摘要详情
109 / 2021-07-25 14:16:18
Quality Prediction of Laer Induced Graphene using Convolutional Neural Network
终稿
Laser induced graphene (LIG) technology is considered as the most effective method of massively producing 3D graphene. However, the identification of whether the product of laser producing process is graphene or something else is not trifling. In this paper, we utilize a machine learning method to predict the production quality of LIG utilizing the images captured by a high-speed camera during the manufacturing process. The experimental result shows that the convolutional neural network (CNN)-based method can successfully distinguish different production qualities with high accuracy.
重要日期
-
会议日期
10月21日
2021
至10月23日
2021
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10月26日 2021
注册截止日期
主办单位
Southeast University, China
联系方式
历届会议
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2023年11月02日 中国 China
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2023年11月02日 中国 Xi'an
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2020年10月15日 中国 Xi'an
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