Sfoglia per Autore
Energy-based damage localization under ambient vibration and non-stationary signals by ensemble empirical mode decomposition and Mahalanobis-squared distance
2020-01-01 Sarmadi, H.; Entezami, A.; Daneshvar Khorram, M.
Condition Assessment of Civil Structures for Structural Health Monitoring Using Supervised Learning Classification Methods
2020-01-01 Entezami, A.; Shariatmadar, H.; Sarmadi, H.
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.
Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures
2021-01-01 Entezami, Alireza
Early Damage Detection for Partially Observed Structures with an Autoregressive Spectrum and Distance-Based Methodology
2021-01-01 Entezami, Alireza; Mariani, Stefano
Ensemble learning-based structural health monitoring by Mahalanobis distance metrics
2021-01-01 Sarmadi, H.; Entezami, A.; Saeedi Razavi, B.; Yuen, K. -V.
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 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
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.
Health monitoring of large‐scale civil structures: An approach based on data partitioning and classical multidimensional scaling
2021-01-01 Entezami, A.; Sarmadi, H.; Behkamal, B.; Mariani, S.
Application of supervised learning to validation of damage detection
2021-01-01 Sarmadi, H.; Entezami, A.
Robust decision-making by a new statistical feature extraction method reliable to noise and uncertainty
2022-01-01 Esfehani, S. A. H.; Shariatmadar, H.; Entezami, A.
On the data-driven damage detection of offshore structures using statistical and clustering techniques under various uncertainty sources: An experimental study
2022-01-01 Salar, M.; Entezami, A.; Sarmadi, H.; De Michele, C.; Martinelli, L.
Vibration-based structural health monitoring of bridges based on a new unsupervised machine learning technique under varying environmental conditions
2022-01-01 Salar, M.; Entezami, A.; Sarmadi, H.; Behkamal, B.; De Michele, C.; Martinelli, L.
Real-time health monitoring of civil structures by online hybrid learning techniques using remote sensing and small displacement data
2022-01-01 Entezami, A.; De Michele, C.; Nadir Arslan, A.
Bridge collapse prediction by small displacement data from satellite images under long-term monitoring
2022-01-01 Entezami, A.; De Michele, C.; Nadir Arslan, A.
Online hybrid learning methods for real-time structural health monitoring using remote sensing and small displacement data
2022-01-01 Entezami, A.; Arslan, A. N.; De Michele, C.; Behkamal, B.
Non-parametric empirical machine learning for short-term and long-term structural health monitoring
2022-01-01 Entezami, A.; Shariatmadar, H.; De Michele, C.
Detection of Partially Structural Collapse Using Long‐Term Small Displacement Data from Satellite Images
2022-01-01 Entezami, A.; De Michele, C.; Arslan, A. N.; Behkamal, B.
Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning
2022-01-01 Sarmadi, H.; Entezami, A.; Behkamal, B.; De Michele, C.
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