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Style transfer for CNC machine input data preprocessing

Style transfer for CNC machine input data preprocessing

Advances in deep neural networks have led to impressive results in recent years. The new technologies such as cross-domain adaptation, reinforcement learning and generative adversarial networks have shown a real promise for industrial and real-life applications. In this paper, the results of the exp...

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Bibliographic Details
Main Authors: Nikolaev, E. I., Николаев, Е. И., Zakharova, N. I., Захарова, Н. И.
Format: Статья
Language:English
Published: Institute of Physics Publishing 2019
Subjects:
Computer control systems
Deep neural networks
Engineering education
Numerical control systems
Reinforcement learning
Binary images
Online Access:https://www.scopus.com/record/display.uri?eid=2-s2.0-85076353555&origin=resultslist&sort=plf-f&src=s&st1=Style+Transfer+for+CNC+Machine+Input+Data+Preprocessing&st2=&sid=d26f2c404dd20f2650d6d115a369a105&sot=b&sdt=b&sl=70&s=TITLE-ABS-KEY%28Style+Transfer+for+CNC+Machine+Input+Data+Preprocessing%29&relpos=0&citeCnt=0&searchTerm=
https://dspace.ncfu.ru/handle/20.500.12258/10144
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85076353555&origin=resultslist&sort=plf-f&src=s&st1=Style+Transfer+for+CNC+Machine+Input+Data+Preprocessing&st2=&sid=d26f2c404dd20f2650d6d115a369a105&sot=b&sdt=b&sl=70&s=TITLE-ABS-KEY%28Style+Transfer+for+CNC+Machine+Input+Data+Preprocessing%29&relpos=0&citeCnt=0&searchTerm=
https://dspace.ncfu.ru/handle/20.500.12258/10144

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