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A spatial–temporal deep learning-based warning system against flooding hazards with an empirical study in Taiwan

Dados Bibliográficos

ID22028975
AutoresKuo-Hao Chang (0000-0002-3828-960X, National Science and Technology Center for Disaster Reduction, autor correspondente), Yun-Ting Chiu (National Tsing Hua University), Wen-Ray Su (0000-0001-9788-2545, National Science and Technology Center for Disaster Reduction), Yi-Chiang Yu, Yi‐Chiang Yu (National Science and Technology Center for Disaster Reduction), Chih-Hsin Chang (National Science and Technology Center for Disaster Reduction)
Ano2024
Volume102
Páginas104263
Data de publicação2024-02-01
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Disaster Risk Reduction (JOURNAL)
Identificadores do periódicoISSN: 2212-4209
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2024.104263
OpenAlexW4390843663
IdiomaEN
Citações recebidas1
Referências citadas31

Data mining · Deep learning · Early warning system · Flood myth · Flood warning · Geography · Machine learning · Random forest · Telecommunications · Warning system · Computer Science · Environmental Science · Flood Risk Assessment and Management · Hydrological Forecasting Using AI · Hydrology and Watershed Management Studies · Artificial Intelligence

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  • A mixed approach for urban flood prediction using Machine Learning and GIS

    Open Access•Marcel Motta, Miguel De Castro Neto et al.•International Journal of Disaster…•2021

  • Evaluating urban flood risk using hybrid method of Topsis and machine learning

    Open Access•Elham Rafiei-Sardooi, Ali Azareh et al.•International Journal of Disaster…•2021

  • An interactive Web-GIS fluvial flood forecast and alert system in operation in Portugal

    Open Access•Sandra Mourato, Paulo Fernandez et al.•International Journal of Disaster…•2021

  • Explanatory pragmatism

    Open Access•Rune Nyrup, Diana Robinson•Ethics and Information Technology•2022

  • Operational early warning systems for water-related hazards in Europe

    Open Access•Lorenzo Alfieri, Peter Salamon et al.•Environmental Science & Policy•2012

Citações por ano0,5
Intervalo de citações2024 - 2024 (1)
Altamente citadoNão

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Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae