Viet-Linh Tran

Sejong University

H-index: 12

Asia-South Korea

About Viet-Linh Tran

Viet-Linh Tran, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Sejong University, specializes in the field of Machine Learning, Deep Learning, Structural Health Monitoring, Optimization, Numerical Simulation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Novel hybrid SCA-XGB model for compressive strength of concrete at elevated temperatures

Predicting and optimizing the concrete compressive strength using an explainable boosting machine learning model

Hybrid machine learning models for classifying failure modes of unstiffened steel plate girders subjected to patch loading

Hybrid machine learning with Bayesian optimization methods for prediction of patch load resistance of unstiffened plate girders

One-dimensional convolutional neural network for damage detection of structures using time series data

Machine learning-based model for moment capacity prediction and reliability analysis of PSC beams

Efficient framework for ultimate strength prediction and production-based CO2 emission optimization of CFST columns using categorical boosting algorithm and moth flame optimization

Failure Mode Identification and Shear Strength Prediction of Rectangular Hollow RC Columns Using Novel Hybrid Machine Learning Models

Viet-Linh Tran Information

University	Sejong University
Position	___
Citations(all)	576
Citations(since 2020)	576
Cited By	55
hIndex(all)	12
hIndex(since 2020)	12
i10Index(all)	13
i10Index(since 2020)	13
Email	Access Email
University Profile Page	Sejong University
Google Scholar	View Google Scholar Profile

Viet-Linh Tran Skills & Research Interests

Machine Learning

Deep Learning

Structural Health Monitoring

Optimization

Numerical Simulation

Top articles of Viet-Linh Tran

Title	Journal	Author(s)	Publication Date
Novel hybrid SCA-XGB model for compressive strength of concrete at elevated temperatures	Asian Journal of Civil Engineering	Thi-Quynh Nguyen Trong-Cuong Vo Thi-Thu Hien Nguyen Viet-Linh Tran	2024/2
Predicting and optimizing the concrete compressive strength using an explainable boosting machine learning model	Asian Journal of Civil Engineering	Trong-Cuong Vo Thi-Quynh Nguyen Viet-Linh Tran	2024/2
Hybrid machine learning models for classifying failure modes of unstiffened steel plate girders subjected to patch loading	Structures	Viet-Linh Tran Jin-Kook Kim	2024/1/1
Hybrid machine learning with Bayesian optimization methods for prediction of patch load resistance of unstiffened plate girders	Probabilistic Engineering Mechanics	Dai-Nhan Le Thai-Hoan Pham George Papazafeiropoulos Zhengyi Kong Viet-Linh Tran ...	2024/4/3
One-dimensional convolutional neural network for damage detection of structures using time series data	Asian Journal of Civil Engineering	Viet-Linh Tran Trong-Cuong Vo Thi-Quynh Nguyen	2024/1
Machine learning-based model for moment capacity prediction and reliability analysis of PSC beams	Structures	Viet-Linh Tran Duc-Kien Thai Jin-Kook Kim	2024/4/1
Efficient framework for ultimate strength prediction and production-based CO2 emission optimization of CFST columns using categorical boosting algorithm and moth flame optimization	Composite Structures	Viet-Linh Tran Duc-Kien Thai Seung-Eock Kim	2024/4/1
Failure Mode Identification and Shear Strength Prediction of Rectangular Hollow RC Columns Using Novel Hybrid Machine Learning Models	Buildings	Viet-Linh Tran Tae-Hyung Lee Duy-Duan Nguyen Trong-Ha Nguyen Quang-Viet Vu ...	2023/11/22
Application of ANFIS to the design of elliptical CFST columns	Advances in Computational Design.	Ngoc-Long Tran Trong-Cuong Vo Duy-Duan Nguyen Van-Quang Nguyen Huy-Khanh Dang ...	2023/4
Ensemble machine learning-based models for estimating the transfer length of strands in PSC beams	Expert Systems with Applications	Viet-Linh Tran Jin-Kook Kim	2023/7/1
Innovative formulas for reinforcing bar bonding failure stress of tension lap splice using ANN and TLBO	Construction and Building Materials	Viet-Linh Tran Jin-Kook Kim	2023/3/10
Prediction of the ultimate axial load of circular concrete‐filled stainless steel tubular columns using machine learning approaches	Structural Concrete	Viet‐Linh Tran Mizan Ahmed Soheil Gohari	2023/6
Development of hybrid machine learning models for predicting permanent transverse displacement of circular hollow section steel members under impact loads	Buildings	Sy Hung Mai Duc Hanh Nguyen Viet-Linh Tran Duc-Kien Thai	2023/5/26
Predicting shear capacity of rectangular hollow RC columns using neural networks	Asian Journal of Civil Engineering	Xuan-Bang Nguyen Viet-Linh Tran Huy-Thien Phan Duy-Duan Nguyen	2023/12/2
Deep convolutional neural network-based transfer learning method for health condition identification of cable in cable-stayed bridge	Journal of Materials and Engineering Structures «JMES»	TRAN Viet-Linh	2023/5/9
Buckling resistance of axially loaded square concrete-filled double steel tubular columns	Steel and Composite Structures, An International Journal	Junchang Ci Mizan Ahmed Viet-Linh Tran Hong Jia Shicai Chen ...	2022/6
Investigating the behavior of steel flush endplate connections at elevated temperatures using FEM and ANN	International Journal of Steel Structures	Viet-Linh Tran	2022/10
Application of GMDH model for predicting the fundamental period of regular RC infilled frames	Steel and Composite Structures	Viet-Linh Tran Seung-Eock Kim	2022
A new framework for damage detection of steel frames using burg autoregressive and stacked autoencoder-based deep neural network	Innovative Infrastructure Solutions	Viet-Linh Tran	2022/10
Damaged cable detection with statistical analysis, clustering, and deep learning models	Smart Structures and Systems	Hyesook Son Chanyoung Yoon Yejin Kim Yun Jang Linh Viet Tran ...	2022