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1 Ergebnisse
1
A CNN and TF Techniques Development for Efficient Identific..:
, In:
2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)
,
Prasad, M.
;
Lakshmi, K. Ajita
;
Pbv, Raja Rao
... - p. 327-332 , 2024
Link:
https://doi.org/10.1109/IC2PCT60090.2024.10486528
RT T1 <cTitle>2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)</cTitle>: T1 <Title>A CNN and TF Techniques Development for Efficient Identification of Floral Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10486528&Exemplar=1&LAN=DE A1 Prasad, M. A1 Lakshmi, K. Ajita A1 Pbv, Raja Rao A1 Prasanthi, B V A1 Sree, Pokkuluri Kiran A1 Babu, V. Rajesh A1 Das, G. Sudheer YR 2024 K1 Training K1 Technological innovation K1 Neural networks K1 Focusing K1 Machine learning K1 Flowering plants K1 User experience K1 AI K1 CNN K1 Flower Image classification K1 TensorFlow K1 Medicinal properties SP 327 OP 332 LK http://dx.doi.org/https://doi.org/10.1109/IC2PCT60090.2024.10486528 DO https://doi.org/10.1109/IC2PCT60090.2024.10486528 SF ELIB - SuUB Bremen
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