The present study was done in order to simulate the flash-flood susceptibility across the
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …

This study aimed to assess flash-flood susceptibility using a new hybridization approach of
Deep Neural Network (DNN), Analytical Hierarchy Process (AHP), and Frequency Ratio …

Taking into account the exponential growth of the number of flash-floods events worldwide,
the detection of areas prone to these natural hazards is one of the main activities taken in …

Flash floods pose a major challenge in various regions of the world, causing serious
damage to life and property. Here we investigated the Izvorul Dorului river basin from …

Floods are some of the most destructive and catastrophic disasters worldwide. Development
of management plans needs a deep understanding of the likelihood and magnitude of future …

This research proposes and evaluates a new approach for flash flood susceptibility mapping
based on Deep Learning Neural Network (DLNN)) algorithm, with a case study at a high …

Concerning the significant increase in the negative effects of flash-floods worldwide, the
main goal of this research is to evaluate the power of the Analytical Hierarchy Process …

The present study is carried out in the context of the continuous increase, worldwide, of the
number of flash-floods phenomena. Also, there is an evident increase of the size of the …

Flash floods are one of the most devastating natural hazards; they occur within a catchment
(region) where the response time of the drainage basin is short. Identification of probable …

An accurate assessment of Flash-Flood Potential for certain areas is mandatory for the
improvement of flash-flood forecast and warnings. The main aim of the present study is …