Ensemble machine learning paradigms in hydrology: A review

M Zounemat-Kermani, O Batelaan, M Fadaee… - Journal of …, 2021 - Elsevier
Recently, there has been a notable tendency towards employing ensemble learning
methodologies in assorted areas of engineering, such as hydrology, for simulation and …

Comprehensive overview of flood modeling approaches: A review of recent advances

V Kumar, KV Sharma, T Caloiero, DJ Mehta, K Singh - Hydrology, 2023 - mdpi.com
As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …

A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India

D Ruidas, R Chakrabortty, ARMT Islam, A Saha… - Environmental earth …, 2022 - Springer
The exponential growth in the number of flash flood events is a global threat, and detecting a
flood-prone area has also become a top priority. The flash flood-susceptibility mapping can …

Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis

R Costache, TT Tin, A Arabameri, A Crăciun, RS Ajin… - Journal of …, 2022 - Elsevier
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 …

Modelling flood susceptibility based on deep learning coupling with ensemble learning models

Y Li, H Hong - Journal of Environmental Management, 2023 - Elsevier
Modelling flood susceptibility is an indirect way to reduce the loss from flood disaster. Now,
flood susceptibility modelling based on data driven model is state-of-the-art method such as …

[HTML][HTML] A novel fraud detection and prevention method for healthcare claim processing using machine learning and blockchain technology

AA Amponsah, AF Adekoya, BA Weyori - Decision Analytics Journal, 2022 - Elsevier
Healthcare fraud is a global problem affecting both developing and developed countries. It is
the deliberate attempt of the perpetrators to take undue advantage of the inefficiencies in …

Flood hazards susceptibility mapping using statistical, fuzzy logic, and MCDM methods

H Akay - Soft Computing, 2021 - Springer
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 …

[HTML][HTML] Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a …

SV Razavi-Termeh, MB Seo, A Sadeghi-Niaraki… - Weather and Climate …, 2023 - Elsevier
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 …

Development of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river …

D Ruidas, A Saha, ARMT Islam, R Costache… - … Science and Pollution …, 2023 - Springer
The occurrences of flash floods in sub-tropical climatic regions like India are ubiquitous
phenomena, particularly during the monsoon season. This type of flood occurs within a short …

Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery

SV Razavi-Termeh, A Sadeghi-Niaraki, MB Seo… - Science of The Total …, 2023 - Elsevier
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 …