Data-driven climatic zoning and future trend forecasting in Chad using artificial neural networks

Yaya Dagal Dari, Idriss Dagal

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DOI: 10.1038/s41598-026-49381-7
Published: 2026-04-25
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/s41598-026-49381-7,
  title = {Data-driven climatic zoning and future trend forecasting in Chad using artificial neural networks},
  author = {Yaya Dagal Dari and Idriss Dagal},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-49381-7},
  url = {https://doi.org/10.1038/s41598-026-49381-7}
}

RIS

TY  - JOUR
TI  - Data-driven climatic zoning and future trend forecasting in Chad using artificial neural networks
AU  - Yaya Dagal Dari
AU  - Idriss Dagal
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-49381-7
UR  - https://doi.org/10.1038/s41598-026-49381-7
ER  -

APA

Dari, Y. D., & Dagal, I. (2026). Data-driven climatic zoning and future trend forecasting in Chad using artificial neural networks. Scientific Reports. https://doi.org/10.1038/s41598-026-49381-7

Source records

crossref · retrieved 2026-09-26T06:27:28.947Z