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Age-sensitive urban rail passenger demand forecasting and uncertainty-driven anomaly detection using a hybrid SAINT + CatBoost ensemble

Crossref DOI link: https://doi.org/10.1038/s41598-025-34849-9

Published Online: 2026-01-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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