Source: Sustainability. Unidade: EESC
Subjects: AERONAVES NÃO TRIPULADAS, REDES NEURAIS
ABNT
GUIMARÃES, Tainá Thomassim et al. Evaluation of regression analysis and neural networks to predict total suspended solids in water bodies from unmanned aerial vehicle images. Sustainability, 2019Tradução . . Disponível em: https://doi.org/10.3390/su11092580. Acesso em: 30 set. 2024.APA
Guimarães, T. T., Veronez, M. R., Koste, E. C., Souza, E. M. de, Brum, D., Gonzaga Junior, L., & Mauad, F. F. (2019). Evaluation of regression analysis and neural networks to predict total suspended solids in water bodies from unmanned aerial vehicle images. Sustainability. doi:10.3390/su11092580NLM
Guimarães TT, Veronez MR, Koste EC, Souza EM de, Brum D, Gonzaga Junior L, Mauad FF. Evaluation of regression analysis and neural networks to predict total suspended solids in water bodies from unmanned aerial vehicle images [Internet]. Sustainability. 2019 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.3390/su11092580Vancouver
Guimarães TT, Veronez MR, Koste EC, Souza EM de, Brum D, Gonzaga Junior L, Mauad FF. Evaluation of regression analysis and neural networks to predict total suspended solids in water bodies from unmanned aerial vehicle images [Internet]. Sustainability. 2019 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.3390/su11092580