Filtros : "ULSEN, CARINA" "MINERALOGIA APLICADA" Removido: "Financiamento CENPES" Limpar

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  • Source: Journal of Materials Research and Technology. Unidade: EP

    Subjects: ANÁLISE DE DADOS, MINERALOGIA APLICADA, MINÉRIOS, OURO

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    • 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: 17 out. 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 out. 17 ] 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 out. 17 ] Available from: https://doi.org/10.1016/j.jmrt.2024.01.139
  • Source: Minerals. Unidade: EP

    Subjects: REDES NEURAIS, ANÁLISE DE DADOS, OURO, MINERALOGIA APLICADA

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    • 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: 17 out. 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 out. 17 ] 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 out. 17 ] Available from: https://doi.org/10.3390/min13030340
  • Source: Proceedings of the International Congress for Applied Mineralogy. Conference titles: International Congress for Applied Mineralogy -ICAM. Unidade: EP

    Subjects: MINERALOGIA APLICADA, ELEMENTOS QUÍMICOS

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    • ABNT

      ANTONIASSI, Juliana Lívi et al. Assessment and characterization of REE minerals from an alkali-carbonatitic complex. 2015, Anais.. Cham, Switzerland: Springer, 2015. Disponível em: https://doi.org/10.1007/978-3-319-13948-7_18. Acesso em: 17 out. 2024.
    • APA

      Antoniassi, J. L., Uliana, D., Kahn, H., Tassinari, M. M. M. L., & Ulsen, C. (2015). Assessment and characterization of REE minerals from an alkali-carbonatitic complex. In Proceedings of the International Congress for Applied Mineralogy. Cham, Switzerland: Springer. doi:10.1007/978-3-319-13948-7_18
    • NLM

      Antoniassi JL, Uliana D, Kahn H, Tassinari MMML, Ulsen C. Assessment and characterization of REE minerals from an alkali-carbonatitic complex [Internet]. Proceedings of the International Congress for Applied Mineralogy. 2015 ;[citado 2024 out. 17 ] Available from: https://doi.org/10.1007/978-3-319-13948-7_18
    • Vancouver

      Antoniassi JL, Uliana D, Kahn H, Tassinari MMML, Ulsen C. Assessment and characterization of REE minerals from an alkali-carbonatitic complex [Internet]. Proceedings of the International Congress for Applied Mineralogy. 2015 ;[citado 2024 out. 17 ] Available from: https://doi.org/10.1007/978-3-319-13948-7_18

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