Alireza Entezami

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Statistical Pattern Recognition

Machine Learning

Damage Detection

Satellite Images

Top Venues

Adv. Eng. Softw.

Publications

Bahareh Behkamal, Alireza Entezami, Carlo De Michele, Ali Nadir Arslan
Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by Machine Learning Techniques. Remote. Sens. 15 (12) (2023)
Bahareh Behkamal, Alireza Entezami, Carlo De Michele, Ali Nadir Arslan
Investigation of Temperature Effects into Long-Span Bridges via Hybrid Sensing and Supervised Regression Models. Remote. Sens. 15 (14) (2023)
Alireza Entezami, Stefano Mariani, Hashem Shariatmadar
Damage Detection in Largely Unobserved Structures under Varying Environmental Conditions: An AutoRegressive Spectrum and Multi-Level Machine Learning Methodology. Sensors 22 (4) (2022)
Alireza Entezami, Ali Nadir Arslan, Carlo De Michele, Bahareh Behkamal
Online Hybrid Learning Methods for Real-Time Structural Health Monitoring Using Remote Sensing and Small Displacement Data. Remote. Sens. 14 (14) (2022)
Alireza Entezami, Carlo De Michele, Ali Nadir Arslan, Bahareh Behkamal
Detection of Partially Structural Collapse Using Long-Term Small Displacement Data from Satellite Images. Sensors 22 (13) (2022)
Hassan Sarmadi, Alireza Entezami, Mansour Ghalehnovi
On model-based damage detection by an enhanced sensitivity function of modal flexibility and LSMR-Tikhonov method under incomplete noisy modal data. Eng. Comput. 38 (1) (2022)
Alireza Entezami, Hassan Sarmadi, Behshid Behkamal, Stefano Mariani
Health Monitoring of Large-Scale Civil Structures: An Approach Based on Data Partitioning and Classical Multidimensional Scaling. Sensors 21 (5) (2021)
Alireza Entezami, Hassan Sarmadi, Behshid Behkamal, Stefano Mariani
Big Data Analytics and Structural Health Monitoring: A Statistical Pattern Recognition-Based Approach. Sensors 20 (8) (2020)
Alireza Entezami, Hashem Shariatmadar, Stefano Mariani
Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection. Adv. Eng. Softw. 150 (2020)