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Predicting potential fire severity in Türkiye’s diverse forested areas: a SHAP-integrated random forest classification approach
Research article (Stochastic Environmental Research and Risk Assessment, 2024) · cited 11× · AI/ML
Predicting potential fire severity in Türkiye’s diverse forested areas: a SHAP-integrated random forest classification approach
Summary
Predicting potential fire severity in Türkiye’s diverse forested areas: a SHAP-integrated random forest classification approach is a scholarly article[1].
Key Facts
Predicting potential fire severity in Türkiye’s diverse forested areas: a SHAP-integrated random forest classification approach's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Predicting potential fire severity in Türkiye’s diverse forested areas: a SHAP-integrated random forest classification approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-potential-fire-severity-in-turkiyes-diverse-forested-areas-a-shap-integrated-random-forest-classification-app
MLA“Predicting potential fire severity in Türkiye’s diverse forested areas: a SHAP-integrated random forest classification approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-potential-fire-severity-in-turkiyes-diverse-forested-areas-a-shap-integrated-random-forest-classification-app.
BibTeX@misc{4ortxyz_predicting-potential-fire-severity-in-turkiyes-diverse-forested-areas-a-shap-integrated-random-forest-classification-app_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting potential fire severity in Türkiye’s diverse forested areas: a SHAP-integrated random forest classification approach}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-potential-fire-severity-in-turkiyes-diverse-forested-areas-a-shap-integrated-random-forest-classification-app}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting potential fire severity in Türkiye’s diverse forested areas: a SHAP-integrated random forest classification approach — https://4ort.xyz/entity/predicting-potential-fire-severity-in-turkiyes-diverse-forested-areas-a-shap-integrated-random-forest-classification-app (retrieved 2026-05-24)
