Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction

<div>Behavior of PM10 concentrations by year in the month of August since 2000 to 2018. The boxplots let us see the differences in the median, quartiles, and outliers.</div>

Discrete Dynamics in Nature and Society

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Figure 4

Figure 4: Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction 