Enhanced CO<sub>2</sub> Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm
The accurate prediction of carbon dioxide (CO<sub>2</sub>) emissions from light-duty vehicles is critical for mitigating environmental impacts and enhancing regulatory compliance in the automotive industry. However, challenges such as high-dimensional feature spaces, feature redundancy,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/10/1627 |
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