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Research on the recognition of aircraft fuel pump parts bas..:
, In:
CSAA/IET International Conference on Aircraft Utility Systems (AUS 2022)
,
Cui, Z.
;
Tian, Q.
;
Yang, Y.
. - p. None , 2022
Link:
https://doi.org/10.1049/icp.2022.1672
RT T1 <cTitle>CSAA/IET International Conference on Aircraft Utility Systems (AUS 2022)</cTitle>: T1 <Title>Research on the recognition of aircraft fuel pump parts based on deep learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9946163&Exemplar=1&LAN=DE A1 Cui, Z. A1 Tian, Q. A1 Yang, Y. A1 Yang, C. YR 2022 K1 computer vision K1 flexible manufacturing systems K1 fuel pumps K1 machinery production industries K1 neural nets K1 production engineering computing K1 deep learning (artificial intelligence) K1 aircraft fuel pump parts K1 deep learning K1 production lines K1 machine vision K1 flexible manufacturing development K1 aircraft fuel pumps K1 parts recognition method K1 depth learning K1 transfer learning method K1 Inception-v3 SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.1672 DO https://doi.org/10.1049/icp.2022.1672 SF ELIB - SuUB Bremen
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