Crossmark

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

Crossref DOI link: https://doi.org/10.1038/s41598-026-49381-7

Published Online: 2026-04-25

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Dari, Yaya Dagal https://orcid.org/0000-0003-0373-0394
Dagal, Idriss https://orcid.org/0000-0002-2073-8956
License Information

Text and Data Mining valid from 2026-04-25

Accepted Manuscript valid from 2026-04-25
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Article History

Received: 11 September 2025

Accepted: 14 April 2026

First Online: 25 April 2026

Declarations

:

: The authors declare no competing interests.