A hybrid artificial neural network-random forest model for enhanced wet bulb temperature prediction in arid urban environments.
- DOI
- 10.1038/s41598-026-43644-z
- Published
- 2026 Apr 26
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-43644-z,
title = {A hybrid artificial neural network-random forest model for enhanced wet bulb temperature prediction in arid urban environments.},
author = {Kafy AA and Rafi AH and Alsulamy S and Shohan AAA and Baky AA and Bahiru TK},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-43644-z},
url = {https://doi.org/10.1038/s41598-026-43644-z}
}RIS
TY - JOUR TI - A hybrid artificial neural network-random forest model for enhanced wet bulb temperature prediction in arid urban environments. AU - Kafy AA AU - Rafi AH AU - Alsulamy S AU - Shohan AAA AU - Baky AA AU - Bahiru TK PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-43644-z UR - https://doi.org/10.1038/s41598-026-43644-z ER -
APA
AA, K., AH, R., S, A., AAA, S., AA, B., & TK, B. (2026). A hybrid artificial neural network-random forest model for enhanced wet bulb temperature prediction in arid urban environments.. Scientific reports. https://doi.org/10.1038/s41598-026-43644-z
Source records
- pubmed · retrieved 2026-09-26T10:43:43.585Z