Application of deep learning algorithms in geotechnical engineering: a short critical review

W Zhang, H Li, Y Li, H Liu, Y Chen, X Ding - Artificial Intelligence Review, 2021 - Springer
With the advent of big data era, deep learning (DL) has become an essential research
subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful …

Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges

W Zhang, X Gu, L Hong, L Han, L Wang - Applied Soft Computing, 2023 - Elsevier
Geotechnical reliability analysis provides a novel way to rationally take the underlying
geotechnical uncertainties into account and evaluate the stability of geotechnical structures …

[HTML][HTML] Slope stability prediction using ensemble learning techniques: A case study in Yunyang County, Chongqing, China

W Zhang, H Li, L Han, L Chen, L Wang - Journal of Rock Mechanics and …, 2022 - Elsevier
Slope stability prediction plays a significant role in landslide disaster prevention and
mitigation. This study develops an ensemble learning-based method to predict the slope …

Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations

J Zhou, S Huang, Y Qiu - Tunnelling and Underground Space Technology, 2022 - Elsevier
The stability evaluation of underground entry-type excavations is a prerequisite of the entry-
type mining method, which directly affects whether workers can be provided with a safe and …

Efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms

W Zhang, C Wu, L Tang, X Gu, L Wang - Gondwana Research, 2023 - Elsevier
Abstract The Three Gorges Reservoir Area (TGRA) is one of the most important areas for
landslide prevention and mitigation in China. Rational reliability analysis of reservoir slope …

Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils

L Wang, C Wu, Z Yang, L Wang - Computers and Geotechnics, 2023 - Elsevier
Abstract The Three Gorges Reservoir Area (TGRA) is one of the most important landslide-
prone regions in China, and rational stability evaluation of reservoir slopes in it is of great …

[HTML][HTML] Spatial flood susceptibility map** using an explainable artificial intelligence (XAI) model

B Pradhan, S Lee, A Dikshit, H Kim - Geoscience Frontiers, 2023 - Elsevier
Floods are natural hazards that lead to devastating financial losses and large displacements
of people. Flood susceptibility maps can improve mitigation measures according to the …

Displacement prediction of Jiuxian** landslide using gated recurrent unit (GRU) networks

W Zhang, H Li, L Tang, X Gu, L Wang, L Wang - Acta Geotechnica, 2022 - Springer
Displacement prediction plays a significant role in the landslide disaster early warning.
However, landslide deformation is a complex nonlinear dynamic process, posing difficulties …

Quantitative bearing capacity assessment of strip footings adjacent to two-layered slopes considering spatial soil variability

H Zhou, Q Hu, X Yu, G Zheng, X Liu, H Xu, S Yang… - Acta Geotechnica, 2023 - Springer
The probabilistic bearing capacity of the strip footing placed near a two-layered cohesive
soil slope is evaluated using random adaptive finite element limit analysis with anisotropic …

A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset

HAH Al-Najjar, B Pradhan, G Beydoun, R Sarkar… - Gondwana …, 2023 - Elsevier
As artificial intelligence (AI) techniques are becoming more popular in landslide modeling, it
is important to understand how decisions are made. Fairness, and transparency becomes …