An Efficient Method for Capturing the High Peak Concentrations of PM<sub>2.5</sub> Using Gaussian-Filtered Deep Learning

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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Detalles Bibliográficos
Autores principales: Inchoon Yeo, Yunsoo Choi
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
air-quality
Gaussian filtering
deep learning
CNN
high peak forecasting of PM<sub>2.5</sub>
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Acceso en línea:https://doaj.org/article/c0f60351b6164ad097f32db20f70547e
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https://doaj.org/article/c0f60351b6164ad097f32db20f70547e

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