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1 Ergebnisse
1
Short-time Passenger Flow Prediction Model based on Combine..:
, In:
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)
,
Shi, Pingcui
;
Hu, Hua
- p. 208-212 , 2022
Link:
https://doi.org/10.1109/AIAM57466.2022.00046
RT T1 <cTitle>2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)</cTitle>: T1 <Title>Short-time Passenger Flow Prediction Model based on Combined Model for Large Events in and Out of Rail Stations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10071424&Exemplar=1&LAN=DE A1 Shi, Pingcui A1 Hu, Hua YR 2022 K1 Rails K1 Thermal factors K1 Organizations K1 Predictive models K1 Market research K1 Data models K1 Kalman filters K1 rail stations K1 short-time passenger flow prediction for large events K1 Unscented Kalman filter K1 wo Layer Long short-term memory K1 attention mechanisms SP 208 OP 212 LK http://dx.doi.org/https://doi.org/10.1109/AIAM57466.2022.00046 DO https://doi.org/10.1109/AIAM57466.2022.00046 SF ELIB - SuUB Bremen
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