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SGDAN—A Spatio-Temporal Graph Dual-Attention Neural Network for Quantified Flight Delay Prediction
There has been a lot of research on flight delays. But it is more useful and difficult to estimate the departure delay time especially three hours before the scheduled time of departure, from which passengers can reasonably plan their travel time and the airline and airport staff can schedule flight...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7696102/ https://ncbi.nlm.nih.gov/pubmed/33187127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20226433 |
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