This paper aims to review parameters, model techniques, validation methods in
groundwater potential field. According to statistics, there are three major model groups used …

Groundwater is a crucial resource that sustains various human activities, but it is vulnerable
to contamination from diverse sources. Therefore, assessing the vulnerability of groundwater …

The Damoh district, which is located in the central India and characterized by limestone,
shales, and sandstone compact rock. The district has been facing groundwater development …

Recent landslide detection studies have focused on pixel-based deep learning (DL)
approaches. In contrast, intuitive annotation of landslides from satellite imagery is based on …

Wind power forecasting is an important means to alleviate the pressure of peak and
frequency regulation in power systems and improve the acceptance capacity of wind power …

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 …

Iran experiences frequent destructive floods with significant socioeconomic consequences.
Quantifying the accurate impacts of such natural hazards, however, is a complicated task …

Electrical power grid insulators installed outdoors are exposed to environmental conditions,
such as the accumulation of contaminants on their surface. The contaminants increase the …

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