Disaster management is a critical area that requires efficient methods and techniques to
address various challenges. This comprehensive assessment offers an in-depth overview of …

Flash floods are among the world most destructive natural disasters, and developing
optimum hybrid Machine Learning (ML) models for flash flood susceptibility (FFS) modeling …

Floods are the natural disaster that occurs most frequently due to the weather and causes
the most widespread destruction. The purpose of the proposed research is to analyze flood …

The increasing severity, duration, and frequency of destructive floods can be attributed to
shifts in climate, infrastructure, land use, and population demographics. Obtaining precise …

This study aims to map flood susceptibility in the Qaa'Jahran watersheds located in Dhamar,
Yemen, using geoprocessing and computational techniques. Historical flood data and SAR …

Urban heat islands (UHI) represent one of the substantial human-induced challenges
endangering urban livelihoods. UHI and climate change have significant interactions …

Almost 80 million Americans suffer from hair loss due to aging, stress, medication, or genetic
makeup. Hair and scalp-related diseases often go unnoticed in the beginning. Sometimes, a …

Synthetic-aperture radar (SAR) data from Sentinel-1 satellites provides unprecedented
opportunity to evaluate inter-annual flood characteristics, although consensus on best flood …

Identification of potential flood risk areas is crucial to reduce flood damage for the frequently
flooded and low-lying South Asian developing countries. The present study has prepared …

Floods pose devastating effects on the resiliency of human and natural systems. flood risk
management challenges are typically complicated in the transboundary river basin due to …