| Structural health monitoring of bridges: a model-free ANN-based approach to damage detection AC Neves, I Gonzalez, J Leander, R Karoumi Journal of Civil Structural Health Monitoring 7, 689-702, 2017 | 243 | 2017 |
| The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model J Shu, Z Zhang, I Gonzalez, R Karoumi Engineering structures 52, 408-421, 2013 | 139 | 2013 |
| BWIM aided damage detection in bridges using machine learning I Gonzalez, R Karoumi Journal of Civil Structural Health Monitoring 5, 715-725, 2015 | 98 | 2015 |
| Seasonal effects on the stiffness properties of a ballasted railway bridge I Gonzales, M Ülker-Kaustell, R Karoumi Engineering structures 57, 63-72, 2013 | 86 | 2013 |
| A new approach to damage detection in bridges using machine learning AC Neves, I González, J Leander, R Karoumi Experimental Vibration Analysis for Civil Structures: Testing, Sensing …, 2018 | 62 | 2018 |
| An approach to decision‐making analysis for implementation of structural health monitoring in bridges AC Neves, J Leander, I González, R Karoumi Structural Control and Health Monitoring 26 (6), e2352, 2019 | 50 | 2019 |
| Damage detection in railway bridges using machine learning: application to a historic structure EK Chalouhi, I Gonzalez, C Gentile, R Karoumi Procedia engineering 199, 1931-1936, 2017 | 46 | 2017 |
| Analysis of the annual variations in the dynamic behavior of a ballasted railway bridge using Hilbert transform I Gonzalez, R Karoumi Engineering structures 60, 126-132, 2014 | 37 | 2014 |
| Model-free damage detection of a laboratory bridge using artificial neural networks A Ruffels, I Gonzalez, R Karoumi Journal of Civil Structural Health Monitoring 10 (2), 183-195, 2020 | 30 | 2020 |
| The influence of frequency content on the performance of artificial neural network–based damage detection systems tested on numerical and experimental bridge data AC Neves, I González, R Karoumi, J Leander Structural Health Monitoring 20 (3), 1331-1347, 2021 | 28 | 2021 |
| Study and application of modern bridge monitoring techniques I González KTH Royal Institute of Technology, 2011 | 27 | 2011 |
| Vibration-based SHM of railway bridges using machine learning: The influence of temperature on the health prediction EK Chalouhi, I Gonzalez, C Gentile, R Karoumi Experimental Vibration Analysis for Civil Structures: Testing, Sensing …, 2018 | 12 | 2018 |
| Bayesian deep learning for vibration-based bridge damage detection DS Ásgrímsson, I González, G Salvi, R Karoumi Structural health monitoring based on data science techniques, 27-43, 2022 | 11 | 2022 |
| Development and validation of a data-based SHM method for railway bridges AC Neves, I González, R Karoumi Structural health monitoring based on data science techniques, 95-116, 2022 | 10 | 2022 |
| Traffic monitoring using a structural health monitoring system IJG Silva, R Karoumi Proceedings of the Institution of Civil Engineers-Bridge Engineering 168 (1 …, 2015 | 10 | 2015 |
| BWIM aided damage detection in bridges using machine learning. J Civ Struct Heal Monit 5 (5): 715–725 I Gonzalez, R Karoumi | 7 | 2015 |
| Application of monitoring to dynamic characterization and damage detection in bridges I Gonzalez KTH Royal Institute of Technology, 2014 | 4 | 2014 |
| A combined model-free Artificial Neural Network-based method with clustering for novelty detection: The case study of the KW51 railway bridge AC Neves, I González Silva, R Karoumi IABSE Conference Seoul 2020: Risk Intelligence of Infrastructures, 9 …, 2021 | 3 | 2021 |
| From the desk to the field: Recent trends in deploying wireless sensor networks for monitoring civil structures L Mottola, T Voigt, IG Silva, R Karoumi SENSORS, 2011 IEEE, 62-65, 2011 | 3 | 2011 |
| Seasonal effects on novelty detection using ANNs for SHM AC Neves, I González, R Karoumi, J Leander Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and …, 2021 | 1 | 2021 |
Raid KaroumiProfessor in Structural Engineering and BridgesE-mail confirmado em kth.se