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1 Ergebnisse
1
A Deep Learning-based Air Quality Index Prediction Model Us..:
, In:
2023 33rd International Telecommunication Networks and Applications Conference
,
Wang, Shih-Jung
;
Huang, Bo-Jhen
;
Hu, Ming-Hui
- p. 204-209 , 2023
Link:
https://doi.org/10.1109/ITNAC59571.2023.10368496
RT T1 <cTitle>2023 33rd International Telecommunication Networks and Applications Conference</cTitle>: T1 <Title>A Deep Learning-based Air Quality Index Prediction Model Using LSTM and Reference Stations: A Real Application in Taiwan</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10368496&Exemplar=1&LAN=DE A1 Wang, Shih-Jung A1 Huang, Bo-Jhen A1 Hu, Ming-Hui YR 2023 SN 2474-154X K1 Atmospheric modeling K1 Neural networks K1 Weather forecasting K1 Predictive models K1 Air pollution K1 Real-time systems K1 Indexes K1 Air Quality Monitoring Station K1 Air Quality Index (AQI) K1 Air Quality Forecast K1 Artificial Intelligence (AI) K1 Long-Short-Term Memory (LSTM) K1 Spatial-Temporal Relations SP 204 OP 209 LK http://dx.doi.org/https://doi.org/10.1109/ITNAC59571.2023.10368496 DO https://doi.org/10.1109/ITNAC59571.2023.10368496 SF ELIB - SuUB Bremen
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