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Information Journal Paper

Title

Predicting ground-level PM2. 5 concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach

Author(s)

  | Issue Writer Certificate 

Pages

  735-749

Keywords

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Abstract

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    APA: Copy

    . (2019). Predicting ground-level PM2. 5 concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach. ENVIRONMENTAL POLLUTION, 249(-), 735-749. SID. https://sid.ir/paper/696710/en

    Vancouver: Copy

    . Predicting ground-level PM2. 5 concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach. ENVIRONMENTAL POLLUTION[Internet]. 2019;249(-):735-749. Available from: https://sid.ir/paper/696710/en

    IEEE: Copy

    , “Predicting ground-level PM2. 5 concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach,” ENVIRONMENTAL POLLUTION, vol. 249, no. -, pp. 735–749, 2019, [Online]. Available: https://sid.ir/paper/696710/en

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