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1 Ergebnisse
1
Evaluating CNN-BiLSTM Models for LOD Predictions:
, In:
2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
,
Agarwal, Paridhi
;
Jain, Rishabh
;
Jadon, Vishwas Raj
.. - p. 726-731 , 2024
Link:
https://doi.org/10.1109/Confluence60223.2024.10463236
RT T1 <cTitle>2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence)</cTitle>: T1 <Title>Evaluating CNN-BiLSTM Models for LOD Predictions</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10463236&Exemplar=1&LAN=DE A1 Agarwal, Paridhi A1 Jain, Rishabh A1 Jadon, Vishwas Raj A1 Nagpal, Renuka A1 Sehgal, Rajni YR 2024 SN 2766-421X K1 Earth K1 Space vehicles K1 Navigation K1 Time series analysis K1 Weather forecasting K1 Stochastic processes K1 Predictive models K1 CNN K1 LSTM K1 BiLSTM K1 Length of Day K1 Predictions SP 726 OP 731 LK http://dx.doi.org/https://doi.org/10.1109/Confluence60223.2024.10463236 DO https://doi.org/10.1109/Confluence60223.2024.10463236 SF ELIB - SuUB Bremen
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