This study harnessed the formidable predictive capabilities of three state-of-the-art machine
learning models—extreme gradient boosting (XGB), random forest (RF), and CatBoost (CB) …

Predicting cyclone intensity is an important aspect of weather forecasting since it influences
disaster preparation and response. This framework addresses the pressing need for precise …

Meteorological drought, driven by inadequate precipitation, has significant repercussions for
water resources, agriculture, and human well-being. This study conducted an extensive …

Estimating the salinity of the soil along the coast of south-western Bangladesh is the focus of
this study. Thirteen soil salinity indicators were computed using the Landsat OLI images, and …

Tropical cyclone causes large-scale devastation and destruction in the coastal plains of
India, particularly in Odisha, which is the most cyclone-affected state in the country. Tropical …

Coastal areas face significant challenges due to natural and anthropogenic changes, such
as sea level rise, extreme events and coastal erosion. The coastal management requires the …

Coastal regions, integral to human economic and social frameworks, face increasing threats
from disasters and climate change. This situation has made it necessary and a priority to …

This research aims to assess the vulnerability to cyclones in the coastal regions of
Bangladesh, employing a comprehensive framework derived from the Intergovernmental …

The research aims to explore the vulnerability of Bangladesh to drought by considering a
comprehensive set of twenty-four factors, classified into four major categories …

One of the most effective strategies for coastal management in Egypt is analyzing how the
Nile Delta shoreline is adapted for climate change and rising sea levels and identifying the …