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1 Ergebnisse
1
Spatio-Temporal Deep Learning for Ocean Current Prediction ..:
, In:
2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE)
,
Thongniran, Nathachai
;
Vateekul, Peerapon
;
Jitkajornwanich, Kulsawasd
.. - p. 254-259 , 2019
Link:
https://doi.org/10.1109/JCSSE.2019.8864215
RT T1 <cTitle>2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE)</cTitle>: T1 <Title>Spatio-Temporal Deep Learning for Ocean Current Prediction Based on HF Radar Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8864215&Exemplar=1&LAN=DE A1 Thongniran, Nathachai A1 Vateekul, Peerapon A1 Jitkajornwanich, Kulsawasd A1 Lawawirojwong, Siam A1 Srestasathiern, Panu YR 2019 SN 2642-6579 K1 Logic gates K1 Sea surface K1 Forecasting K1 Predictive models K1 Convolutional neural networks K1 High frequency radar K1 Surface current forecasting K1 HF radar K1 deep learning K1 spatio-temporal K1 convolutional neural network K1 gated recurrent unit SP 254 OP 259 LK http://dx.doi.org/https://doi.org/10.1109/JCSSE.2019.8864215 DO https://doi.org/10.1109/JCSSE.2019.8864215 SF ELIB - SuUB Bremen
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