Floods are one of nature's most destructive disasters because of the immense damage to
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …

The current study aimed at evaluating the capabilities of seven advanced machine learning
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …

The flooding in Bangladesh during monsoon season is very common and frequently
happens. Consequently, people have been experiencing tremendous damage to properties …

Flood has long been known as one of the most catastrophic natural hazards worldwide.
Mapping flood-prone areas is an important part of flood disaster management. In this study …

Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …

In this study, the flood hazards susceptibility map of an area in Turkey which is frequently
exposed to flooding was predicted by training 70% of inventory data. For this, statistical, and …

As a frequent natural disaster, landslides incur significant economic and human losses
worldwide. The main idea of this paper is to propose novel integrative models for landslide …

Urban flooding has been an alarming issue in the past around the globe, particularly in
South Asia. Pakistan is no exception from this situation where urban floods with associated …

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 …

Flood occurs as a result of high intensity and long-term rainfalls accompanied by snowmelt
which flow out of the main river channel onto the flood prone areas and damage the …