Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

A Merghadi, AP Yunus, J Dou, J Whiteley… - Earth-Science …, 2020 - Elsevier
Landslides are one of the catastrophic natural hazards that occur in mountainous areas,
leading to loss of life, damage to properties, and economic disruption. Landslide …

[HTML][HTML] Centrifuge modelling of landslides and landslide hazard mitigation: A review

K Fang, H Tang, C Li, X Su, P An, S Sun - Geoscience Frontiers, 2023 - Elsevier
Landslides are serious geohazards that occur under a variety of climatic conditions and can
cause many casualties and significant economic losses. Centrifuge modelling, as a …

Assessment of landslide susceptibility map** based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest

D Sun, J Xu, H Wen, D Wang - Engineering Geology, 2021 - Elsevier
This study aims to develop two optimized models of landslide susceptibility map** (LSM),
ie, logical regression (LR) and random forest (RF) models, premised on hyperparameter …

Microbial‑induced carbonate precipitation (MICP) technology: a review on the fundamentals and engineering applications

K Zhang, CS Tang, NJ Jiang, XH Pan, B Liu… - Environmental Earth …, 2023 - Springer
The microbial‑induced carbonate precipitation (MICP), as an emerging biomineralization
technology mediated by specific bacteria, has been a popular research focus for scientists …

Landslide Susceptibility map** using random forest and extreme gradient boosting: A case study of Fengjie, Chongqing

W Zhang, Y He, L Wang, S Liu, X Meng - Geological Journal, 2023 - Wiley Online Library
Landslide susceptibility analysis can provide theoretical support for landslide risk
management. However, some susceptibility analyses are not sufficiently interpretable …

A novel displacement prediction method using gated recurrent unit model with time series analysis in the Erdaohe landslide

Y Zhang, J Tang, Z He, J Tan, C Li - Natural Hazards, 2021 - Springer
Landslides are natural phenomena, causing serious fatalities and negative impacts on
socioeconomic. The Three Gorges Reservoir (TGR) area of China is characterized by more …

[HTML][HTML] Uncertainties of landslide susceptibility prediction: influences of random errors in landslide conditioning factors and errors reduction by low pass filter method

F Huang, Z Teng, C Yao, SH Jiang, F Catani… - Journal of Rock …, 2024 - Elsevier
In the existing landslide susceptibility prediction (LSP) models, the influences of random
errors in landslide conditioning factors on LSP are not considered, instead the original …

An optimized random forest model and its generalization ability in landslide susceptibility map**: application in two areas of Three Gorges Reservoir, China

D Sun, J Xu, H Wen, Y Wang - Journal of Earth Science, 2020 - Springer
Numerous researches have been published on the application of landslide susceptibility
assessment models; however, they were only applied in the same areas as the models were …

A multi-feature fusion transfer learning method for displacement prediction of rainfall reservoir-induced landslide with step-like deformation characteristics

J Long, C Li, Y Liu, P Feng, Q Zuo - Engineering Geology, 2022 - Elsevier
Rainfall reservoir-induced landslides in the Zigui Basin, China Three Gorges Reservoir
(CTGR) area, exhibit typical step-like deformation characteristics with mutation and creep …