Applications of Dynamic Cone Penetration Test for Estimating Liquefaction Susceptibility Using Machine Learning Paradigms

Transportation Infrastructure Geotechnology, Год журнала: 2025, Номер 12(1)

Опубликована: Янв. 1, 2025

Язык: Английский

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Advancing Landslide Susceptibility Mapping in the Medea Region Using a Hybrid Metaheuristic ANFIS Approach

Land, Год журнала: 2024, Номер 13(6), С. 889 - 889

Опубликована: Июнь 19, 2024

Landslides pose significant risks to human lives and infrastructure. The Medea region in Algeria is particularly susceptible these destructive events, which result substantial economic losses. Despite this vulnerability, a comprehensive landslide map for lacking. This study aims develop novel hybrid metaheuristic model the spatial prediction of susceptibility Medea, combining Adaptive Neuro-Fuzzy Inference System (ANFIS) with four optimization algorithms (Genetic Algorithm—GA, Particle Swarm Optimization—PSO, Harris Hawks Optimization—HHO, Salp Algorithm—SSA). modeling phase was initiated by using database comprising 160 occurrences derived from Google Earth imagery; field surveys; eight conditioning factors (lithology, slope, elevation, distance stream, land cover, precipitation, slope aspect, road). Afterward, Gamma Test (GT) method used optimize selection input variables. Subsequently, optimal inputs were modeled ANFIS techniques their performance evaluated relevant statistical indicators. comparative assessment demonstrated superior predictive capabilities ANFIS-HHO compared other models. These results facilitated creation an accurate map, aiding use managers decision-makers effectively mitigating hazards similar ones across world.

Язык: Английский

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Prediction of elastic settlement of rectangular footing using machine learning techniques

Arabian Journal of Geosciences, Год журнала: 2025, Номер 18(2)

Опубликована: Янв. 31, 2025

Язык: Английский

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