相关实验视频

Updated: Sep 9, 2025

An Anaerobic Biosensor Assay for the Detection of Mercury and Cadmium
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An Anaerobic Biosensor Assay for the Detection of Mercury and Cadmium

Published on: December 17, 2018

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机器学习和反事实推理集成的决定框架用于整治:由铁板调节驱动的预测优化和成本效益分析

Ye Li1, Jie Hou2, Mengqi Liu2

  • 1School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China.

Journal of hazardous materials
|August 30, 2025
PubMed
概括

这项研究引入了一种机器学习框架,用于预测大米中的 (Cd) 积累,从而实现积极的土壤整治. 它确定了铁斑,Fe和pH等关键因素,以实现有效的,经济高效的环境管理.

关键词:
反事实推断环境整治机器学习大米中的污染场景模拟

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