, 2025 | Deep Reinforcement LearningManagement | —Unverified | 0 | 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 | 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 | 0 |
| A topological analysis of cointegrated data: a Z24 Bridge case study | Sep 12, 2022 | Structural Health MonitoringTime Series | —Unverified | 0 | 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 | 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 | 0 |
| Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting | Jul 1, 2020 | ImputationIncremental Learning | —Unverified | 0 | 0 |
| A Tensor-based Structural Health Monitoring Approach for Aeroservoelastic Systems | Dec 11, 2018 | Structural Health Monitoring | —Unverified | 0 | 0 |
