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预测美国西部每日消防人员部署趋势

Kevin Young1, Erin Belval2, Karin Riley3

  • 1Department of Earth and Ocean Sciences, University of North Carolina Wilmington, 601 South College Rd., Wilmington, North Carolina, 28403, USA.

Journal of environmental management
|October 3, 2024
PubMed
概括

机器学习模型预测了消防人员的需求,考虑了结构受到威胁和烧毁的英等因素. 这有助于管理稀缺的资源,因为美国西部的野火威胁日益增加.

关键词:
在 CatBoost 中使用 CatBoost.消防员 消防员 消防员 消防员消防人员的消防人员.机器学习 机器学习建模建模模型是什么野火 野火 在野火

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