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Updated: Jul 4, 2025

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欧洲夏季野火的时空特征与可解释的人工智能 (XAI) 的归因

Hanyu Li1, Stenka Vulova2, Alby Duarte Rocha1

  • 1Geoinformation in Environmental Planning Lab, Department of Landscape Architecture and Environmental Planning, Technical University of Berlin, 10623 Berlin, Germany.

The Science of the total environment
|January 26, 2024
PubMed
概括

欧洲的野火司机使用可解释的人工智能来识别. 关键因素包括南部的陆地表面温度和太阳辐射,以及北部的植被和降水,有助于预防工作.

关键词:
驱动力是驱动力的驱动力.火灾风险 发生火灾的危险机器学习是机器学习.沙普利添加剂扩展法 沙普利添加剂扩展法时间空间的变化.植物生长 植物生长

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