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  • Artigo de periodico

    Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images (2023)

    Rubo, Rafael Andrello; Michelon, Mateus Fontana; Carneiro, Cleyton de Carvalho

    Source: Earth Science Informatics. Unidade: EP

    Subjects: PETROGRAFIA, INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      RUBO, Rafael Andrello e MICHELON, Mateus Fontana e CARNEIRO, Cleyton de Carvalho. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images. Earth Science Informatics, p. 10 2023, 2023Tradução . . Disponível em: https://doi.org/10.1007/s12145-022-00901-9. Acesso em: 31 maio 2024.

    • APA

      Rubo, R. A., Michelon, M. F., & Carneiro, C. de C. (2023). Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images. Earth Science Informatics, 10 2023. doi:10.1007/s12145-022-00901-9

    • NLM

      Rubo RA, Michelon MF, Carneiro C de C. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images [Internet]. Earth Science Informatics. 2023 ;10 2023.[citado 2024 maio 31 ] Available from: https://doi.org/10.1007/s12145-022-00901-9

    • Vancouver

      Rubo RA, Michelon MF, Carneiro C de C. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images [Internet]. Earth Science Informatics. 2023 ;10 2023.[citado 2024 maio 31 ] Available from: https://doi.org/10.1007/s12145-022-00901-9

  • Artigo de periodico

    Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river (2021)

    Vieira, Alen Costa; Garcia, Gabriel; Pabón, Rosa Elvira Correa ; Cota, Luciano Perdigão ; Souza, Paulo de; Ueyama, Jó ; Pessin, Gustavo

    Source: Earth Science Informatics. Unidade: ICMC

    Subjects: ESTUDO DE CASO, ALGORITMOS GENÉTICOS, RIOS, REGRESSÃO LINEAR

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

    • ABNT

      VIEIRA, Alen Costa et al. Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river. Earth Science Informatics, v. 14, p. 37-50, 2021Tradução . . Disponível em: https://doi.org/10.1007/s12145-020-00528-8. Acesso em: 31 maio 2024.

    • APA

      Vieira, A. C., Garcia, G., Pabón, R. E. C., Cota, L. P., Souza, P. de, Ueyama, J., & Pessin, G. (2021). Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river. Earth Science Informatics, 14, 37-50. doi:10.1007/s12145-020-00528-8

    • NLM

      Vieira AC, Garcia G, Pabón REC, Cota LP, Souza P de, Ueyama J, Pessin G. Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river [Internet]. Earth Science Informatics. 2021 ; 14 37-50.[citado 2024 maio 31 ] Available from: https://doi.org/10.1007/s12145-020-00528-8

    • Vancouver

      Vieira AC, Garcia G, Pabón REC, Cota LP, Souza P de, Ueyama J, Pessin G. Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river [Internet]. Earth Science Informatics. 2021 ; 14 37-50.[citado 2024 maio 31 ] Available from: https://doi.org/10.1007/s12145-020-00528-8
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