Silva, Clíssia Barboza da 
; Silva, Alysson Alexander Naves ; Barroso, Geovanny ; Yamamoto, Pedro Takao ; Arthur, Valter ; Toledo, Claudio Fabiano Motta ; Mastrangelo, Thiago de Araújo
Fonte: Foods. Unidades: ESALQ, CENA, ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, GORGULHOS, MILHO, RADIOGRAFIA, REDES NEURAIS
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SILVA, Clíssia Barboza da et al. Convolutional neural networks using enhanced radiographs for real-time detection of Sitophilus zeamais in maize grain. Foods, v. 10, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.3390/foods10040879. Acesso em: 21 ago. 2024.APA
Silva, C. B. da, Silva, A. A. N., Barroso, G., Yamamoto, P. T., Arthur, V., Toledo, C. F. M., & Mastrangelo, T. de A. (2021). Convolutional neural networks using enhanced radiographs for real-time detection of Sitophilus zeamais in maize grain. Foods, 10, 1-13. doi:10.3390/foods10040879NLM
Silva CB da, Silva AAN, Barroso G, Yamamoto PT, Arthur V, Toledo CFM, Mastrangelo T de A. Convolutional neural networks using enhanced radiographs for real-time detection of Sitophilus zeamais in maize grain [Internet]. Foods. 2021 ; 10 1-13.[citado 2024 ago. 21 ] Available from: https://doi.org/10.3390/foods10040879Vancouver
Silva CB da, Silva AAN, Barroso G, Yamamoto PT, Arthur V, Toledo CFM, Mastrangelo T de A. Convolutional neural networks using enhanced radiographs for real-time detection of Sitophilus zeamais in maize grain [Internet]. Foods. 2021 ; 10 1-13.[citado 2024 ago. 21 ] Available from: https://doi.org/10.3390/foods10040879
