Data-driven predictive modeling of PM2.5 concentrations using machine learning and deep learning techniques: a case study of Delhi, India
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-022-10603-w.pdf
Reference49 articles.
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4. Agirre-Basurko, E., Ibarra-Berastegi, G., & Madariaga, I. (2006). Regression and multilayer perceptron-based models to forecast hourly O3 and NO2 levels in the Bilbao area. Environmental Modelling & Software, 21(4), 430–446.
5. Akhtar, A., Masood, S., Gupta, C., & Masood, A. (2018). Prediction and analysis of pollution levels in Delhi using multilayer perceptron. In Data engineering and intelligent computing (pp. 563–572). Springer, Singapore.
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