Modelling the Daily Concentration of Airborne Particles Using 1D Convolutional Neural Networks
This paper focuses on improving the prediction of the daily concentration of the pollutants, PM<sub>10</sub> and nitrogen oxides (NO, NO<sub>2</sub>) in the air at urban monitoring sites using 1D convolutional neural networks (CNN). The results show that the 1D CNN model outp...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-07-01
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| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/68/1/16 |
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