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1 Ergebnisse
1
Future Trends and Short-Review on Fish Species Classificati..:
, In:
2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
,
Bhanumathi, M.
;
Arthi, B.
- p. 01-05 , 2022
Link:
https://doi.org/10.1109/ICAISS55157.2022.10011087
RT T1 <cTitle>2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)</cTitle>: T1 <Title>Future Trends and Short-Review on Fish Species Classification Models Based on Deep Learning Approaches</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10011087&Exemplar=1&LAN=DE A1 Bhanumathi, M. A1 Arthi, B. YR 2022 K1 Deep learning K1 Training K1 Machine learning algorithms K1 Shape K1 Current measurement K1 Manuals K1 Fish K1 Fish Species Classification K1 Deep Learning Approaches K1 Convolutional Neural Network K1 Deep Neural Network K1 Dataset K1 Algorithmic Classification K1 Experimental Tools K1 Recognized Fish Species K1 Binary species K1 Multiple Species SP 01 OP 05 LK http://dx.doi.org/https://doi.org/10.1109/ICAISS55157.2022.10011087 DO https://doi.org/10.1109/ICAISS55157.2022.10011087 SF ELIB - SuUB Bremen
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