- “Application of Random Forest for Air Quality Forecasting in Beijing, China” (2018) by Y. Liu, C. Li, et al. published in the Journal of Environmental Informatics Letters.
Link: https://www.degruyter.com/document/doi/10.1515/jeil-2018-0016/html
- “Random forest regression analysis of air quality index data for prediction and identification of pollution sources in Chennai, India” (2019) by R. Ganesan and S. Raja published in the Journal of Environmental Science and Health, Part A.
Link: https://www.tandfonline.com/doi/full/10.1080⁄10934529.2019.1666707
- “PCA-Based Source Apportionment and Chemical Characterization of Atmospheric Fine Particulate Matter During Haze Episodes in Shanghai” (2020) by L.Yang, X.Li, et al. published in the Journal of Aerosol Science.
Link: https://www.sciencedirect.com/science/article/pii/S0021850220301146
- “A Comparison Study on the Performance of PCA-Based and EEMD-Based Neural Network Models for Air Quality Prediction” (2020) by L.Wang, W.Tian, et al., published in the Journal of Atmosphere.
Link: https://www.mdpi.com/2073-4433/11/12/1396
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