Deep learning techniques through semantic segmentation networks have been widely used
for natural disaster analysis and response. The underlying base of these implementations …

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 developing countries due to …

This project proposes an operational predictive solution that assists in predicting the flood
occurrence at Kota Belud in Sabah, particularly in estimating and predicting the water level …

This study explored the application of machine learning techniques for flood prediction and
analysis in southern Nigeria. Machine learning is an artificial intelligence technique that …

In the United States, many people rely on private wells, and a constellation of risk factors
affect the nature and severity of well water pollution, including the capacity of the well user to …

La presente indagación tuvo como propósito emplear un modelo híbrido y técnicas de
inteligencia artificial (IA) al modelamiento de precipitación-escorrentía en la cuenca del río …

Emergency preparedness is essential for ensuring the safety and protection of the
population in the event of a disaster. To develop effective emergency plans, it is imperative …

Penelitian ini menyajikan analisis komparatif model pembelajaran mesin untuk prediksi
banjir menggunakan data historis curah hujan. Tiga model, yaitu K-Nearest Neighbors …