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1 Ergebnisse
1
Faults identification with deep CNN fine-tuned ResNet50 mod..:
, In:
13th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2023)
,
Abid, M.
;
ul Haq, I.
;
Cai, Z.
. - p. None , 2023
Link:
https://doi.org/10.1049/icp.2023.1693
RT T1 <cTitle>13th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2023)</cTitle>: T1 <Title>Faults identification with deep CNN fine-tuned ResNet50 model for rolling bearings</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10541997&Exemplar=1&LAN=DE A1 Abid, M. A1 ul Haq, I. A1 Cai, Z. A1 Zhang, S. YR 2023 SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1693 DO https://doi.org/10.1049/icp.2023.1693 SF ELIB - SuUB Bremen
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