has been cited by the following article(s):
|
[1]
|
Prediction of elastic settlement of rectangular footing using machine learning techniques
Arabian Journal of Geosciences,
2025
DOI:10.1007/s12517-025-12199-0
|
|
|
|
|
[2]
|
PROBABILISTIC SETTLEMENT RISK ASSESSMENT USING GEO-PROPPERTY VARIABILITY: A REAL-WORLD CASE STUDY
25th International Multidisciplinary Scientific GeoConference Proceedings SGEM2025, Science and Technologies in Geology, Exploration and Sustainable Mining,
2025
DOI:10.5593/sgem2025/1.1/s02.21
|
|
|
|
|
[3]
|
Exploring the Potential of Machine Learning in Stochastic Reliability Modelling for Reinforced Soil Foundations
Buildings,
2024
DOI:10.3390/buildings14040954
|
|
|
|
|
[4]
|
Uncertainty Analysis of Creep Behavior of Compacted Loess and a Non-Deterministic Predication Method for Post-Construction Settlement of a High-Fill Embankment
Buildings,
2023
DOI:10.3390/buildings13051118
|
|
|
|
|
[5]
|
Machine-Learning-Based Road Soft Soil Foundation Treatment and Settlement Prediction Method
Scientific Programming,
2022
DOI:10.1155/2022/3463413
|
|
|
|
|
[6]
|
Soil Injection Technology Using an Expandable Polyurethane Resin: A Review
Polymers,
2021
DOI:10.3390/polym13213666
|
|
|
|
|
[7]
|
Standardization of sub-structure design of subsidized housing in South Kalimantan
Journal of Physics: Conference Series,
2020
DOI:10.1088/1742-6596/1450/1/012026
|
|
|
|