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

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 …

Although numerical and non-numerical models of groundwater flow and transport have
separately been reviewed in several studies, they have not hitherto been reviewed …

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 …

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

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 …

Groundwater potential mapping (GPM) provides the valuable information on groundwater
volume that can be withdrawn from the aquifer without affecting the environmental …

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

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