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1 Ergebnisse
1
Heterogeneous Dynamic Graph Convolutional Networks: A Deep ..:
, In:
2023 International Conference on Future Communications and Networks (FCN)
,
Jiang, Jiange
;
Chen, Chen
;
Zhou, Hongxi
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/FCN60432.2023.10544293
RT T1 <cTitle>2023 International Conference on Future Communications and Networks (FCN)</cTitle>: T1 <Title>Heterogeneous Dynamic Graph Convolutional Networks: A Deep Learning Framework for Spatiotemporal Flood Forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10544293&Exemplar=1&LAN=DE A1 Jiang, Jiange A1 Chen, Chen A1 Zhou, Hongxi A1 Chen, Zhiyu A1 Dou, Zeng A1 Cong, Li A1 Wang, Hao A1 Xiao, Huixu YR 2023 K1 Deep learning K1 Convolution K1 Predictive models K1 Data models K1 Real-time systems K1 Spatiotemporal phenomena K1 Floods K1 Flood Forecasting K1 Spatiotemporal Graph Data K1 Dynamic Graph Convolution K1 Multivariable Prediction SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/FCN60432.2023.10544293 DO https://doi.org/10.1109/FCN60432.2023.10544293 SF ELIB - SuUB Bremen
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