Integrating Meteorological Data for Drought Prediction: A Hybrid Ensemble Machine Learning Approach in Northwestern Bangladesh
- DOI
- 10.1002/puh2.70440
- Published
- 2026-11-07
- Container
- Public Health Challenges
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/puh2.70440,
title = {Integrating Meteorological Data for Drought Prediction: A Hybrid Ensemble Machine Learning Approach in Northwestern Bangladesh},
author = {Sharmin Akther and Zafrin Sultana Shampa and Marufa Tasnim and Tasnia Ahsan Mohona and Mariam Tonni and Shajid Ahmed and Masuma Parvin and Md. Joni Alam},
year = {2026},
journal = {Public Health Challenges},
doi = {10.1002/puh2.70440},
url = {https://doi.org/10.1002/puh2.70440}
}RIS
TY - JOUR TI - Integrating Meteorological Data for Drought Prediction: A Hybrid Ensemble Machine Learning Approach in Northwestern Bangladesh AU - Sharmin Akther AU - Zafrin Sultana Shampa AU - Marufa Tasnim AU - Tasnia Ahsan Mohona AU - Mariam Tonni AU - Shajid Ahmed AU - Masuma Parvin AU - Md. Joni Alam PY - 2026 JO - Public Health Challenges DO - 10.1002/puh2.70440 UR - https://doi.org/10.1002/puh2.70440 ER -
APA
Akther, S., Shampa, Z. S., Tasnim, M., Mohona, T. A., Tonni, M., Ahmed, S., Parvin, M., & Alam, M. J. (2026). Integrating Meteorological Data for Drought Prediction: A Hybrid Ensemble Machine Learning Approach in Northwestern Bangladesh. Public Health Challenges. https://doi.org/10.1002/puh2.70440
Source records
- crossref · retrieved 2026-11-10T05:46:09.173Z