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Updated: May 4, 2026

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
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ConvFormer-KDE:基于多源空间和时间数据的PM2.5的长期点间隔预测框架

Shaofu Lin1, Yuying Zhang1, Xingjia Fei1

  • 1Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.

Toxics
|August 28, 2024
PubMed
概括

本研究引入了ConvFormer-KDE,用于准确的长期预测细颗粒物 (PM2.5) 度及其不确定性. 该模型改进了传统方法,为环境管理和公共卫生警告提供了可靠的基础.

关键词:
卷积神经网络是一种卷积神经网络.微细颗粒物质的细颗粒物质的细颗粒物质的细颗粒物质的细颗粒物质.间隔预测 间隔预测核密度估计核密度估计长期点预测预测的长期点预测.变压器的变压器是一个变压器.

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