| Toward a general unsupervised novelty detection framework in structural health monitoring MH Soleimani‐Babakamali, R Sepasdar, K Nasrollahzadeh, I Lourentzou, ... Computer‐Aided Civil and Infrastructure Engineering 37 (9), 1128-1145, 2022 | 35 | 2022 |
| Estimating seismic demand models of a building inventory from nonlinear static analysis using deep learning methods MH Soleimani-Babakamali, MZ Esteghamati Engineering Structures 266, 114576, 2022 | 32 | 2022 |
| A system reliability approach to real-time unsupervised structural health monitoring without prior information MH Soleimani-Babakamali, R Sepasdar, K Nasrollahzadeh, R Sarlo Mechanical Systems and Signal Processing 171, 108913, 2022 | 27* | 2022 |
| A general framework for supervised structural health monitoring and sensor output validation mitigating data imbalance with generative adversarial networks-generated high … MH Soleimani-Babakamali, R Soleimani-Babakamali, R Sarlo Structural Health Monitoring 21 (3), 1167-1182, 2022 | 15 | 2022 |
| On the effectiveness of dimensionality reduction for unsupervised structural health monitoring anomaly detection MH Soleimani-Babakamali, R Soleimani-Babakamali, R Sarlo, ... Mechanical Systems and Signal Processing 187, 109910, 2023 | 13 | 2023 |
| Zero-shot transfer learning for structural health monitoring using generative adversarial networks and spectral mapping MH Soleimani-Babakamali, R Soleimani-Babakamali, K Nasrollahzadeh, ... Mechanical Systems and Signal Processing 198, 110404, 2023 | 5 | 2023 |
| Mast arm monitoring via traffic camera footage: a pixel-based modal analysis approach MH SoleimaniBabakamali, A Moghadam, R Sarlo, MH Hebdon, ... Experimental Techniques 45, 329-343, 2021 | 4 | 2021 |
| Toward a general novelty detection framework in structural health monitoring; challenges and opportunities in deep learning MH Soleimani-Babakamali Virginia Tech, 2022 | 3 | 2022 |
| Iterative-R: A reliability-based calibration framework of response modification factor for steel frames MH Soleimani-Babakamali, K Nasrollahzadeh, A Moghadam Steel and Composite Structures 42 (1), 59-74, 2022 | 2 | 2022 |
| Sound-to-Vibration Transformation for Sensorless Motor Health Monitoring OC Devecioglu, S Kiranyaz, A Elhmes, S Sassi, T Ince, O Avci, ... arXiv preprint arXiv:2305.07960, 2023 | 1 | 2023 |
| Does the curse of dimensionality apply to unsupervised shm? investigating the trade-off between loss of information and generalizability to unseen structural conditions MH Soleimani-Babakamali, I Lourentzou, R Sarlo 13th International Workshop on Structural Health Monitoring: Enabling Next …, 2021 | 1 | 2021 |
| Deep Ensemble Learning for Rapid Large-Scale Post-Earthquake Damage Assessment---Application to 2023 Kahramanmaraş Earthquake Sequence MH Soleimani-Babakamali, M Askari, MA Heravi, R Sisman, N Attarchian, ... | | 2023 |
| Automatic Roof Type Classification Through Machine Learning for Regional Wind Risk Assessment S Meng, MH Soleimani-Babakamali, E Taciroglu arXiv preprint arXiv:2305.17315, 2023 | | 2023 |
Kourosh NasrollahzadehAssociate Professor, Department of Civil Engineering, K. N. Toosi University of TechnologyVerified email at kntu.ac.ir
