Flood is one of the most destructive natural disasters which cause great financial and life
losses per year. Therefore, producing susceptibility maps for flood management are …

In north of Iran, flood is one of the most important natural hazards that annually inflict great
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …

Flood is one of the most commonly occurred natural hazards worldwide. Severe flood
occurrences in Kelantan, Malaysia cause damage to both life and property every year. Due …

Floods are considered one of the most disastrous hazards all over the world and cause
serious casualties and property damage. Therefore, the assessment and regionalization of …

This paper introduces a new deep-learning algorithm of deep belief network (DBN) based
on an extreme learning machine (ELM) that is structured by back propagation (BN) and …

The present research aims to assess and judge the capability of flash flood susceptibility
(FFS) models considering hybrid machine learning ensemble techniques for the FFS …

Unexpected flood due to climate change has caused tremendous damage to both lives and
properties, especially in tropical areas. Nigeria Southeastern region has been devastated by …

Recently, floods are occurring more frequently every year around the world due to increased
anthropogenic activities and climate change. There is a need to develop accurate models for …

This study is focused on flood susceptibility evaluation across the Golestan Province, Iran,
using novel ensemble models generated by Multi Attributive Ideal-Real Comparative …

Floods are one of the natural disasters that occur most frequently in the Brahmani River of
Eastern India. Frequent floods in the area, results from anthropogenic activities, climate …