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Fusion of Environmental Sensing on PM2.5 and Deep Learning on Vehicle Detecting for Acquiring Roadside PM2.5 Concentration Increments

机译：PM2.5对环境感应的融合与车辆检测获取路边PM2.5浓度增量

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Wen-Cheng Vincent Wang; Tai-Hung Lin; Chun-Hu Liu; Chih-Wen Su; Shih-Chun Candice Lung;
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1. Tracking separate contributions of diesel and gasoline vehicles to roadside PM2.5 through online monitoring of volatile organic compounds and PM2.5 organic and elemental carbon: a 6-year study in Hong Kong [J] . Wong Yee Ka, Huang X. H. Hilda, Louie Peter K. K., Atmospheric Chemistry and Physics Discussions . 2020,第16期

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2. Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model [J] . Li Junming, Jin Meijun, Li Honglin Annals of the American Thoracic Society . 2019,第3期

机译：使用发达的深卷积神经网络模型探索远程感测PM2.5浓度的空间影响
3. Assessing PM2.5 concentrations in Tehran, Iran, from space using MAIAC, deep blue, and dark target AOD and machine learning algorithms [J] . Seyed Omid Nabavi, Leopold Haimberger, Esmail Abbasi Atmospheric Pollution Research . 2019,第3期

机译：评估德黑兰，伊朗的PM2.5浓度，从空间使用MAIAC，深蓝色和黑暗目标AOD和机器学习算法
4. Spatial and temporal variation of the oxidative potential of PM2.5 and its relation to PM2.5 mass concentrations [C] . Aileen Yang, Bryan Hellack, Gerard Hoek, Annual conference of the International Society of Exposure Science . 2014

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5. Source apportionment of speciated PM2.5 and non-parametric regressions of PM2.5 and PM(coarse) mass concentrations from Denver and Greeley, Colorado, and construction and evaluation of dichotomous filter samplers [D] . Piedrahita, Ricardo A. 2010

机译：来自科罗拉多州丹佛市和格里利市的特定PM2.5的来源分摊以及PM2.5和PM（粗）质量浓度的非参数回归以及二分滤器采样器的构建和评估
6. Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model [O] . Junming Li, Meijun Jin, Honglin Li 2019

机译：使用已开发的深度卷积神经网络模型探索遥感PM2.5浓度的空间影响
7. Estimation of PM2.5 Concentrations in New York State: Understanding the Influence of Vertical Mixing on Surface PM2.5 Using Machine Learning [O] . Wei-Ting Hung, Cheng-Hsuan (Sarah) Lu, Stefano Alessandrini, 2020

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8. Assessment of the Contribution of Traffic Emissions to the Mobile Vehicle Measured PM2.5 Concentration by Means of WRF-CMAQ Simulations. [R] . Molders, N. 2012

机译：评估交通排放对移动车辆的贡献通过WRF-CmaQ模拟测量pm2.5浓度。

Fusion of Environmental Sensing on PM2.5 and Deep Learning on Vehicle Detecting for Acquiring Roadside PM2.5 Concentration Increments

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