ENTEZAMI, ALIREZA
A hybrid sensitivity function and Lanczos bidiagonalization-Tikhonov method for structural model updating: Application to a full-scale bridge structure
2021-01-01 Rezaiee-Pajand, M.; Sarmadi, H.; Entezami, A.
A Multi-stage Machine Learning Methodology for Health Monitoring of Largely Unobserved Structures Under Varying Environmental Conditions
2023-01-01 Entezami, A.; Mariani, S.; Shariatmadar, H.
A new iterative model updating technique based on least squares minimal residual method using measured modal data
2016-01-01 Sarmadi, H.; Karamodin, A.; Entezami, A.
A novel data-driven method for structural health monitoring under ambient vibration and high-dimensional features by robust multidimensional scaling
2021-01-01 Entezami, Alireza; Sarmadi, Hassan; Salar, Masoud; De Michele, Carlo; Arslan, Ali Nadir
A novelty detection method for large-scale structures under varying environmental conditions
2019-01-01 Entezami, A.; Shariatmadar, H.; Mariani, S.
A sensitivity-based finite element model updating based on unconstrained optimization problem and regularized solution methods
2020-01-01 Rezaiee-Pajand, M.; Entezami, A.; Sarmadi, H.
An innovative hybrid strategy for structural health monitoring by modal flexibility and clustering methods
2020-01-01 Entezami, A.; Sarmadi, H.; Saeedi Razavi, B.
An iterative order determination method for time-series modeling in structural health monitoring
2018-01-01 Rezaiee-Pajand, M.; Entezami, A.; Shariatmadar, H.
An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification
2018-01-01 Entezami, A.; Shariatmadar, H.
An Unsupervised Learning Approach for Early Damage Detection by Time Series Analysis and Deep Neural Network to Deal with Output-Only (Big) Data
2020-01-01 Entezami, Alireza; Sarmadi, Hassan; Mariani, Stefano
Application of supervised learning to validation of damage detection
2021-01-01 Sarmadi, H.; Entezami, A.
Big data analytics and structural health monitoring: A statistical pattern recognition-based approach
2020-01-01 Entezami, A.; Sarmadi, H.; Behkamal, B.; Mariani, S.
Bridge health monitoring in environmental variability by new clustering and threshold estimation methods
2021-01-01 Sarmadi, H.; Entezami, A.; Salar, M.; De Michele, C.
Condition Assessment of Civil Structures for Structural Health Monitoring Using Supervised Learning Classification Methods
2020-01-01 Entezami, A.; Shariatmadar, H.; Sarmadi, H.
Damage detection by updating structural models based on linear objective functions
2014-01-01 Entezami, A.; Shariatmadar, H.; Ghalehnovi, M.
Damage Detection in Largely Unobserved Structures under Varying Environmental Conditions: An AutoRegressive Spectrum and Multi-Level Machine Learning Methodology
2022-01-01 Entezami, A.; Mariani, S.; Shariatmadar, H.
Damage detection in structural systems by improved sensitivity of modal strain energy and Tikhonov regularization method
2014-01-01 Entezami, A.; Shariatmadar, H.
Damage localization in shear buildings by direct updating of physical properties
2014-01-01 Entezami, A.; Shariatmadar, H.
Damage localization under ambient excitations and non-stationary vibration signals by a new hybrid algorithm for feature extraction and multivariate distance correlation methods
2019-01-01 Entezami, A.; Shariatmadar, H.
Data-driven damage diagnosis under environmental and operational variability by novel statistical pattern recognition methods
2019-01-01 Entezami, A.; Shariatmadar, H.; Karamodin, A.