An Efficient Method for Capturing the High Peak Concentrations of PM<sub>2.5</sub> Using Gaussian-Filtered Deep Learning
This paper proposes a deep learning model that integrates a convolutional neural network with a gate circulation unit that captures patterns of high-peak PM<sub>2.5</sub> concentrations. The purpose is to accurately predict high-peak PM<sub>2.5</sub> concentration data that c...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/c0f60351b6164ad097f32db20f70547e |
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