Transforming air pollution management in India with AI and machine learning technologies
Author:
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-71269-7.pdf
Reference142 articles.
1. Masood, A. & Ahmad, K. A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance. J. Clean. Prod. 322, 129072 (2021).
2. WHO. Atlas on Children’s Health and the Environment. (2017).
3. Jiang, X. Q., Mei, X. D. & Feng, D. Air pollution and chronic airway diseases: what should people know and do?. J. Thorac. Dis. 8, E31–E40 (2016).
4. Hayes, R. B. et al. PM25 air pollution and cause-specific cardiovascular disease mortality. Int. J. Epidemiol. 49, 25–35 (2020).
5. Shakya, D., Deshpande, V., Goyal, M. K. & Agarwal, M. PM2.5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi. India. J. Clean. Prod. 427, 139278 (2023).
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