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Vehicle CO₂ emission prediction based on firefly with ant colony optimization tuned long short-term memory model
Accurate vehicle-level CO₂ emission prediction is essential for regulatory planning and greener powertrain design. This study presents an integrated FA-ACO-LSTM framework for estimating vehicle-level tailpipe CO₂ emissions from standard vehicle descriptors. The contribution lies in combining leakage
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