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Artigo de periodico
Predicting gold accessibility from mineralogical characterization using machine learning algorithms (2024)
Costa, Fabrizzio Rodrigues ; Carneiro, Cleyton de Carvalho ; Ulsen, Carina
Source: Journal of Materials Research and Technology. Unidade: EP
Subjects: ANÁLISE DE DADOS, MINERALOGIA APLICADA, MINÉRIOS, OURO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Fabrizzio Rodrigues e CARNEIRO, Cleyton de Carvalho e ULSEN, Carina. Predicting gold accessibility from mineralogical characterization using machine learning algorithms. Journal of Materials Research and Technology, v. 29, p. 10 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.jmrt.2024.01.139. Acesso em: 12 ago. 2024.
APA
Costa, F. R., Carneiro, C. de C., & Ulsen, C. (2024). Predicting gold accessibility from mineralogical characterization using machine learning algorithms. Journal of Materials Research and Technology, 29, 10 . doi:10.1016/j.jmrt.2024.01.139
NLM
Costa FR, Carneiro C de C, Ulsen C. Predicting gold accessibility from mineralogical characterization using machine learning algorithms [Internet]. Journal of Materials Research and Technology. 2024 ;29 10 .[citado 2024 ago. 12 ] Available from: https://doi.org/10.1016/j.jmrt.2024.01.139
Vancouver
Costa FR, Carneiro C de C, Ulsen C. Predicting gold accessibility from mineralogical characterization using machine learning algorithms [Internet]. Journal of Materials Research and Technology. 2024 ;29 10 .[citado 2024 ago. 12 ] Available from: https://doi.org/10.1016/j.jmrt.2024.01.139
Artigo de periodico
Process mineralogy of Li-Enriched pegmatite combining laboratory mineral separations and SEM-Based automated image analysis (2023)
Timich, Marco; Contessotto, Renato; Ulsen, Carina
Source: Minerals. Unidade: EP
Subjects: MINERALOGIA, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TIMICH, Marco e CONTESSOTTO, Renato e ULSEN, Carina. Process mineralogy of Li-Enriched pegmatite combining laboratory mineral separations and SEM-Based automated image analysis. Minerals, v. 13, n. 3 , p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/min13030343. Acesso em: 12 ago. 2024.
APA
Timich, M., Contessotto, R., & Ulsen, C. (2023). Process mineralogy of Li-Enriched pegmatite combining laboratory mineral separations and SEM-Based automated image analysis. Minerals, 13( 3 ), 1-19. doi:10.3390/min13030343
NLM
Timich M, Contessotto R, Ulsen C. Process mineralogy of Li-Enriched pegmatite combining laboratory mineral separations and SEM-Based automated image analysis [Internet]. Minerals. 2023 ; 13( 3 ): 1-19.[citado 2024 ago. 12 ] Available from: https://doi.org/10.3390/min13030343
Vancouver
Timich M, Contessotto R, Ulsen C. Process mineralogy of Li-Enriched pegmatite combining laboratory mineral separations and SEM-Based automated image analysis [Internet]. Minerals. 2023 ; 13( 3 ): 1-19.[citado 2024 ago. 12 ] Available from: https://doi.org/10.3390/min13030343
Artigo de periodico
Imputation of gold recovery data from low grade gold ore using artifical neural network (2023)
Costa, Fabrizzio Rodrigues ; Carneiro, Cleyton de Carvalho ; Ulsen, Carina
Source: Minerals. Unidade: EP
Subjects: REDES NEURAIS, ANÁLISE DE DADOS, OURO, MINERALOGIA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Fabrizzio Rodrigues e CARNEIRO, Cleyton de Carvalho e ULSEN, Carina. Imputation of gold recovery data from low grade gold ore using artifical neural network. Minerals, v. 13, n. 3, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.3390/min13030340. Acesso em: 12 ago. 2024.
APA
Costa, F. R., Carneiro, C. de C., & Ulsen, C. (2023). Imputation of gold recovery data from low grade gold ore using artifical neural network. Minerals, 13( 3), 1-15. doi:10.3390/min13030340
NLM
Costa FR, Carneiro C de C, Ulsen C. Imputation of gold recovery data from low grade gold ore using artifical neural network [Internet]. Minerals. 2023 ; 13( 3): 1-15.[citado 2024 ago. 12 ] Available from: https://doi.org/10.3390/min13030340
Vancouver
Costa FR, Carneiro C de C, Ulsen C. Imputation of gold recovery data from low grade gold ore using artifical neural network [Internet]. Minerals. 2023 ; 13( 3): 1-15.[citado 2024 ago. 12 ] Available from: https://doi.org/10.3390/min13030340

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