An intelligent IoT–machine learning framework for wildfire detection and prediction using a hybrid RF–XGB model
- DOI
- 10.1038/s41598-026-52395-w
- Published
- 2026-05-13
- 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/s41598-026-52395-w,
title = {An intelligent IoT–machine learning framework for wildfire detection and prediction using a hybrid RF–XGB model},
author = {Ahmed A. Radhi and Abdullahi A. Ibrahim},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-52395-w},
url = {https://doi.org/10.1038/s41598-026-52395-w}
}RIS
TY - JOUR TI - An intelligent IoT–machine learning framework for wildfire detection and prediction using a hybrid RF–XGB model AU - Ahmed A. Radhi AU - Abdullahi A. Ibrahim PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-52395-w UR - https://doi.org/10.1038/s41598-026-52395-w ER -
APA
Radhi, A. A., & Ibrahim, A. A. (2026). An intelligent IoT–machine learning framework for wildfire detection and prediction using a hybrid RF–XGB model. Scientific Reports. https://doi.org/10.1038/s41598-026-52395-w
Source records
- crossref · retrieved 2026-09-26T02:10:46.990Z