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Quantum Resnet18 for Classifying and Predicting the Maize L..:
, In:
2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
,
Kujani, T.
;
R, Bhuvanya.
;
T, Sathya
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/RAEEUCCI61380.2024.10547895
RT T1 <cTitle>2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)</cTitle>: T1 <Title>Quantum Resnet18 for Classifying and Predicting the Maize Leaf Diseases</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10547895&Exemplar=1&LAN=DE A1 Kujani, T. A1 R, Bhuvanya. A1 T, Sathya A1 Arivubrakan, P. A1 Usha, V. A1 R, Thangaselvi. YR 2024 K1 Quantum computing K1 Economic indicators K1 Transfer learning K1 Sociology K1 Crops K1 Computer architecture K1 Agriculture K1 Maize leaf disease K1 Quantum K1 Classification K1 Transfer Learning K1 Convolution Neural Network K1 ResNet18 SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/RAEEUCCI61380.2024.10547895 DO https://doi.org/10.1109/RAEEUCCI61380.2024.10547895 SF ELIB - SuUB Bremen
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