Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …

Under the background of rapid urban development and continuous climate change, frequent
floods around the world have caused serious economic losses and social problems, which …

Floods have received global significance in contemporary times due to their destructive
behavior, which may wreak tremendous ruin on infrastructure and civilization. The present …

Flood resilience assessment is an important step for any community as it gives the actual
scenario of its ability to resist and recover from flood disasters. However, operationalising …

With climate change and rapid urbanization, the prevalent flood disasters and associated
risks in urban areas have become increasingly crucial global issues. Risk assessment is a …

Flood risk assessment is a key step in flood management and mitigation, and flood risk
maps provide a quantitative measure of flood risk. Therefore, integration of deep learning …

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 …

Evaluating flood susceptibility, identifying flood-prone areas, and planning reasonable
landscape patterns are important measures in promoting sustainable urban development …

The objective of this study was the development of an approach based on machine learning
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …

Assessing and mapping landslide susceptibility is a powerful approach to decrease the cost
of landslide disasters. The aim of this paper is to design combination models by combining …