Predictive Analysis of Air Pollutants Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7982-8_23
Reference26 articles.
1. Sethi JK, Mittal M (2020) Monitoring the impact of air quality on the COVID-19 fatalities in Delhi, India: using machine learning techniques. Disaster Med Public Health Prep. https://doi.org/10.1017/dmp.2020.372
2. Amuthadevi C, Vijayan DS, Ramachandran V (2021) Development of air quality monitoring (AQM) models using different machine learning approaches. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02724-2
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4. Liang YC, Maimury Y, Chen AHL, Juarez JRC (2020) Machine learning-based prediction of air quality. Appl Sci 10(24):1–17. https://doi.org/10.3390/app10249151
5. Gao H, Wang J, Li T, Fang C (2021) Analysis of air quality changes and influencing factors in changchun during the covid-19 pandemic in 2020. Aerosol Air Qual Res 21(9). https://doi.org/10.4209/aaqr.210055
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