,使SKNet-ViT

Fanlei Lu1, Weihua Gui1, Yulong Wang1

  • 1School of Automation, Central South University, Changsha 410083, China.

PubMed
概括

这项研究引入了一个新的框架,通过融合图像特征来预测泡漂浮中的度等级. 该方法有效量化不确定性,提高工业过程的预测稳定性和准确性.

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