Ramin Ghiasi

发表

Probability-Based Damage Detection of Structures Using Model Updating with Enhanced Ideal Gas Molecular Movement Algorithm

Mohammad Reza Ghasemi, Ramin Ghiasi, Hesam Varaee, 2017 .

Structural damage detection using artificial neural networks and least square support vector machine with particle swarm harmony search algorithm

P. Torkzadeh, Mohammad Noori, Ramin Ghiasi, 2014 .

Deep Learning-Based Damage, Load and Support Identification for a Composite Pipeline by Extracting Modal Macro Strains from Dynamic Excitations

Zhishen Wu, Wael A. Altabey, Ying Zhao, 2018, Applied Sciences.

Structural Damage Detection using Frequency Response Function Index and Surrogate Model Based on Optimized Extreme Learning Machine Algorithm

Mohammad Reza Ghasemi, Ramin Ghiasi, M. R. Sohrabi, 2017 .

Probability-Based Damage Detection of Structures Using Surrogate Model and Enhanced Ideal Gas Molecular Movement Algorithm

Mohammad Reza Ghasemi, Ramin Ghiasi, Hesam Varaee, 2017 .

A Case Study of Modeling, Simulation, and Load Flow Assessment in the Power Distribution Network of Tehran Metro Using ETAP

Esmaeil Ahmadinia, Mohammad Ghiasi, Ramin Ghiasi, 2019 .

STRUCTURAL DAMAGE DETECTION BY MODEL UPDATING METHOD BASED ON CASCADE FEED-FORWARD NEURAL NETWORK AS AN EFFICIENT APPROXIMATION MECHANISM

P. Torkzadeh, Eysa Salajegheh, Ramin Ghiasi, 2014 .

Role of Renewable Energy Sources in Evaluating Technical and Economic Efficiency of Power Quality

Mohammad Ghiasi, Ramin Ghiasi, Sheyda Esmaeilnamazi, 2019, Technology and Economics of Smart Grids and Sustainable Energy.

Damage detection of plate-like structures using intelligent surrogate model

P. Torkzadeh, Ramin Ghiasi, Hamed Fathnejat, 2016 .

Probability-Based Damage Detection of Structures Using Kriging Surrogates and Enhanced Ideal Gas Molecular Movement Algorithm

Mohammad Reza Ghasemi, Ramin Ghiasi, Hesam Varaee, 2017 .

A three-stage damage detection method for large-scale space structures using forward substructuring approach and enhanced bat optimization algorithm

Ramin Ghiasi, Hamed Fathnejat, Peyman Torkzadeh, 2018, Engineering with Computers.

Comparative studies of metamodeling and AI-Based techniques in damage detection of structures

Mohammad Reza Ghasemi, Ramin Ghiasi, Mohammad Noori, 2018, Adv. Eng. Softw..

Uncertainty Handling in Structural Damage Detection Using a Non-Probabilistic Meta-Model

Mohammad Reza Ghasemi, Wael A. Altabey, Ramin Ghiasi, 2020 .

Probability-Based Damage Detection Using Kriging Surrogates and Enhanced Ideal Gas Molecular Movement Algorithm

Mohammad Reza Ghasemi, Ramin Ghiasi, Hesam Varaee, 2017 .

Detection of Crack in Euler-Bernoulli Beam Using Bayesian Inference

Wael A. Altabey, T. Wang, Ramin Ghiasi, 2020 .

A Non-parametric Approach Toward Structural Health Monitoring for Processing Big Data Collected from the Sensor Network

Mohammad Reza Ghasemi, Wael A. Altabey, Ramin Ghiasi, 2019 .

An intelligent health monitoring method for processing data collected from the sensor network of structure

Mohammad Reza Ghasemi, Ramin Ghiasi, 2018 .

Comparative Analysis of Wavelet Transform for Time-Frequency Analysis and Transient Localization in Structural Health Monitoring

Zhishen Wu, Mohammad Noori, Wael A. Altabey, 2021 .

Optimum feature selection for SHM of benchmark structures using efficient AI mechanism

Tommy H.T. Chan, Mohammad Reza Ghasemi, Ramin Ghiasi, 2021 .

Uncertainty Handling in Structural Damage Detection via Non-Probabilistic Meta-Models and Interval Mathematics, a Data-Analytics Approach

Zhishen Wu, Wael A. Altabey, Ramin Ghiasi, 2021, Applied Sciences.

Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study

Zhishen Wu, Ji Dang, Wael A. Altabey, 2021, Structural Health Monitoring.

Deep Learning-Based Crack Identification for Steel Pipelines by Extracting Features from 3D Shadow Modeling

Zhishen Wu, Sin-Chi Kuok, Wael A. Altabey, 2021, Applied Sciences.

A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function

P. Torkzadeh, Ramin Ghiasi, Mohammad Noori, 2016 .