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1 Ergebnisse
1
Deep Learning Approach to Predict Peak Floods and Evaluate ..:
, In:
2021 Systems and Information Engineering Design Symposium (SIEDS)
,
Zhang, Ruoyu
;
Kim, Hyunglok
;
Lien, Emily
... - p. 1-6 , 2021
Link:
https://doi.org/10.1109/SIEDS52267.2021.9483782
RT T1 <cTitle>2021 Systems and Information Engineering Design Symposium (SIEDS)</cTitle>: T1 <Title>Deep Learning Approach to Predict Peak Floods and Evaluate Socioeconomic Vulnerability to Flood Events: A Case Study in Baltimore, MD, U.S.A</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9483782&Exemplar=1&LAN=DE A1 Zhang, Ruoyu A1 Kim, Hyunglok A1 Lien, Emily A1 Zheng, Diyu A1 Band, Lawrence A1 Lakshmi, Venkataraman YR 2021 K1 Deep learning K1 Time-frequency analysis K1 Storms K1 Urban areas K1 Predictive models K1 Data models K1 Surface roughness K1 Climate change K1 ANN K1 flood forecasting K1 flood risk K1 socioeconomic effects SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/SIEDS52267.2021.9483782 DO https://doi.org/10.1109/SIEDS52267.2021.9483782 SF ELIB - SuUB Bremen
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