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Chỉ mục quốc tế: Scopus

Hiển thị 1 đến 20 trong 42 công bố

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1.
Application of Handheld LiDAR Technology in Tree Detection and Measurement: A Case Study of Pine Forest in Da Lat, Lam Dong Province, Vietnam
Tran Ngoc Huyen Trang, Phan Nguyen Viet, Nguyen Ngoc Bang, Nguyen Huu Duc, Le Van Trung, Vo Le Phu
IOP Conference Series: Earth and Environmental Science, Vol. 1633, 2026
- Báo cáo hội nghị
- Chỉ mục Scopus
2.
Estimating carbon sequestration in urban trees using UAV-derived CHM and Deep Learning-based crown extraction: A climate-responsive greenery planning approach
Tran Ngoc Huyen Trang, Le Van Trung, Vo Le Phu
Lecture Notes in Civil Engineering (Springer), GIS IDEAS 2026, 2026
- Báo cáo hội nghị
- Chỉ mục Scopus
3.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục SCIE
- Chỉ mục Scopus
- Chỉ số ảnh hưởng: 2.600
4.
Extracting building footprints from UAV imagery for urban digital transformation in Ho Chi Minh City
Tran Ngoc Huyen Trang, Le Van Trung, Vo Le Phu
Journal of People, Plants, and Environment, 29(1), 2026
- Bài báo tạp chí
- Chỉ mục Scopus
5.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục SCI
- Chỉ mục Scopus
- Chỉ số ảnh hưởng: 2.600
6.
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
- Chương sách
- Xếp hạng tạp chí Q4
- Chỉ mục Scopus
7.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục SCI
- Chỉ mục Scopus
8.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q3
- Chỉ mục ESCI
- Chỉ mục Scopus
- Chỉ số ảnh hưởng: 0.900
9.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục SCI
- Chỉ mục Scopus
- Chỉ số ảnh hưởng: 2.600
10.
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
- Chương sách
- Xếp hạng tạp chí Q4
- Chỉ mục Scopus
11.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục ESCI
- Chỉ mục Scopus
12.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục SCI
- Chỉ mục Scopus
13.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục ESCI
- Chỉ mục Scopus
14.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục SCI
- Chỉ mục Scopus
- Chỉ số ảnh hưởng: 2.600
15.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục SCI
- Chỉ mục Scopus
- Chỉ số ảnh hưởng: 2.600
16.
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
- Chương sách
- Xếp hạng tạp chí Q4
- Chỉ mục Scopus
17.
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
- Chương sách
- Xếp hạng tạp chí Q4
- Chỉ mục Scopus
18.
Hybrid Machine Learning Framework for Pile Capacity Prediction Using FEM-based Data
Hoa Van Vu Tran và cộng sự
Transportation Infrastructure Geotechnology, 2025
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục ESCI
- Chỉ mục Scopus
19.
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
- Bài báo tạp chí
- Xếp hạng tạp chí Q2
- Chỉ mục ESCI
- Chỉ mục Scopus
20.
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
- Chương sách
- Xếp hạng tạp chí Q4
- Chỉ mục Scopus

Danh mục công bố

Hỏi SIGMA

Application of Handheld LiDAR Technology in Tree Detection and Measurement: A Case Study of Pine Forest in Da Lat, Lam Dong Province, Vietnam

Estimating carbon sequestration in urban trees using UAV-derived CHM and Deep Learning-based crown extraction: A climate-responsive greenery planning approach

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

Extracting building footprints from UAV imagery for urban digital transformation in Ho Chi Minh City

A Novel Approach to Predicting Horizontal Displacement of Riverbank Retaining Walls

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