Research output

Publication list

The list covers journal articles, conference papers and book chapters authored by the members, both international and domestic.

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Showing 1 to 20 of 35 publications

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1.
Explainable Deep Learning for Settlement Prediction and Risk Classification of Transportation Infrastructure on Soil Foundations
Luu Le Minh, Hiep Nguyen Anh, Truong Dang Xuan
Transportation Infrastructure Geotechnology, Volume 13, article number 167, 2026
- Journal article
- Journal quartile Q2
- Indexed in SCIE
- Indexed in Scopus
- Impact factor: 2.600
2.
A Novel Approach to Predicting Horizontal Displacement of Riverbank Retaining Walls
Phuong Tuan Nguyen, Truong Xuan Dang, Tuan Anh Nguyen, Luan Nhat Vo, Hoa Van Vu Tran
Transportation Infrastructure Geotechnology, Volume 12, article number 76, 2025
- Journal article
- Journal quartile Q2
- Indexed in SCI
- Indexed in Scopus
- Impact factor: 2.600
3.
A new approach for Quantitative Precipitation Estimation from Radar Reflectivity
Thi-Linh Dinh, Dai-Khanh Phung, Seon-Ho Kim, Deg-Hyo Bae
Tạp chí Q1 về tài nguyên nước, 2025
- Journal article
- Journal quartile Q1
- Indexed in SCI
- Impact factor: 6.300
4.
A novel hybrid model for hourly streamflow and water level prediction from radar reflectivity using deep learning approaches
Thi-Linh Dinh, Dai-Khanh Phung, Hyun-Han Kwon, Deg-Hyo Bae
Water Resources Management, 39, 5929-5948, 2025
- Journal article
- Journal quartile Q1
- Indexed in SCI
- Impact factor: 4.700
5.
Analyzing the Effects of Depth, Displacement, Pore Water Pressure, and Suction Efficiency on Vertical Effective Stress Using FEA and Artificial Neural Networks
Phuong Nguyen Tuan, Tuan Anh Nguyen, Hoa Van Vu Tran
Studies in Systems, Decision and Control (Springer), 2025
- Book chapter
- Journal quartile Q4
- Indexed in Scopus
6.
Assessment of the Impact of Pile Characteristics on the Horizontal Displacement of Retaining Walls under Heavy Rainfall: A Case Study in Vietnam
Phuong Tuan Nguyen, Luan Nhat Vo, Truong Xuan Dang, Hoa Van Vu Tran, Tuan Anh Nguyen
Engineering, Technology & Applied Science Research, Vol. 15, No. 2, 21208-21213, 2025
- Journal article
- Journal quartile Q2
- Indexed in SCI
- Indexed in Scopus
7.
Cubic regression-based analysis of bored pile bearing capacity in sandy soils: An evaluation approach
Phuong Tuan Nguyen, Tuan Anh Nguyen, Truong Xuan Dang, Hoa Van Vu Tran
International Journal of GEOMATE, Vol. 28, Issue 130, 70-77, 2025
- Journal article
- Journal quartile Q3
- Indexed in ESCI
- Indexed in Scopus
- Impact factor: 0.900
8.
Deep Excavation Success Prediction: A Hybrid Approach with FEA and Machine Learning
Phuong Nguyen Tuan, Tuan Nguyen Anh, Truong Dang Xuan, Hoa Tran Vu Van
Transportation Infrastructure Geotechnology, Volume 12, article number 93, 2025
- Journal article
- Journal quartile Q2
- Indexed in SCI
- Indexed in Scopus
- Impact factor: 2.600
9.
Enhanced Prediction of Active Pore Pressure with FEA and Random Forest Modeling
Phuong Nguyen Tuan, Tuan Anh Nguyen, Hoa Van Vu Tran
Studies in Systems, Decision and Control (Springer), 2025
- Book chapter
- Journal quartile Q4
- Indexed in Scopus
10.
Enhancing Bored Pile Settlement Prediction in Silty Clay Using a Genetic Algorithm Optimized XGBoost Model
Hoa Van Vu Tran và cộng sự
Transportation Infrastructure Geotechnology, 2025
- Journal article
- Journal quartile Q2
- Indexed in ESCI
- Indexed in Scopus
11.
Enhancing Horizontal Displacement Prediction of Shoring Systems in Deep Urban Excavations Using Artificial Neural Networks
Phuong Tuan Nguyen, Tuan Anh Nguyen, Truong Xuan Dang, Hoa Van Vu Tran
Civil Engineering and Architecture, 13(3), 1616-1623, 2025
- Journal article
- Journal quartile Q2
- Indexed in SCI
- Indexed in Scopus
12.
Enhancing Prediction Capabilities for Barrette Wall Displacement Using the Finite Element Method and Artificial Neural Networks
Truong Xuan Dang, Tuan Anh Nguyen, Luan Nhat Vo, Hoa Van Vu Tran
Engineering, Technology & Applied Science Research, Vol. 15, No. 4, 25207-25212, 2025
- Journal article
- Journal quartile Q2
- Indexed in ESCI
- Indexed in Scopus
13.
Enhancing Vertical Displacement Prediction of Soil during Deep Excavation Using Artificial Neural Networks
Tuan Nguyen Anh, Phuong Nguyen Tuan, Truong Dang Xuan, Hoa Tran Vu Van
Transportation Infrastructure Geotechnology, Volume 12, article number 121, 2025
- Journal article
- Journal quartile Q2
- Indexed in SCI
- Indexed in Scopus
- Impact factor: 2.600
14.
Enhancing the Accuracy in Predicting the Maximum Bearing Capacity of Bored Piles Using Derivative Analysis and FEM Simulation
Tuan Nguyen Anh, Truong Dang Xuan, Phuong Nguyen Tuan, Hoa Tran Vu Van
Transportation Infrastructure Geotechnology, Volume 12, article number 77, 2025
- Journal article
- Journal quartile Q2
- Indexed in SCI
- Indexed in Scopus
- Impact factor: 2.600
15.
Evaluating Geotechnical Factors Affecting Suction Efficiency Using FEA and Random Forest
Luan Vo Nhat, Tuan Anh Nguyen, Hoa Van Vu Tran
Studies in Systems, Decision and Control (Springer), 2025
- Book chapter
- Journal quartile Q4
- Indexed in Scopus
16.
Evaluating the Impact of Horizontal Displacement and Forces on Excavation Depth Using Artificial Neural Networks and Finite Element Analysis
Truong Xuan Dang, Tuan Anh Nguyen, Hoa Van Vu Tran
Studies in Systems, Decision and Control (Springer), ICSPBT 2024, Muscat - Oman, 2025
- Book chapter
- Journal quartile Q4
- Indexed in Scopus
17.
Hybrid Machine Learning Framework for Pile Capacity Prediction Using FEM-based Data
Hoa Van Vu Tran và cộng sự
Transportation Infrastructure Geotechnology, 2025
- Journal article
- Journal quartile Q2
- Indexed in ESCI
- Indexed in Scopus
18.
Hybrid Machine Learning for Predicting Bored Pile Settlement in Clayey Sand: A Comparative Study Using FEM Data
Hoa Van Vu Tran và cộng sự
Transportation Infrastructure Geotechnology, 2025
- Journal article
- Journal quartile Q2
- Indexed in ESCI
- Indexed in Scopus
19.
Hybrid Modeling for Ground Displacement Prediction Around Excavations: FEA and Machine Learning
Truong Xuan Dang, Tuan Anh Nguyen, Hoa Van Vu Tran
Studies in Systems, Decision and Control (Springer), ICSPBT 2024, Muscat - Oman, 2025
- Book chapter
- Journal quartile Q4
- Indexed in Scopus
20.
Impact of Barrette Wall Thickness on Displacement and Force in Deep Excavation Project
Truong Xuan Dang, Tuan Anh Nguyen, Hoa Van Vu Tran, Phuong Tuan Nguyen, Luan Nhat Vo
International Journal of GEOMATE, Vol. 28, Issue 125, 75-82, 2025
- Journal article
- Journal quartile Q3
- Indexed in SCI
- Indexed in Scopus
- Impact factor: 0.900

