| Supervised deep learning with finite element simulations for damage identification in bridges A Fernandez-Navamuel, D Zamora-Sánchez, ÁJ Omella, D Pardo, ... Engineering Structures 257, 114016, 2022 | 40 | 2022 |
| Deep learning enhanced principal component analysis for structural health monitoring A Fernandez-Navamuel, F Magalhães, D Zamora-Sánchez, ÁJ Omella, ... Structural Health Monitoring 21 (4), 1710-1722, 2022 | 26 | 2022 |
| Bearing assessment tool for longitudinal bridge performance D Garcia-Sanchez, A Fernandez-Navamuel, DZ Sánchez, D Alvear, ... Journal of Civil Structural Health Monitoring 10, 1023-1036, 2020 | 17 | 2020 |
| Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations A Fernandez-Navamuel, D Pardo, F Magalhães, D Zamora-Sánchez, ... Mechanical Systems and Signal Processing 200, 110471, 2023 | 7 | 2023 |
| Vibration-based SHM strategy for a real time alert system with damage location and quantification A Fernández-Navamuel, D Zamora-Sánchez, T Varona-Poncela, ... European Workshop on Structural Health Monitoring: Special Collection of …, 2021 | 2 | 2021 |
| Deep neural network for damage detection in Infante Dom Henrique bridge using multi-sensor data A Fernandez-Navamuel, D Pardo, F Magalhães, D Zamora-Sánchez, ... Structural Health Monitoring, 14759217241227455, 2024 | | 2024 |
| Bridge damage detection using Deep Autoencoder Networks A Fernandez-Navamuel, D Zamora-Sánchez, D Pardo43, F Magalhães, ... | | 2022 |
| Combined model-based and machine learning approach for damage identification in bridge type structures A Fernández-Navamuel, D Zamora-Sánchez, A Armijo-Prieto, ... | | 2022 |
| Gradient-Boosting Applied for Proactive Maintenance System in a Railway Bridge D García-Sánchez, F Iglesias, J Diez, I Piñero, A Fernández-Navamuel, ... European Workshop on Structural Health Monitoring: Special Collection of …, 2021 | | 2021 |
| Supervised Deep Learning Approach for Fault Detection and Isolation in a Floating Offshore Wind Turbine Farm A Fernandez-Navamuel, Y Peña-Sanchez, V Nava Available at SSRN 4664031, 0 | | |
