Modelling landslide susceptibility prediction: a review and construction of semi-supervised imbalanced theory
F Huang, H **
Each year, thousands of tourists visit Egypt's Wadi Feiran region, which is one of the most
popular tourist sites in the Sinai Peninsula. The region's topography is distinctive and …
popular tourist sites in the Sinai Peninsula. The region's topography is distinctive and …
[HTML][HTML] Prediction of joint roughness coefficient via hybrid machine learning model combined with principal components analysis
S **
Regional landslide susceptibility map** (LSM) is essential for risk mitigation. While deep
learning algorithms are increasingly used in LSM, their extensive parameters and scarce …
learning algorithms are increasingly used in LSM, their extensive parameters and scarce …
Ensemble learning landslide susceptibility assessment with optimized non-landslide samples selection
J Lu, Y He, L Zhang, Q Zhang, B Gao… - … , Natural Hazards and …, 2024 - Taylor & Francis
Non-landslide samples influence the outcomes of landslide susceptibility assessment.
Existing studies did not fully consider the equilibrium between landslide and non-landslide …
Existing studies did not fully consider the equilibrium between landslide and non-landslide …
Considering the effect of non-landslide sample selection on landslide susceptibility assessment
Y Zhu, D Sun, H Wen, Q Zhang, Q Ji, C Li… - … , Natural Hazards and …, 2024 - Taylor & Francis
Crafting landslide susceptibility map** is pivotal for the effective management of landslide
risks. However, the influence of non-landslide sample selection on the modeling …
risks. However, the influence of non-landslide sample selection on the modeling …
[HTML][HTML] Slope stability prediction using principal component analysis and hybrid machine learning approaches
D Lei, Y Zhang, Z Lu, H Lin, B Fang, Z Jiang - Applied Sciences, 2024 - mdpi.com
Traditional slope stability analysis methods are time-consuming, complex, and cannot
provide fast stability estimates when facing a large amount of slope cases. In this case …
provide fast stability estimates when facing a large amount of slope cases. In this case …
Hybrid data-driven model and shapley additive explanations for peak dilation angle of rock discontinuities
Y Cheng, D He, T Ma, H Lin, X Hu, H Liu - Materials Today …, 2024 - Elsevier
To accurately predict the peak dilation angle of rock discontinuities, a hybrid data-driven
model based on the improved sparrow search algorithm is proposed. The main influencing …
model based on the improved sparrow search algorithm is proposed. The main influencing …
[HTML][HTML] Stacking Ensemble Technique Using Optimized Machine Learning Models with Boruta–XGBoost Feature Selection for Landslide Susceptibility Map**: A …
Landslides cause significant human and financial losses in different regions of the world. A
high-accuracy landslide susceptibility map (LSM) is required to reduce the adverse effects of …
high-accuracy landslide susceptibility map (LSM) is required to reduce the adverse effects of …