Source: Proceedings. Conference titles: International Conference on Sensing Technology (ICST). Unidade: EESC
Subjects: CLOROFILA, DEPOSIÇÃO DE SEDIMENTOS, REDES NEURAIS
ABNT
KUPSSINSKÜ, Lucas Silveira et al. Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks. Proceedings. Sydney: IEEE. Disponível em: https://doi.org/10.1109/ICST46873.2019.9047682. Acesso em: 10 nov. 2024. , 2019APA
Kupssinskü, L. S., Guimarães, T. T., Freitas, R. de, Souza, E. M. de, Rossa, P., Marques Junior, A., et al. (2019). Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks. Proceedings. Sydney: IEEE. doi:10.1109/ICST46873.2019.9047682NLM
Kupssinskü LS, Guimarães TT, Freitas R de, Souza EM de, Rossa P, Marques Junior A, Veronez MR, Gonzaga Junior L, Cazarin CL, Mauad FF. Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks [Internet]. Proceedings. 2019 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/ICST46873.2019.9047682Vancouver
Kupssinskü LS, Guimarães TT, Freitas R de, Souza EM de, Rossa P, Marques Junior A, Veronez MR, Gonzaga Junior L, Cazarin CL, Mauad FF. Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks [Internet]. Proceedings. 2019 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/ICST46873.2019.9047682