Author:
Friederich Jonas,Francis Deena P.,Lazarova-Molnar Sanja,Mohamed Nader
Subject
General Engineering,General Computer Science
Reference72 articles.
1. Digital Twin as a Service (DTaaS) in Industry 4.0: an Architecture Reference Model;Aheleroff;Adv. Eng. Inform.,2021
2. Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing;Alexopoulos;Int. J. Comput. Integr. Manuf.,2020
3. Enhanced classification of events for manufacturing companies in supply networks;Bauer;Procedia CIRP,2019
4. Becker, P. , Roth, C. , Roennau, A. ,Dillmann, R. , Acoustic Anomaly Detection in Additive Manufacturing with Long Short-Term Memory Neural Networks in 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA), Apr. 2020, pp. 921–926. doi: 10.1109/ICIEA49774.2020.9102002.
5. Berti, A. , van Zelst, S.J. , van der Aalst, W. , Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science,” arXiv:1905.06169 [cs], May 2019, Accessed: Dec. 07, 2021. [Online]. Available: 〈http://arxiv.org/abs/1905.06169〉.
Cited by
111 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