Explainable machine learning for climate change attribution and hotspot identification: spatial cross-validation analysis in South Asian Region.
- DOI
- 10.1038/s41598-026-57382-9
- Published
- 2026 Jun 23
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-57382-9,
title = {Explainable machine learning for climate change attribution and hotspot identification: spatial cross-validation analysis in South Asian Region.},
author = {Chand R and Sheikh S and Kanjwani B and Bukhari S and Kumar H},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-57382-9},
url = {https://doi.org/10.1038/s41598-026-57382-9}
}RIS
TY - JOUR TI - Explainable machine learning for climate change attribution and hotspot identification: spatial cross-validation analysis in South Asian Region. AU - Chand R AU - Sheikh S AU - Kanjwani B AU - Bukhari S AU - Kumar H PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-57382-9 UR - https://doi.org/10.1038/s41598-026-57382-9 ER -
APA
R, C., S, S., B, K., S, B., & H, K. (2026). Explainable machine learning for climate change attribution and hotspot identification: spatial cross-validation analysis in South Asian Region.. Scientific reports. https://doi.org/10.1038/s41598-026-57382-9
Source records
- pubmed · retrieved 2026-09-26T07:54:39.820Z