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Aerosol Optical Depth Forecast over Global Dust Belt Based ..:
, In:
IEEE EUROCON 2021 - 19th International Conference on Smart Technologies
,
Daoud, Nour
;
Eltahan, Mohamed
;
Elhennawi, Ahmed
- p. 186-191 , 2021
Link:
https://doi.org/10.1109/EUROCON52738.2021.9535571
RT T1 <cTitle>IEEE EUROCON 2021 - 19th International Conference on Smart Technologies</cTitle>: T1 <Title>Aerosol Optical Depth Forecast over Global Dust Belt Based on LSTM, CNN-LSTM, CONV-LSTM and FFT Algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9535571&Exemplar=1&LAN=DE A1 Daoud, Nour A1 Eltahan, Mohamed A1 Elhennawi, Ahmed YR 2021 K1 Training K1 Uncertainty K1 Biological system modeling K1 Atmospheric modeling K1 Neural networks K1 Time series analysis K1 Aerosols K1 LSTM K1 CNN-LSTM K1 ConvLSTM K1 Aerosol optical depth (AOD) K1 Global dust sources K1 Global dust belt SP 186 OP 191 LK http://dx.doi.org/https://doi.org/10.1109/EUROCON52738.2021.9535571 DO https://doi.org/10.1109/EUROCON52738.2021.9535571 SF ELIB - SuUB Bremen
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