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Penghu Li

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Open access Aug 2026

Rapid prediction of vehicle interior wind noise via a hybrid convolutional neural network-transformer model and geometric styling features

A convolutional neural network transformer-based prediction method for vehicle interior wind noise by integrating vehicle styling features and acoustic technical parameters is proposed, which was compared with convolutional neural network (CNN), long short-term memory (LSTM), and transformer models.

Hongwei Yi, Penghu Li, Jifeng Wang et al. · 0 citations