Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks

Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks

Various machine learning algorithms exist to predict air quality, but they can only analyse structured data gathered from monitoring stations. However, the concentration of certain pollutants, such as PM<sub>2.5</sub> and PM<sub>10</sub>, can be visually significant when ther...

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Bibliographic Details
Main Authors: Kenneth Chan, Paul Matthews, Kamran Munir
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Atmosphere
Subjects:
air pollution
machine learning-based prediction
image analysis
air quality
convolutional neural network (CNN)
recurrent neural network (RNN)
Online Access:https://www.mdpi.com/2073-4433/16/3/320
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