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Updated: Jan 29, 2026

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
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Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

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工具磨损预测方法的研究基于CNN-ResNet-CBAM-BiGRU的研究

Bo Sun1, Hao Wang1, Jian Zhang1

  • 1School of Mechanical and Vehicle Engineering, Changchun University, Changchun 130022, China.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究引入了一种混合深度学习模型,用于精确预测工具磨损. 这种新的方法增强了特征提取和时间依赖模型,大大提高了预测准确性和稳定性.

关键词:
在CBAM注意力机制.双向封闭的循环单位.混合深度学习是混合深度学习.剩余神经网络 剩余神经网络工具磨损预测 工具磨损预测

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