A novel optimal-hybrid model for daily air quality index prediction considering interpretability
Bibliographic Data
| ID | 15110372 |
|---|---|
| Authors | Zhirong Zhang (0009-0009-9734-7126, Chang'an University, corresponding author), Lili Pei (0000-0002-1084-8289, Chang'an University, corresponding author), Zhenzhen Xing (0009-0002-4634-9446, Chang'an University, corresponding author), Jun Hao (0000-0002-6909-1751, Chang'an University, corresponding author) |
| Year | 2025 |
| Publication date | 2025-10-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment Development and Sustainability (JOURNAL) |
| Journal identifiers | ISSN: 1387-585X • E-ISSN: 1573-2975 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10668-025-06853-6 |
| OpenAlex | W4415473867 |
| Language | EN |
| References cited | 45 |
Adaptability · Air quality index · Bayesian probability · Hilbert–Huang transform · Interpretability · Predictive modelling · Time series · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Solar Radiation and Photovoltaics
Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution
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Explainable Artificial Intelligence (XAI)
Beyond borders
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| Highly cited | No |
|---|