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1 Ergebnisse
1
Generative manifold learning thermography for non-destructi..:
, In:
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)
,
Liu, Kaixin
;
Fan, Yu
;
Zhang, Kuan
... - p. 432-437 , 2021
Link:
https://doi.org/10.1109/DDCLS52934.2021.9455598
RT T1 <cTitle>2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)</cTitle>: T1 <Title>Generative manifold learning thermography for non-destructive evaluation of defects in composite materials</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9455598&Exemplar=1&LAN=DE A1 Liu, Kaixin A1 Fan, Yu A1 Zhang, Kuan A1 Yang, Jianguo A1 Yao, Yuan A1 Liu, Yi YR 2021 SN 2767-9861 K1 Data analysis K1 Composite materials K1 Data visualization K1 Optical fiber networks K1 Inspection K1 Feature extraction K1 Generative adversarial networks K1 non-destructive evaluation K1 generative adversarial network K1 manifold learning K1 thermographic data analysis K1 carbon fiber reinforced polymer SP 432 OP 437 LK http://dx.doi.org/https://doi.org/10.1109/DDCLS52934.2021.9455598 DO https://doi.org/10.1109/DDCLS52934.2021.9455598 SF ELIB - SuUB Bremen
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