An empirical flood fatality model for Italy using random forest algorithm-Reference-Cited by-同舟云学术

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An empirical flood fatality model for Italy using random forest algorithm

Published:2023-11 Issue: Volume:98 Page:104110
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Yazdani Mina^ORCID,Gencarelli Christian N.^ORCID,Salvati Paola^ORCID,Molinari Daniela^ORCID

Funder

Consiglio Nazionale delle Ricerche

Publisher

Elsevier BV

Subject

Geology,Safety Research,Geotechnical Engineering and Engineering Geology,Building and Construction

Reference52 articles.

1. Review article: factors leading to the occurrence of flood fatalities: a systematic review of research papers published between 2010 and 2020;Petrucci;Nat. Hazards Earth Syst. Sci.,2022

2. Frequency of extreme precipitation increases extensively with event rareness under global warming;Myhre;Sci. Rep.,2019

3. Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change,2022

4. Global evidence of rapid urban growth in flood zones since 1985;Rentschler;Nature,2023

5. Global perspectives on loss of human life caused by floods;Jonkman;Nat. Hazards,2005

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1. Mental Health Classification and Diagnosis System Based on Random Forest Algorithm;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

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