Floods are a widespread natural disaster with substantial economic implications and far-
reaching consequences. In Northern Pakistan, the Hunza-Nagar valley faces vulnerability to …

The recurring flash floods in northeastern Bangladesh have been causing significant
damage to the lives and livelihoods of local people every year, underscoring the necessity of …

Globally, many studies on machine learning (ML)-based flood susceptibility modeling have
been carried out in recent years. While majority of those models produce reasonably …

The annual average economic losses due to various natural disasters are increasing
exponentially across the globe and have reached a mark of US $239.2 billion per year …

Floods are frequently occurring hazards in the Himalayan foothills that primarily affect the
physical environment and socio-economic profile of the local people. To this end, we used …

Flooding events are determining a significant amount of damages, in terms of economic loss
and also casualties in Asia and Pacific areas. Due to complexity and ferocity of severe …

Assessing floods and their likely impact in climate change scenarios will enable the
facilitation of sustainable management strategies. In this study, five machine learning (ML) …

The geographical location of Bangladesh makes it quite vulnerable to natural disasters.
Flooding is one of those disasters. The coastal area of Bangladesh has higher vulnerability …

Flood is one of the most common hazards in many countries, affecting both life and
properties. The recent climatic changes have brought a rise in both flood frequency and …

Machine learning algorithms are becoming more and more popular in natural disaster
assessment. Although the technology has been tested in flood susceptibility analysis of …