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1 Ergebnisse
1
Fine-Tuned CNN with Data Augmentation for 3D Printer Fault ..:
, In:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
,
Rachmawati, Syifa Maliah
;
Paramartha Putra, Made Adi
;
Jun, Taesoo
.. - p. 902-905 , 2022
Link:
https://doi.org/10.1109/ICTC55196.2022.9952484
RT T1 <cTitle>2022 13th International Conference on Information and Communication Technology Convergence (ICTC)</cTitle>: T1 <Title>Fine-Tuned CNN with Data Augmentation for 3D Printer Fault Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9952484&Exemplar=1&LAN=DE A1 Rachmawati, Syifa Maliah A1 Paramartha Putra, Made Adi A1 Jun, Taesoo A1 Kim, Dong-Seong A1 Lee, Jae-Min YR 2022 SN 2162-1241 K1 Deep learning K1 Training K1 Solid modeling K1 Three-dimensional displays K1 Simulation K1 Three-dimensional printing K1 Data models K1 Convolutional Neural Network K1 Fault Classification K1 Data Augmentation SP 902 OP 905 LK http://dx.doi.org/https://doi.org/10.1109/ICTC55196.2022.9952484 DO https://doi.org/10.1109/ICTC55196.2022.9952484 SF ELIB - SuUB Bremen
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