基于图像处理方法和卷积神经网络的连续和分段芯片几何形状的自动评估

Q2 Engineering

Journal of Machine Engineering Pub Date : 2022-11-04 DOI:10.36897/jme/156091

H. Klippel, Samuel Pflaum, M. Kuffa, K. Wegener

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automated Evaluation of Continuous and Segmented Chip Geometries Based on Image Processing Methods and a Convolutional Neural Network

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来源期刊

Journal of Machine Engineering Engineering-Industrial and Manufacturing Engineering

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

25 weeks

期刊介绍： ournal of Machine Engineering is a scientific journal devoted to current issues of design and manufacturing - aided by innovative computer techniques and state-of-the-art computer systems - of products which meet the demands of the current global market. It favours solutions harmonizing with the up-to-date manufacturing strategies, the quality requirements and the needs of design, planning, scheduling and production process management. The Journal'' s subject matter also covers the design and operation of high efficient, precision, process machines. The Journal is a continuator of Machine Engineering Publisher for five years. The Journal appears quarterly, with a circulation of 100 copies, with each issue devoted entirely to a different topic. The papers are carefully selected and reviewed by distinguished world famous scientists and practitioners. The authors of the publications are eminent specialists from all over the world and Poland. Journal of Machine Engineering provides the best assistance to factories and universities. It enables factories to solve their difficult problems and manufacture good products at a low cost and fast rate. It enables educators to update their teaching and scientists to deepen their knowledge and pursue their research in the right direction.