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1 Ergebnisse
1
Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, ..:
, In:
2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
,
Yadav, Ajay Pratap Singh
;
Thapliyal, Nitin
;
Aeri, Manisha
.. - p. 1-4 , 2024
Link:
https://doi.org/10.1109/ICRITO61523.2024.10522276
RT T1 <cTitle>2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)</cTitle>: T1 <Title>Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10522276&Exemplar=1&LAN=DE A1 Yadav, Ajay Pratap Singh A1 Thapliyal, Nitin A1 Aeri, Manisha A1 Kukreja, Vinay A1 Sharma, Rishabh YR 2024 SN 2769-2884 K1 Deep learning K1 Visualization K1 Biological system modeling K1 Pipelines K1 Crops K1 Soil K1 Convolutional neural networks K1 Deep Learning K1 Grapevine Disease Classification K1 VGG16 K1 VGG19 K1 Agricultural AI K1 Plant Pathology SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICRITO61523.2024.10522276 DO https://doi.org/10.1109/ICRITO61523.2024.10522276 SF ELIB - SuUB Bremen
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