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Updated: Jul 19, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

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机器学习算法用于在连续造过程中基于数据的过程条件包含预测:一个案例研究

Yixiang Zhang1, Zenggui Gao1, Jiachen Sun1

  • 1Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

这项研究开发了一种机器学习算法,以使用传感器数据预测连续造板块中的渣包含缺陷. 一个优化的随机森林模型证明了在钢铁制造业中加强质量控制的卓越性能.

关键词:
一个案例研究研究.连续造 连续造 连续造一个不平衡的数据集.收录 收录 包含 收录机器学习是机器学习.质量预测质量预测

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