CONVOLUTIONAL NEURAL NETWORKS FOR DETECTING BRIDGE CROSSING EVENTS WITH GROUND-BASED INTERFEROMETRIC RADAR DATA

6 citations as recorded by crossref.

1. Operational Modal Analysis on Bridges: A Comprehensive Review H. Hasani & F. Freddi https://doi.org/10.3390/infrastructures8120172
2. Investigations of Ratio-Based Integrated Influence Lines as Features for Bridge-Damage Detection A. Döring et al. https://doi.org/10.3390/infrastructures8040072
3. Determining and Investigating the Variability of Bridges’ Natural Frequencies with Ground-Based Radar C. Michel & S. Keller https://doi.org/10.3390/app12115354
4. Real-Time Vibration-Based Bridge Health Monitoring Systems: A Systematic Literature Review H. Muhammad et al. https://doi.org/10.1007/s40996-026-02255-4
5. Machine Learning and Signal Processing for Bridge Traffic Classification with Radar Displacement Time-Series Data M. Arnold & S. Keller https://doi.org/10.3390/infrastructures9030037
6. Real-Time Vehicle Detection for Traffic Monitoring: A Deep Learning Approach P. Swathi et al. https://doi.org/10.56294/dm2024295