Multimodal fusion for athlete state prediction leveraging XLNet and deep generative models
The accurate prediction of athletes’ psychological and physiological states is essential for optimizing training performance . However, current methods often struggle to effectively integrate multimodal data, limiting prediction accuracy and practical application. To address these challenges, we pro...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825008440 |
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