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Updated: Jul 25, 2025

Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System
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LASSO和attention-TCN:一种用于室内颗粒物预测的并发方法

Ting Shi1, Wu Yang1, Ailin Qi1

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

Applied intelligence (Dordrecht, Netherlands)
|June 26, 2023
PubMed
概括

这项研究介绍了LATCN,这是一个用于预测室内空气污染 (颗粒物) 的新模型. 与较旧的方法相比,LATCN提高了准确性和速度,识别了诸如湿度和温度等关键环境因素.

关键词:
同时预测的同时预测.环境因素 环境因素室内PM度在室内PM度在室内在LATCN预测模型中.

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