Research on a hybrid deep learning model based on two-stage decomposition and an improved whale optimization algorithm for air quality index prediction
The Air Quality Index (AQI) is a crucial metric for assessing the severity of air pollution, making accurate AQI forecasting essential for air quality management. A hybrid deep learning model is developed for AQI prediction, incorporating two-stage decomposition and hyperparameter optimization. The...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Engineering Applications of Computational Fluid Mechanics |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19942060.2025.2507753 |
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