Publication list

Ask SIGMA

Explainable Deep Learning for Settlement Prediction and Risk Classification of Transportation Infrastructure on Soil Foundations

A Novel Approach to Predicting Horizontal Displacement of Riverbank Retaining Walls

A new approach for Quantitative Precipitation Estimation from Radar Reflectivity

A novel hybrid model for hourly streamflow and water level prediction from radar reflectivity using deep learning approaches

Analyzing the Effects of Depth, Displacement, Pore Water Pressure, and Suction Efficiency on Vertical Effective Stress Using FEA and Artificial Neural Networks

Assessment of the Impact of Pile Characteristics on the Horizontal Displacement of Retaining Walls under Heavy Rainfall: A Case Study in Vietnam

Cubic regression-based analysis of bored pile bearing capacity in sandy soils: An evaluation approach

Deep Excavation Success Prediction: A Hybrid Approach with FEA and Machine Learning

Enhanced Prediction of Active Pore Pressure with FEA and Random Forest Modeling

Enhancing Bored Pile Settlement Prediction in Silty Clay Using a Genetic Algorithm Optimized XGBoost Model

Enhancing Horizontal Displacement Prediction of Shoring Systems in Deep Urban Excavations Using Artificial Neural Networks

Enhancing Prediction Capabilities for Barrette Wall Displacement Using the Finite Element Method and Artificial Neural Networks

Enhancing Vertical Displacement Prediction of Soil during Deep Excavation Using Artificial Neural Networks

Enhancing the Accuracy in Predicting the Maximum Bearing Capacity of Bored Piles Using Derivative Analysis and FEM Simulation

Evaluating Geotechnical Factors Affecting Suction Efficiency Using FEA and Random Forest

Evaluating the Impact of Horizontal Displacement and Forces on Excavation Depth Using Artificial Neural Networks and Finite Element Analysis

Hybrid Machine Learning Framework for Pile Capacity Prediction Using FEM-based Data

Hybrid Machine Learning for Predicting Bored Pile Settlement in Clayey Sand: A Comparative Study Using FEM Data

Hybrid Modeling for Ground Displacement Prediction Around Excavations: FEA and Machine Learning

Impact of Barrette Wall Thickness on Displacement and Force in Deep Excavation Project