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

<div>Graph of a sample of the dataset, displaying the hourly PM10 concentration from January 2000 to March 2000. It can be seen the high variations in concentration in that period of time.</div>

Discrete Dynamics in Nature and Society

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Figure 2

Figure 2: Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction 