Age-sensitive urban rail passenger demand forecasting and uncertainty-driven anomaly detection using a hybrid SAINT + CatBoost ensemble
- DOI
- 10.1038/s41598-025-34849-9
- Published
- 2026-01-04
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-34849-9,
title = {Age-sensitive urban rail passenger demand forecasting and uncertainty-driven anomaly detection using a hybrid SAINT + CatBoost ensemble},
author = {Mehmet Taciddin Akçay},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-34849-9},
url = {https://doi.org/10.1038/s41598-025-34849-9}
}RIS
TY - JOUR TI - Age-sensitive urban rail passenger demand forecasting and uncertainty-driven anomaly detection using a hybrid SAINT + CatBoost ensemble AU - Mehmet Taciddin Akçay PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-025-34849-9 UR - https://doi.org/10.1038/s41598-025-34849-9 ER -
APA
Akçay, M. T. (2026). Age-sensitive urban rail passenger demand forecasting and uncertainty-driven anomaly detection using a hybrid SAINT + CatBoost ensemble. Scientific Reports. https://doi.org/10.1038/s41598-025-34849-9
Source records
- crossref · retrieved 2026-09-25T08:53:31.990Z