Identifying and Analyzing Data Model Requirements and Technology Potentials of Machine Learning Systems in the Manufacturing Industry of the Future-Reference-Cited by-同舟云学术

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Identifying and Analyzing Data Model Requirements and Technology Potentials of Machine Learning Systems in the Manufacturing Industry of the Future

Published:2020-10-15 Issue: Volume: Page:
ISSN:
Container-title:2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)
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Author:

Schuh Gunter¹,Scholz Paul²,Leich Thomas³,May Richard³

Affiliation:

1. RWTH Aachen University,Laboratory for Machine Tools and Production Engineering (WZL),Aachen,Germany

2. Fraunhofer Institute for Production Technology IPT RWTH Aachen University,Aachen,Germany

3. Harz University of Applied Sciences,Department of Automation and Computer Science,Wernigerode,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9259223/9259224/09259303.pdf?arnumber=9259303

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Concept for the Evaluation and Prioritization of Machine Learning Use Cases in Industrial Production;2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2023-12-18

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