Search Results - Thongthammachart, Tin

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  1. 1
    An integrated model combining random forests and WRF/CMAQ model for high accuracy spatiotemporal PM2.5 predictions in the Kansai region of Japan

    An integrated model combining random forests and WRF/CMAQ model for high accuracy spatiotemporal PM2.5 predictions in the Kansai region of Japan by Thongthammachart, Tin, Araki, Shin, Shimadera, Hikari, Eto, Shinnosuke, Matsuo, Tomohito, Kondo, Akira

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  2. 2
    Estimating PM2.5 concentrations with statistical distribution techniques for health risk assessment in Bangkok

    Estimating PM2.5 concentrations with statistical distribution techniques for health risk assessment in Bangkok by Thongthammachart, Tin, Jinsart, Wanida

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  3. 3
    Incorporating Light Gradient Boosting Machine to land use regression model for estimating NO2 and PM2.5 levels in Kansai region, Japan

    Incorporating Light Gradient Boosting Machine to land use regression model for estimating NO2 and PM2.5 levels in Kansai region, Japan by Thongthammachart, Tin, Araki, Shin, Shimadera, Hikari, Matsuo, Tomohito, Kondo, Akira

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  4. 4
    Land use regression model established using Light Gradient Boosting Machine incorporating the WRF/CMAQ model for highly accurate spatiotemporal PM2.5 estimation in the central region of Thailand

    Land use regression model established using Light Gradient Boosting Machine incorporating the WRF/CMAQ model for highly accurate spatiotemporal PM2.5 estimation in the central regi... by Thongthammachart, Tin, Shimadera, Hikari, Araki, Shin, Matsuo, Tomohito, Kondo, Akira

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  5. 5
    Estimating PM 2.5 concentrations with statistical distribution techniques for health risk assessment in Bangkok

    Estimating PM 2.5 concentrations with statistical distribution techniques for health risk assessment in Bangkok by Thongthammachart, Tin, Jinsart, Wanida

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  6. 6
    Improving Machine Learning Based PM2.5 Prediction by Segregating Biomass Emission Factor from Chemical Transport Model

    Improving Machine Learning Based PM2.5 Prediction by Segregating Biomass Emission Factor from Chemical Transport Model by Sukprasert Supitcha, Shimadera Hikari, Araki Shin, Thongthammachart Tin, Thanasutives Pongpisit, Viet Mui Luong, Matsuo Tomohito, Kondo Akira

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  7. 7
    Improving Machine Learning Based PM 2.5 Prediction by Segregating Biomass Emission Factor from Chemical Transport Model

    Improving Machine Learning Based PM 2.5 Prediction by Segregating Biomass Emission Factor from Chemical Transport Model by Sukprasert, Supitcha, Shimadera, Hikari, Araki, Shin, Thongthammachart, Tin, Thanasutives, Pongpisit, Viet Mui, Luong, Matsuo, Tomohito, Kondo, Akira

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