[HTML][HTML] Smart prediction of liquefaction-induced lateral spreading
The prediction of liquefaction-induced lateral spreading/displacement (D h) is a challenging
task for civil/geotechnical engineers. In this study, a new approach is proposed to predict D h …
task for civil/geotechnical engineers. In this study, a new approach is proposed to predict D h …
[HTML][HTML] Comparative analysis for slope stability by using machine learning methods
YA Nanehkaran, Z Licai, J Chengyong, J Chen… - Applied Sciences, 2023 - mdpi.com
Featured Application The presented paper conducted a comparative analysis based on well-
known MLP, SVM, DT, and RF learning methods to assess/predict the safety factor (FS) of …
known MLP, SVM, DT, and RF learning methods to assess/predict the safety factor (FS) of …
[HTML][HTML] A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of …
E Yaghoubi, E Yaghoubi, A Khamees… - Neural Computing and …, 2024 - Springer
Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …
learning (EL) are four outstanding approaches that enable algorithms to extract information …
[HTML][HTML] Machine Learning in the Stochastic Analysis of Slope Stability: A State-of-the-Art Review
In traditional slope stability analysis, it is assumed that some “average” or appropriately
“conservative” properties operate over the entire region of interest. This kind of deterministic …
“conservative” properties operate over the entire region of interest. This kind of deterministic …
[HTML][HTML] A python system for regional landslide susceptibility assessment by integrating machine learning models and its application
Z Guo, F Guo, Y Zhang, J He, G Li, Y Yang, X Zhang - Heliyon, 2023 - cell.com
Landslide susceptibility assessment is considered the first step in landslide risk assessment,
but current studies mostly rely on GIS platforms or other software for data preprocessing. The …
but current studies mostly rely on GIS platforms or other software for data preprocessing. The …
A hyper parameterized artificial neural network approach for prediction of the factor of safety against liquefaction
Soil liquefaction during earthquakes is a complex geotechnical engineering problem.
Although various analytical approaches exist for predicting liquefaction risk, their limitations …
Although various analytical approaches exist for predicting liquefaction risk, their limitations …
[HTML][HTML] An explainable artificial-intelligence-aided safety factor prediction of road embankments
Despite the widespread application of data-centric techniques in Geotechnical Engineering,
there is a rising need for building trust in the artificial intelligence (AI)-driven safety …
there is a rising need for building trust in the artificial intelligence (AI)-driven safety …
[HTML][HTML] Predicting slope safety using an optimized machine learning model
M Khajehzadeh, S Keawsawasvong - Heliyon, 2023 - cell.com
The hazards and consequences of slope collapse can be reduced by obtaining a reliable
and accurate prediction of slope safety, hence, developing effective tools for foreseeing their …
and accurate prediction of slope safety, hence, developing effective tools for foreseeing their …
Multisource monitoring data-driven slope stability prediction using ensemble learning techniques
Field monitoring data from multiple monitoring points often contain redundant and/or dirty
data, which provide less value for slope safety evaluation. Existing slope safety evaluation …
data, which provide less value for slope safety evaluation. Existing slope safety evaluation …
[HTML][HTML] Comprehensive analysis of multiple machine learning techniques for rock slope failure prediction
A Mahmoodzadeh, A Alanazi, AH Mohammed… - Journal of Rock …, 2023 - Elsevier
In this study, twelve machine learning (ML) techniques are used to accurately estimate the
safety factor of rock slopes (SFRS). The dataset used for developing these models consists …
safety factor of rock slopes (SFRS). The dataset used for developing these models consists …