PM10 and PM2.5 real-time prediction models using an interpolated convolutional neural network

Abstract In this paper, we propose a real-time prediction model that can respond to particulate matters (PM) in the air, which are an indication of poor air quality. The model applies interpolation to air quality and weather data and then uses a Convolutional Neural Network (CNN) to predict PM conce...

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Autores principales: Sangwon Chae, Joonhyeok Shin, Sungjun Kwon, Sangmok Lee, Sungwon Kang, Donghyun Lee
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/3830b8fdb2bc4eb888ec0b6ae92c3406
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