Alireza Entezami
Alireza Entezami
Assistant Professor, Department of Civil and Environmental Engineering (DICA), Politecnico di Milano
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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
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
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
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
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
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
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
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
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
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
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
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
Application of supervised learning to validation of damage detection
H Sarmadi, A Entezami
Archive of Applied Mechanics 91 (1), 393-410, 2021
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
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
An innovative hybrid strategy for structural health monitoring by modal flexibility and clustering methods
A Entezami, H Sarmadi, B Saeedi Razavi
Journal of Civil Structural Health Monitoring 10 (5), 845-859, 2020
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
On model‑based damage detection by an enhanced sensitivity function of modal flexibility and LSMR‑Tikhonov method under incomplete noisy modal data
H Sarmadi, A Entezami, M Ghalehnovi
Engineering with Computers, 2020
Damage detection in structural systems by improved sensitivity of modal strain energy and Tikhonov regularization method
A Entezami, H Shariatmadar
International Journal of Dynamics and Control 2, 509-520, 2014
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
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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