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1 Ergebnisse
1
Ensemble Machine Learning for Urban Flood Hazard Assessment:
, In:
2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI)
,
Taromideh, Fereshteh
;
Fazloula, Ramin
;
Choubin, Bahram
.. - p. 000525-000530 , 2024
Link:
https://doi.org/10.1109/SAMI60510.2024.10432902
RT T1
2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI)
: T1
Ensemble Machine Learning for Urban Flood Hazard Assessment
UL https://suche.suub.uni-bremen.de/peid=ieee-10432902&Exemplar=1&LAN=DE A1 Taromideh, Fereshteh A1 Fazloula, Ramin A1 Choubin, Bahram A1 Masoodi, Mehdi A1 Mosavi, Amir YR 2024 SN 2767-9438 K1 Radio frequency K1 Urban areas K1 Predictive models K1 Floods K1 Ensemble learning K1 Random forests K1 Regression tree analysis K1 ensemble learning K1 machine learning K1 natural hazard K1 urban flood K1 ensemble model K1 deep learning K1 artificial intelligence K1 AI K1 big data K1 data science K1 soft computing K1 applied mathematics K1 hydrology K1 hydrological model K1 ensemble machine learning K1 XAI K1 explainable machine learning K1 susceptibility mapping SP 000525 OP 000530 LK http://dx.doi.org/https://doi.org/10.1109/SAMI60510.2024.10432902 DO https://doi.org/10.1109/SAMI60510.2024.10432902 SF ELIB - SuUB Bremen
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