Dual framework for rainfall prediction: a multi-seed machine and deep learning evaluation across Pakistan's climatic regimes.

Farman H, Hussain MA, Shaikh S, Hassan S, Hassan SR

Open source

DOI
10.1038/s41598-026-50979-0
Published
2026 Apr 29
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-50979-0,
  title = {Dual framework for rainfall prediction: a multi-seed machine and deep learning evaluation across Pakistan's climatic regimes.},
  author = {Farman H and Hussain MA and Shaikh S and Hassan S and Hassan SR},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-50979-0},
  url = {https://doi.org/10.1038/s41598-026-50979-0}
}

RIS

TY  - JOUR
TI  - Dual framework for rainfall prediction: a multi-seed machine and deep learning evaluation across Pakistan's climatic regimes.
AU  - Farman H
AU  - Hussain MA
AU  - Shaikh S
AU  - Hassan S
AU  - Hassan SR
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-50979-0
UR  - https://doi.org/10.1038/s41598-026-50979-0
ER  - 

APA

H, F., MA, H., S, S., S, H., & SR, H. (2026). Dual framework for rainfall prediction: a multi-seed machine and deep learning evaluation across Pakistan's climatic regimes.. Scientific reports. https://doi.org/10.1038/s41598-026-50979-0

Source records