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1 Ergebnisse
1
3D Printer State Monitoring Mobile Application through a De..:
, In:
2022 IEEE International Symposium on Advanced Control of Industrial Processes (AdCONIP)
,
Sampedro, Gabriel Avelino
;
Agron, Dannielle Jaye
;
Huyo-a, Shekinah Lor
... - p. 283-284 , 2022
Link:
https://doi.org/10.1109/AdCONIP55568.2022.9894151
RT T1 <cTitle>2022 IEEE International Symposium on Advanced Control of Industrial Processes (AdCONIP)</cTitle>: T1 <Title>3D Printer State Monitoring Mobile Application through a Deep Learning Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9894151&Exemplar=1&LAN=DE A1 Sampedro, Gabriel Avelino A1 Agron, Dannielle Jaye A1 Huyo-a, Shekinah Lor A1 Abisado, Mideth A1 Kim, Dong-Seong A1 Lee, Jae-Min YR 2022 K1 Temperature measurement K1 Temperature sensors K1 Performance evaluation K1 Deep learning K1 Three-dimensional displays K1 Three-dimensional printing K1 Prediction algorithms K1 3D printing K1 deep learning K1 mobile application SP 283 OP 284 LK http://dx.doi.org/https://doi.org/10.1109/AdCONIP55568.2022.9894151 DO https://doi.org/10.1109/AdCONIP55568.2022.9894151 SF ELIB - SuUB Bremen
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