Forecasting PM2.5 levels in Santiago de Chile using deep learning neural networks

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Abstract

Air pollution has been shown to have a direct effect on human health. In particular, PM2.5 has been proven to be related to cardiovascular and respiratory problems. Therefore, it is important to have ...

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Citation

Menares, C., Perez, P., Parraguez, S., Fleming, Z.L.: Forecasting PM2.5 levels in Santiago de Chile using deep learning neural networks (2021), Urban Environment, 38, 100906, doi.org/10.1016/j.uclim.2021.100906

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