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1 Ergebnisse
1
Comparative study of convolutional neural networks for leaf..:
, In:
International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2023)
,
Kunjachan, S.
;
Remya, R.
;
Kumar, S.
... - p. None , 2023
Link:
https://doi.org/10.1049/icp.2023.1756
RT T1 <cTitle>International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2023)</cTitle>: T1 <Title>Comparative study of convolutional neural networks for leaf classification in Ayurveda</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10269232&Exemplar=1&LAN=DE A1 Kunjachan, S. A1 Remya, R. A1 Kumar, S. A1 Asish, G. R. A1 Sheela, K. A1 Kala, S. YR 2023 K1 convolutional neural nets K1 deep learning (artificial intelligence) K1 feature extraction K1 image classification K1 plant diseases K1 Ayurveda K1 ayurvedic medicines K1 deep learning models K1 EfficientV2M K1 healthcare K1 herbs K1 leaf classification K1 main essence K1 MobileNetV2 K1 repute K1 ResNet-50 K1 sourcing K1 state-of-the-art convolutional neural networks K1 VGG-16 SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1756 DO https://doi.org/10.1049/icp.2023.1756 SF ELIB - SuUB Bremen
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