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1 Ergebnisse
1
Data augmentation for Improving Rice Leaf Disease Classific..:
, In:
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
,
Shaji, Athira P.
;
S, Hemalatha
- p. 1-7 , 2022
Link:
https://doi.org/10.1109/ACCAI53970.2022.9752495
RT T1 <cTitle>2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)</cTitle>: T1 <Title>Data augmentation for Improving Rice Leaf Disease Classification on Residual Network Architecture</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9752495&Exemplar=1&LAN=DE A1 Shaji, Athira P. A1 S, Hemalatha YR 2022 K1 Deep learning K1 Training K1 Computational modeling K1 Fitting K1 Computer architecture K1 Data models K1 Convolutional neural networks K1 Deep Learning K1 Residual network K1 Convolutional layer K1 Disease detection K1 Data Augmentation SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ACCAI53970.2022.9752495 DO https://doi.org/10.1109/ACCAI53970.2022.9752495 SF ELIB - SuUB Bremen
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