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1 Ergebnisse
1
A Multimodal Deep Learning Approach for Typhoon Track Forec..:
, In:
2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
,
Zhan, Ruijie
;
Lu, Jiadong
;
Jiang, Yuchao
... - p. 391-394 , 2023
Link:
https://doi.org/10.1109/CVIDL58838.2023.10166556
RT T1 <cTitle>2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL)</cTitle>: T1 <Title>A Multimodal Deep Learning Approach for Typhoon Track Forecast by Fusing CNN and Transformer Structures</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10166556&Exemplar=1&LAN=DE A1 Zhan, Ruijie A1 Lu, Jiadong A1 Jiang, Yuchao A1 Li, Tongfei A1 Zhong, Guohao A1 Lv, Wei YR 2023 K1 Deep learning K1 Solid modeling K1 Three-dimensional displays K1 Tropical cyclones K1 Computational modeling K1 Neural networks K1 Predictive models K1 typhoon track prediction K1 multimodal deep learning K1 reanalysis data K1 transformer SP 391 OP 394 LK http://dx.doi.org/https://doi.org/10.1109/CVIDL58838.2023.10166556 DO https://doi.org/10.1109/CVIDL58838.2023.10166556 SF ELIB - SuUB Bremen
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