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Updated: Jan 15, 2026

Generation of Shear Adhesion Map Using SynVivo Synthetic Microvascular Networks
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通过SHAP动态参数的融合策略预测道路粘附系数

Yi Gong1, Qiuyue Du2, Fei Wang1

  • 1School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China.

Scientific reports
|October 13, 2025
PubMed
概括

这项研究引入了一种用于估计道路附着系数的新方法,这对于车辆安全至关重要. 先进的数据融合模型在各种驾驶条件下显著提高了预测准确性和稳定性.

关键词:
贝叶斯神经网络是一个贝叶斯神经网络.数据融合数据融合可以解释的机器学习道路粘附系数 道路粘附系数支持矢量回归的支持矢量回归

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