Repositorio Universidad del Desarrollo
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Forecasting PM2.5 levels in Santiago de Chile using deep learning neural networks
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 accurate models to predict high pollution events for this and other pollutants. We present different
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