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Filtros : "MINERALOGIA" "CARNEIRO, CLEYTON DE CARVALHO" Limpar

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  • Artigo de periodico

    Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy (2023)

    Costa, Fabrizzio Rodrigues ; Carneiro, Cleyton de Carvalho ; Ulsen, Carina

    Source: Mining. Unidade: EP

    Subjects: MINERALOGIA, CARACTERIZAÇÃO TECNOLÓGICA DE MINÉRIOS, OURO, REDES NEURAIS

    Versão PublicadaAcesso à fonteDOIHow to cite
    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. Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy. Mining, v. 3, n. 2, p. 230-240, 2023Tradução . . Disponível em: https://doi.org/10.3390/mining3020014. Acesso em: 17 out. 2024.

    • APA

      Costa, F. R., Carneiro, C. de C., & Ulsen, C. (2023). Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy. Mining, 3( 2), 230-240. doi:10.3390/mining3020014

    • NLM

      Costa FR, Carneiro C de C, Ulsen C. Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy [Internet]. Mining. 2023 ; 3( 2): 230-240.[citado 2024 out. 17 ] Available from: https://doi.org/10.3390/mining3020014

    • Vancouver

      Costa FR, Carneiro C de C, Ulsen C. Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy [Internet]. Mining. 2023 ; 3( 2): 230-240.[citado 2024 out. 17 ] Available from: https://doi.org/10.3390/mining3020014

  • Artigo de periodico

    Stepped machine learning for the development of mineral models: Concepts and applications in the pre-salt reservoir carbonate rocks (2021)

    Oliveira, Lucas Abreu Blanes de; Custódio, Luiz Felipe Niedermaier; Fagundes, Thais Bortotti; Ulsen, Carina ; Carneiro, Cleyton de Carvalho

    Source: Energy and AI. Unidade: EP

    Subjects: GEOQUÍMICA, CONCENTRAÇÃO DE MINERAIS, MINERALOGIA, PRÉ-SAL

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      OLIVEIRA, Lucas Abreu Blanes de et al. Stepped machine learning for the development of mineral models: Concepts and applications in the pre-salt reservoir carbonate rocks. Energy and AI, v. 3, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.egyai.2021.100050. Acesso em: 17 out. 2024.

    • APA

      Oliveira, L. A. B. de, Custódio, L. F. N., Fagundes, T. B., Ulsen, C., & Carneiro, C. de C. (2021). Stepped machine learning for the development of mineral models: Concepts and applications in the pre-salt reservoir carbonate rocks. Energy and AI, 3, 1-13. doi:10.1016/j.egyai.2021.100050

    • NLM

      Oliveira LAB de, Custódio LFN, Fagundes TB, Ulsen C, Carneiro C de C. Stepped machine learning for the development of mineral models: Concepts and applications in the pre-salt reservoir carbonate rocks [Internet]. Energy and AI. 2021 ;3 1-13.[citado 2024 out. 17 ] Available from: https://doi.org/10.1016/j.egyai.2021.100050

    • Vancouver

      Oliveira LAB de, Custódio LFN, Fagundes TB, Ulsen C, Carneiro C de C. Stepped machine learning for the development of mineral models: Concepts and applications in the pre-salt reservoir carbonate rocks [Internet]. Energy and AI. 2021 ;3 1-13.[citado 2024 out. 17 ] Available from: https://doi.org/10.1016/j.egyai.2021.100050
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