Predicting Anthropogenic Wildfire Occurrence Using Explainable Machine Learning Models: A Nationwide Case Study of South Korea.

Saved in:
Bibliographic Details
Title: Predicting Anthropogenic Wildfire Occurrence Using Explainable Machine Learning Models: A Nationwide Case Study of South Korea.
Authors: Cho, Mingyun1 (AUTHOR), Park, Chan2 (AUTHOR) chaneparkmomo7@uos.ac.kr
Source: Fire (2571-6255). Mar2026, Vol. 9 Issue 3, p126. 20p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first