Alireza Entezami

发表

Damage localization under ambient excitations and non-stationary vibration signals by a new hybrid algorithm for feature extraction and multivariate distance correlation methods

Hashem Shariatmadar, Alireza Entezami, A. Entezami, 2019 .

Numerical simulation of ambient vibration test based on dynamic analysis in time domain

Hashem Shariatmadar, Alireza Entezami, 2015 .

An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification

Hashem Shariatmadar, Alireza Entezami, A. Entezami, 2018 .

Big Data Analytics and Structural Health Monitoring: A Statistical Pattern Recognition-Based Approach

Stefano Mariani, Alireza Entezami, Behshid Behkamal, 2020, Sensors.

An improvement on feature extraction via time series modeling for structural health monitoring based on unsupervised learning methods

Hashem Shariatmadar, Alireza Entezami, Abbas Karamodin, 2018, Scientia Iranica.

Damage localization in shear buildings by direct updating of physical properties

Hashem Shariatmadar, Alireza Entezami, 2014 .

Condition Assessment of Civil Structures for Structural Health Monitoring Using Supervised Learning Classification Methods

Hashem Shariatmadar, Alireza Entezami, Hassan Sarmadi, 2020 .

Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks

Hashem Shariatmadar, Alireza Entezami, Stefano Mariani, 2019, Structural Health Monitoring.

Structural Health Monitoring for Condition Assessment Using Efficient Supervised Learning Techniques

Hashem Shariatmadar, Alireza Entezami, Stefano Mariani, 2019, Proceedings.

Data-driven damage diagnosis under environmental and operational variability by novel statistical pattern recognition methods

Hashem Shariatmadar, Alireza Entezami, Abbas Karamodin, 2018, Structural Health Monitoring.

new application of random decerement technique

Hashem Shariatmadar, Alireza Entezami, 2015 .

On model-based damage detection by an enhanced sensitivity function of modal flexibility and LSMR-Tikhonov method under incomplete noisy modal data

Alireza Entezami, Hassan Sarmadi, Mansour Ghalehnovi, 2020, Engineering with Computers.

An innovative hybrid strategy for structural health monitoring by modal flexibility and clustering methods

Alireza Entezami, Hassan Sarmadi, Behzad Saeedi Razavi, 2020, Journal of Civil Structural Health Monitoring.

Application of Hopfield neural network to structural health monitoring

Alireza Entezami, Mansour Ghalehnovi, Omid Entezari Heravi, 2016 .

Early damage detection in structural health monitoring by a sensitivity method and DBSCAN clustering

Alireza Entezami, Mansour Ghalehnovi, Omid Entezari Heravi, 2016 .

Assessment of structural damage by sensitivity of modal strain energy based on an efficient optimization function

Hashem Shariatmadar, Alireza Entezami, Mansour Ghalehnovi, 2013 .

A hybrid sensitivity function and Lanczos bidiagonalization-Tikhonov method for structural model updating: Application to a full-scale bridge structure

Alireza Entezami, Mohammad Rezaiee-Pajand, Hassan Sarmadi, 2021 .

An Unsupervised Learning Approach for Early Damage Detection by Time Series Analysis and Deep Neural Network to Deal with Output-Only (Big) Data

Alireza Entezami, Stefano Mariani, Hassan Sarmadi, 2020, Proceedings of 7th International Electronic Conference on Sensors and Applications.

A sensitivity‐based finite element model updating based on unconstrained optimization problem and regularized solution methods

Alireza Entezami, Mohammad Rezaiee-Pajand, Hassan Sarmadi, 2020, Structural Control and Health Monitoring.

Structural Damage Detection by Sensitivity Analysis of Vibrational Response in Civil and Architectural Buildings

Hashem Shariatmadar, Alireza Entezami, A. Entezami, 2013 .

Ensemble learning‐based structural health monitoring by Mahalanobis distance metrics

Alireza Entezami, Ka-Veng Yuen, Hassan Sarmadi, 2020, Structural Control and Health Monitoring.

Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection

Hashem Shariatmadar, Alireza Entezami, Stefano Mariani, 2020, Adv. Eng. Softw..

Structural health monitoring by a new hybrid feature extraction and dynamic time warping methods under ambient vibration and non-stationary signals

Hashem Shariatmadar, Alireza Entezami, A. Entezami, 2019, Measurement.

Low-order feature extraction technique and unsupervised learning for SHM under high-dimensional data

Hashem Shariatmadar, Alireza Entezami, 2019 .