Landslide susceptibility mapping (LSM) has been widely used as an important reference for
development and construction planning to mitigate the potential social‐eco impact caused …

Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …

Landslide susceptibility analysis can provide theoretical support for landslide risk
management. However, some susceptibility analyses are not sufficiently interpretable …

The predicts current and future flood risk in the Kalvan watershed of northwestern Markazi
Province, Iran. To do this, 512 flood and non-flood locations were identified and mapped …

In water resource management and pollution control research, prediction of nitrate
concentration in groundwater gets utmost priority in the last few years. Thus, our current …

Landslide is considered as one of the most severe threats to human life and property in the
hilly areas of the world. The number of landslides and the level of damage across the globe …

In this study, we developed multiple hybrid machine-learning models to address parameter
optimization limitations and enhance the spatial prediction of landslide susceptibility models …

This paper evaluates a comparison between three machine learning algorithms (MLAs),
namely support vector machine (SVM), multilayer perceptron artificial neural network (MLP …

Delineation of the groundwater's potential zones is a growing phenomenon worldwide due
to the high demand for fresh groundwater. Therefore, the identification of potential …

Landslides are natural and sometimes quasi-natural hazards that are destructive to natural
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …