A fuzzy time-series driven ensemble approach for accurate forecasting of higher education rankings
- DOI
- 10.1038/s41598-026-40570-y
- Published
- 2026-03-13
- 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/s41598-026-40570-y,
title = {A fuzzy time-series driven ensemble approach for accurate forecasting of higher education rankings},
author = {Nidhi Agarwal and Devendra Kumar Tayal and P. P. Fathimathul Rajeena and P. P. Rahoof and Nora Alkhaldi and Mona A. S. Ali and R. Sunder and Howayda Saidahmed Ali},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-40570-y},
url = {https://doi.org/10.1038/s41598-026-40570-y}
}RIS
TY - JOUR TI - A fuzzy time-series driven ensemble approach for accurate forecasting of higher education rankings AU - Nidhi Agarwal AU - Devendra Kumar Tayal AU - P. P. Fathimathul Rajeena AU - P. P. Rahoof AU - Nora Alkhaldi AU - Mona A. S. Ali AU - R. Sunder AU - Howayda Saidahmed Ali PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-40570-y UR - https://doi.org/10.1038/s41598-026-40570-y ER -
APA
Agarwal, N., Tayal, D. K., Rajeena, P. P. F., Rahoof, P. P., Alkhaldi, N., Ali, M. A. S., Sunder, R., & Ali, H. S. (2026). A fuzzy time-series driven ensemble approach for accurate forecasting of higher education rankings. Scientific Reports. https://doi.org/10.1038/s41598-026-40570-y
Source records
- crossref · retrieved 2026-09-27T10:30:38.671Z