Fine particulate matter concentrations forecasting using long short-term memory network and meteorological inputs
BACKGROUND AND OBJECTIVES: In metropolitan settings, the requirement to travel and participate in everyday tasks exposes numerous individuals to the harmful effects of air pollutants, specifically particulate matter 2.5, which has the potential to impact their well-being. Developing precise forecast...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
GJESM Publisher
2024-10-01
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| Series: | Global Journal of Environmental Science and Management |
| Subjects: | |
| Online Access: | https://www.gjesm.net/article_713740_1f8b5c8bb9a4b57db70bff90a7856e5c.pdf |
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