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...
Bewaard in:
| Hoofdauteurs: | , , , |
|---|---|
| Formaat: | Статья |
| Taal: | English |
| Gepubliceerd in: |
Institute of Physics Publishing
2019
|
| Onderwerpen: | |
| Online toegang: | 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 |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|
Internet
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