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Updated: Jan 10, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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使用JOA优化的CNN-LSTM预测CBN切削工具的表面粗度和工具磨损

Subash Khetre1, Arunkumar Bongale2, Satish Kumar1,3

  • 1Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune Campus, Pune, Maharashtra, India.

Scientific reports
|November 29, 2025
PubMed
概括

一个混合深度学习模型准确地预测了难以切割的Inconel 718加工中的表面粗度和工具磨损. 这种方法为智能制造应用提供了实时,无传感器的监控.

关键词:
在美国,CNN是CNN.侧翼的穿戴方式在Inconel 71818中使用.乔亚 乔亚 是一个人.这是LSTM的LSTM.表面的粗度 表面的粗度

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