Optimizing air quality predictions: A discrete wavelet transform and long short‐term memory approach with wavelet‐type selection for hourly PM 10 concentrations
The rapid advancement of industrialization and urbanization has led to the global problem of air pollution. Air quality can decrease due to pollutants in the air, including types of gases and particles that are carcinogenic, causing adverse health effects. Therefore, estimating the concentration of...
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| Published in | Journal of chemometrics Vol. 38; no. 4 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
01.04.2024
|
| Online Access | Get full text |
| ISSN | 0886-9383 1099-128X |
| DOI | 10.1002/cem.3539 |
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