H. Sarmadi

发表

A new iterative model updating technique based on least squares minimal residual method using measured modal data

Abbas Karamodin, Hassan Sarmadi, Alireza Entezami, 2016 .

Energy-based damage localization under ambient vibration and non-stationary signals by ensemble empirical mode decomposition and Mahalanobis-squared distance

Hassan Sarmadi, Alireza Entezami, A. Entezami, 2019 .

Structural damage detection by a new iterative regularization method and an improved sensitivity function

Hashem Shariatmadar, Hassan Sarmadi, Alireza Entezami, 2017 .

Probabilistic damage localization by empirical data analysis and symmetric information measure

H. Sarmadi, C. De Michele, Alireza Entezami, 2022, Measurement.

Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning

H. Sarmadi, C. De Michele, Alireza Entezami, 2022, Journal of Civil Structural Health Monitoring.

Application of supervised learning to validation of damage detection

H. Sarmadi, Alireza Entezami, 2020, Archive of Applied Mechanics.

Friction and wear performance of copper–graphite surface composites fabricated by friction stir processing (FSP)

H. Sarmadi, A. Kokabi, H. Sarmadi, 2013 .

Application of supervised learning to validation of damage detection

Hassan Sarmadi, Alireza Entezami, A. Entezami, 2020 .

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 .

Investigation of Machine Learning Methods for Structural Safety Assessment under Variability in Data: Comparative Studies and New Approaches

Hassan Sarmadi, H. Sarmadi, 2021, Journal of Performance of Constructed Facilities.

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

Hashem Shariatmadar, Alireza Entezami, Hassan Sarmadi, 2020 .

A novel data-driven method for structural health monitoring under ambient vibration and high-dimensional features by robust multidimensional scaling

Ali Nadir Arslan, Hassan Sarmadi, Alireza Entezami, 2021, Structural Health Monitoring.

A novel anomaly detection method based on adaptive Mahalanobis-squared distance and one-class kNN rule for structural health monitoring under environmental effects

Abbas Karamodin, Hassan Sarmadi, A. Karamodin, 2020 .

Unsupervised learning-based damage assessment of full-scale civil structures under long-term and short-term monitoring

H. Sarmadi, Mohammad Hassan Daneshvar, 2022, Engineering Structures.

Ensemble learning‐based structural health monitoring by Mahalanobis distance metrics

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

A locally unsupervised hybrid learning method for removing environmental effects under different measurement periods

K. Yuen, H. Sarmadi, Mohammad Hassan Daneshvar, 2023, Measurement.

Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching

H. Sarmadi, F. Magalhães, Alireza Entezami, 2023, Structural Health Monitoring.

Probabilistic data self-clustering based on semi-parametric extreme value theory for structural health monitoring

H. Sarmadi, C. De Michele, Alireza Entezami, 2023, Mechanical Systems and Signal Processing.

Early damage detection by an innovative unsupervised learning method based on kernel null space and peak‐over‐threshold

Ka-Veng Yuen, Hassan Sarmadi, K. Yuen, 2021, Comput. Aided Civ. Infrastructure Eng..

Health Monitoring of Large-Scale Civil Structures: An Approach Based on Data Partitioning and Classical Multidimensional Scaling

Stefano Mariani, Behshid Behkamal, Hassan Sarmadi, 2021, Sensors.

Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling

K. Yuen, H. Sarmadi, 2022, Mechanical Systems and Signal Processing.

Long-term health monitoring of concrete and steel bridges under large and missing data by unsupervised meta learning

H. Sarmadi, Alireza Entezami, Bahareh Behkamal, 2023, Engineering Structures.

On continuous health monitoring of bridges under serious environmental variability by an innovative multi-task unsupervised learning method

H. Sarmadi, C. De Michele, Alireza Entezami, 2023, Structure and Infrastructure Engineering.

Bridge health monitoring in environmental variability by new clustering and threshold estimation methods

Hassan Sarmadi, Alireza Entezami, Masoud Salar, 2021, Journal of Civil Structural Health Monitoring.

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.

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

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

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.

Damage identification of structural systems by modal strain energy and an optimization-based iterative regularization method

M. Daneshvar, H. Sarmadi, H. Jahangir, 2022, Engineering with Computers.

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.

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

H. Sarmadi, M. Ghalehnovi, Alireza Entezami, 2020, Engineering with Computers.

Review on smartphone sensing technology for structural health monitoring

H. Sarmadi, Alireza Entezami, Bahareh Behkamal, 2023, Measurement.

A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns

H. Sarmadi, Alireza Entezami, Bahareh Behkamal, 2023, Mechanical Systems and Signal Processing.

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.