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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/16/3/320 |
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