The aim of the current research was to develop models to predict the severity of accidents on
rural roads in Tehran province, Iran. In this regard, using accident data from 2017 to 2020 …

Successful flood response and evacuation require timely access to reliable flood depth
information in urban areas. However, existing flood-depth-mapping tools do not provide real …

Existing flood monitoring tools (such as flood gauges, overhead satellite imagery, and
hydrological modeling) are susceptible to reshaped surface topography and …

Floods are one of the most prevalent and costliest natural hazards globally. The safe transit
of people and goods during a flood event requires fast and reliable access to flood depth …

The number and intensity of flood events have been on the rise in many regions of the world.
In some parts of the US, residential properties, transportation networks, and major …

Research Article Presentation of Machine Learning Approaches for Predicting the Severity of
Accidents to Propose the Safety Solu Page 1 Research Article Presentation of Machine …