Classification of Underwater Fish Species Using Custom-Built Deep Learning Architectures
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7817-5_17
Reference20 articles.
1. S.O. Ogunlana, O. Olabode, S.A.A. Oluwadare, G.B. Iwasokun, Fish classification using support vector machine. Afr J Comp ICTs 8(2), 75–82 (2015)
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3. D. Rathi, S. Jain, S. Indu, in 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR). Underwater Fish Species Classification using Convolutional Neural Network and Deep Learning (Bangalore, 2017), pp. 1–6. https://doi.org/10.1109/ICAPR.2017.8593044
4. A. Salman, A. Jalal, F. Shafait, A. Mian, M. Shortis, J. Seager, E. Harvey, Fish species classification in unconstrained underwater environments based on deep learning. Limnol. Oceanogr. Methods 14, 570–585 (2016). https://doi.org/10.1002/lom3.10113
5. E. Prasetyo, N. Suciati, C. Fatichah, Multi-level residual network VGGNet for fish species classification. J. King Saud Univ. Comput. Inf. Sci. ISSN 1319-1578. https://doi.org/10.1016/j.jksuci.2021.05.015. (https://www.sciencedirect.com/science/article/pii/S1319157821001300)
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