The global community is continuously working to minimize the impact of disasters through
various actions, including earth surveying. For example, flood-prone areas must be …

Floods are recognised as one of the most destructive and costliest natural disasters in the
world, which impact the lives and livelihoods of millions of people. To tackle the risks …

Flood is one of the most destructive natural hazards affecting the environment and the
socioeconomic system of the world. The effects are higher in the develo** countries due to …

Floods are among the most devastating natural disasters, causing extensive loss of life and
property. Accurate flood inundation prediction is essential for reducing the impacts of flood …

A reliable and accurate flood forecasting procedure is crucial due to the hazardous nature of
such disasters. Despite the growing interest in machine learning models over traditional …

Archive of SID.ir Archive of SID.ir Page 1 ORIGINAL RESEARCH PAPER Using Convolutional
Long Short-Term Memory Model for Flood Prediction in Golestan Province, Iran S. Ahmadi,A …

Floods pose a serious hazard to both infrastructure and human lives. On physical models
and statistical techniques, traditional flood prediction models are built. In order to reduce the …

Floods pose significant threats to public safety and infrastructure, making the timely
detection of flood-prone areas crucial for effective disaster management. This research …

In recent years, the city of Kassala has suffered from frequent flooding disasters in the Gash
River, which is the city's lifeblood. But the problem of frequent flooding of the river has made …

The frequency and intensity of natural catastrophes, particularly floods, are increasing,
posing hitherto unheard-of challenges to urban infrastructure and public safety. Key regions …