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Land subsidence susceptibility assessment using random forest machine learning algorithm
The mechanism of land subsidence and soil deformation deals with the dissipation of
excess pore water pressure and the compaction of soil skeleton under the effect of natural or …
excess pore water pressure and the compaction of soil skeleton under the effect of natural or …
Spatial modeling of land subsidence using machine learning models and statistical methods
MA Sekkeravani, O Bazrafshan… - … Science and Pollution …, 2022 - Springer
Land subsidence causes many problems every year and damages residential areas and
agricultural lands. The purpose of this study is to prepare a susceptibility map to the …
agricultural lands. The purpose of this study is to prepare a susceptibility map to the …
Land subsidence hazard assessment based on novel hybrid approach: BWM, weighted overlay index (WOI), and support vector machine (SVM)
S Mehrnoor, M Robati, MM Kheirkhah Zarkesh… - Natural Hazards, 2023 - Springer
Land subsidence is a morphological phenomenon, which causes negative environmental
and economic consequences for human societies. Therefore, identifying the areas prone to …
and economic consequences for human societies. Therefore, identifying the areas prone to …
K-fold and state-of-the-art metaheuristic machine learning approaches for groundwater potential modelling
Groundwater being an essential resource is not easily available in some parts of the world.
The present study, aimed at procuring better prediction maps for groundwater potential …
The present study, aimed at procuring better prediction maps for groundwater potential …
A new random forest method for landslide susceptibility map** using hyperparameter optimization and grid search techniques
Landslides are common and frequent in the Indian Himalayan belt. Environmental factors
such as precipitation, terrain, geology, seismic activity, stream erosion, and anthropogenic …
such as precipitation, terrain, geology, seismic activity, stream erosion, and anthropogenic …
A GIS-based comparative study of hybrid fuzzy-gene expression programming and hybrid fuzzy-artificial neural network for land subsidence susceptibility modeling
Land subsidence is a complicated hazard that artificial intelligence models can model it
without approximation and simplification. In this study, for the first time in land subsidence …
without approximation and simplification. In this study, for the first time in land subsidence …
Subsidence risk assessment based on a novel hybrid form of a tree-based machine learning algorithm and an index model of vulnerability
Among natural hazards, land subsidence (LS) is considered to be one of the most significant
natural disasters which occur in populated and inhabited regions of Iran. The Varamin …
natural disasters which occur in populated and inhabited regions of Iran. The Varamin …