A complex network approach for fish species recognition based on otolith shape (2022)
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, IMAGEM DIGITAL, RECONHECIMENTO DE IMAGEM, INTELIGÊNCIA ARTIFICIAL
ABNT
RIBAS, Lucas Correia e SCABINI, Leonardo e BRUNO, Odemir Martinez. A complex network approach for fish species recognition based on otolith shape. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784114. Acesso em: 01 set. 2024.APA
Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). A complex network approach for fish species recognition based on otolith shape. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784114NLM
Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2024 set. 01 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114Vancouver
Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2024 set. 01 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114