| An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification A Entezami, H Shariatmadar Structural Health Monitoring 17 (2), 325-345, 2018 | 152 | 2018 |
| Big data analytics and structural health monitoring: a statistical pattern recognition-based approach A Entezami, H Sarmadi, B Behkamal, S Mariani Sensors 20 (8), 2328, 2020 | 128 | 2020 |
| Ensemble learning‐based structural health monitoring by Mahalanobis distance metrics H Sarmadi, A Entezami, B Saeedi Razavi, KV Yuen Structural Control and Health Monitoring, e2663, 2020 | 98 | 2020 |
| Data-driven damage diagnosis under environmental and operational variability by novel statistical pattern recognition methods A Entezami, H Shariatmadar, A Karamodin Structural Health Monitoring 18 (5-6), 1416-1443, 2019 | 97 | 2019 |
| Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection A Entezami, H Shariatmadar, S Mariani Advances in Engineering Software 150, 102923, 2020 | 86 | 2020 |
| Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks A Entezami, H Shariatmadar, S Mariani Structural Health Monitoring 19 (6), 1685-1710, 2020 | 78 | 2020 |
| Bridge health monitoring in environmental variability by new clustering and threshold estimation methods H Sarmadi, A Entezami, M Salar, C De Michele Journal of Civil Structural Health Monitoring 11 (3), 629-644, 2021 | 69 | 2021 |
| Long-term health monitoring of concrete and steel bridges under large and missing data by unsupervised meta learning A Entezami, H Sarmadi, B Behkamal Engineering Structures 279, 115616, 2023 | 67 | 2023 |
| Review on smartphone sensing technology for structural health monitoring H Sarmadi, A Entezami, KV Yuen, B Behkamal Measurement 223, 113716, 2023 | 66 | 2023 |
| A novel data-driven method for structural health monitoring under ambient vibration and high-dimensional features by robust multidimensional scaling A Entezami, H Sarmadi, M Salar, C De Michele, AN Arslan Structural Health Monitoring 20 (5), 2758-2777, 2021 | 61 | 2021 |
| Structural health monitoring by a new hybrid feature extraction and dynamic time warping methods under ambient vibration and non-stationary signals A Entezami, H Shariatmadar Measurement 134, 548-568, 2019 | 59 | 2019 |
| A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns A Entezami, H Sarmadi, B Behkamal Mechanical Systems and Signal Processing 201, 110676, 2023 | 58 | 2023 |
| Damage localization under ambient excitations and non-stationary vibration signals by a new hybrid algorithm for feature extraction and multivariate distance correlation methods A Entezami, H Shariatmadar Structural Health Monitoring 18 (2), 347-375, 2019 | 56 | 2019 |
| Structural damage detection by a new iterative regularization method and an improved sensitivity function A Entezami, H Shariatmadar, H Sarmadi Journal of Sound and Vibration 399, 285-307, 2017 | 56 | 2017 |
| Probabilistic data self-clustering based on semi-parametric extreme value theory for structural health monitoring H Sarmadi, A Entezami, C De Michele Mechanical Systems and Signal Processing 187, 109976, 2023 | 53 | 2023 |
| Non-parametric empirical machine learning for short-term and long-term structural health monitoring A Entezami, H Shariatmadar, C De Michele Structural Health Monitoring 21 (6), 2700-2718, 2022 | 53 | 2022 |
| Energy-based damage localization under ambient vibration and non-stationary signals by ensemble empirical mode decomposition and Mahalanobis-squared distance H Sarmadi, A Entezami, M Daneshvar Khorram Journal of Vibration and Control 26 (11-12), 1012-1027, 2020 | 52 | 2020 |
| A new iterative model updating technique based on least squares minimal residual method using measured modal data H Sarmadi, A Karamodin, A Entezami Applied mathematical modelling 40 (23-24), 10323-10341, 2016 | 52 | 2016 |
| A sensitivity‐based finite element model updating based on unconstrained optimization problem and regularized solution methods M Rezaiee‐Pajand, A Entezami, H Sarmadi Structural Control and Health Monitoring 27 (5), e2481, 2020 | 51 | 2020 |
| Application of supervised learning to validation of damage detection H Sarmadi, A Entezami Archive of Applied Mechanics 91 (1), 393-410, 2021 | 49 | 2021 |
Hassan SarmadiCo-Founder and Research & Development Director at IPESFP Startup CompanyAdresă de e-mail confirmată pe alumni.um.ac.ir
