Time-sensitive prediction of NO2 concentration in china using an ensemble machine learning model from multi-source data

MLA

Chenliang Tao, et al. “Time-Sensitive Prediction of NO2 Concentration in China Using an Ensemble Machine Learning Model from Multi-Source Data.” Journal of Environmental Sciences, vol. 137, Mar. 2024, pp. 30–40. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........a209c5e807189a6b6baee76a3c8338aa&authtype=sso&custid=ns315887.

APA

Chenliang Tao, Man Jia, Guoqiang Wang, Yuqiang Zhang, Qingzhu Zhang, Xianfeng Wang, Qiao Wang, & Wenxing Wang. (2024). Time-sensitive prediction of NO2 concentration in china using an ensemble machine learning model from multi-source data. Journal of Environmental Sciences, 137, 30–40.

Chicago

Chenliang Tao, Man Jia, Guoqiang Wang, Yuqiang Zhang, Qingzhu Zhang, Xianfeng Wang, Qiao Wang, and Wenxing Wang. 2024. “Time-Sensitive Prediction of NO2 Concentration in China Using an Ensemble Machine Learning Model from Multi-Source Data.” Journal of Environmental Sciences 137 (March): 30–40. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........a209c5e807189a6b6baee76a3c8338aa&authtype=sso&custid=ns315887.