Application of symbolic data analysis for structural modification assessment A Cury, C Crémona, E Diday Engineering Structures 32 (3), 762-775, 2010 | 80 | 2010 |
An SHM approach using machine learning and statistical indicators extracted from raw dynamic measurements RP FINOTTI, AA CURY, FS BARBOSA | 76 | 2019 |
A robust methodology for modal parameters estimation applied to SHM R Cardoso, A Cury, F Barbosa Mechanical Systems and Signal Processing 95, 24-41, 2017 | 73 | 2017 |
Long-term monitoring of a PSC box girder bridge: Operational modal analysis, data normalization and structural modification assessment A Cury, C Cremona, J Dumoulin Mechanical Systems and Signal Processing 33, 13-37, 2012 | 70 | 2012 |
Pattern recognition of structural behaviors based on learning algorithms and symbolic data concepts A Cury, C Crémona Structural Control and Health Monitoring 19 (2), 161-186, 2012 | 69 | 2012 |
Structural modification assessment using supervised learning methods applied to vibration data V Alves, A Cury, N Roitman, C Magluta, C Cremona Engineering Structures 99, 439-448, 2015 | 65 | 2015 |
Automated real-time damage detection strategy using raw dynamic measurements R de Almeida Cardoso, A Cury, F Barbosa Engineering Structures 196, 109364, 2019 | 55 | 2019 |
Assignment of structural behaviours in long-term monitoring: Application to a strengthened railway bridge A Cury, C Cremona Structural Health Monitoring 11 (4), 422-441, 2012 | 49 | 2012 |
Novelty detection for SHM using raw acceleration measurements V Alves, A Cury, N Roitman, C Magluta, C Cremona Structural Control and Health Monitoring 22 (9), 1193-1207, 2015 | 44 | 2015 |
A two-step technique for damage assessment using numerical and experimental vibration data AA Cury, CCH Borges, FS Barbosa Structural Health Monitoring 10 (4), 417-428, 2011 | 36 | 2011 |
Unsupervised real‐time SHM technique based on novelty indexes R de Almeida Cardoso, A Cury, F Barbosa, C Gentile Structural Control and Health Monitoring 26 (7), e2364, 2019 | 31 | 2019 |
A clustering-based strategy for automated structural modal identification R de Almeida Cardoso, A Cury, F Barbosa Structural Health Monitoring 17 (2), 201-217, 2018 | 31 | 2018 |
Model-based damage identification of railway bridges using genetic algorithms VN Alves, MM de Oliveira, D Ribeiro, R Calçada, A Cury Engineering Failure Analysis 118, 104845, 2020 | 29 | 2020 |
Evaluation of the performance of different damage indicators in railway bridges V Alves, A Meixedo, D Ribeiro, R Calçada, A Cury Procedia Engineering 114, 746-753, 2015 | 27 | 2015 |
A hybrid learning strategy for structural damage detection L Andrade Nunes, R Piazzaroli Finotti Amaral, F Souza Barbosa, ... Structural health monitoring 20 (4), 2143-2160, 2021 | 25 | 2021 |
Techniques d'anormalité appliquées à la surveillance de santé structurale A Cury Université Paris-Est, 2010 | 24 | 2010 |
Predicting the compressive strength of steelmaking slag concrete with machine learning–considerations on developing a mix design tool REK Penido, RCF da Paixão, LCB Costa, RAF Peixoto, AA Cury, ... Construction and Building Materials 341, 127896, 2022 | 23 | 2022 |
A fast and efficient feature extraction methodology for structural damage localization based on raw acceleration measurements V Alves, A Cury Structural Control and Health Monitoring, e2748, 2021 | 20 | 2021 |
A novel natural frequency-based technique to detect structural changes using computational intelligence RP Finotti, F de Souza Barbosa, AA Cury, C Gentile Procedia engineering 199, 3314-3319, 2017 | 20 | 2017 |
On the use of symbolic vibration data for robust structural health monitoring V Alves, A Cury, C Cremona Proceedings of the Institution of Civil Engineers-Structures and Buildings …, 2016 | 20 | 2016 |