Filtros : " GRU015" "Universidade Federal do Mato Grosso do Sul - UFMS - Campo Grande - MS" Removidos: "CRISTALOGRAFIA" "Research School of Earth Sciences, Australian National University" "Oliveira, Samuel Leite de" "1924" "Mestrado Profissionalizante" Limpar

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  • Source: Pattern Recognition. Unidade: IFSC

    Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      SCABINI, Leonardo Felipe dos Santos et al. RADAM: texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition, v. No 2023, p. 109802-1-109802-13 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109802. Acesso em: 16 out. 2024.
    • APA

      Scabini, L. F. dos S., Zielinski, K. M. C., Ribas, L. C., Gonçalves, W. N., Baets, B. D., & Bruno, O. M. (2023). RADAM: texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition, No 2023, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109802
    • NLM

      Scabini LF dos S, Zielinski KMC, Ribas LC, Gonçalves WN, Baets BD, Bruno OM. RADAM: texture recognition through randomized aggregated encoding of deep activation maps [Internet]. Pattern Recognition. 2023 ; No 2023 109802-1-109802-13 + supplementary materials.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
    • Vancouver

      Scabini LF dos S, Zielinski KMC, Ribas LC, Gonçalves WN, Baets BD, Bruno OM. RADAM: texture recognition through randomized aggregated encoding of deep activation maps [Internet]. Pattern Recognition. 2023 ; No 2023 109802-1-109802-13 + supplementary materials.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
  • Source: ACS Applied Energy Materials. Unidades: IFSC, IQ

    Subjects: FOTOCATÁLISE, PROPRIEDADES DOS MATERIAIS, ESTRÔNCIO

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      CENTURION, Higor Andrade et al. Constructing particulate p-n heterojunction Mo:SrTiO3/ NiO@Ni(OH)2 for enhanced H2 evolution under simulated solar light. ACS Applied Energy Materials, v. 5, n. 10, p. 12727-12738 + supporting information, 2022Tradução . . Disponível em: https://doi.org/10.1021/acsaem.2c02337. Acesso em: 16 out. 2024.
    • APA

      Centurion, H. A., Rabelo, L. G., Rodríguez-Gutiérrez, I., Ferrer, M. M., Bettini, J., Wender, H., et al. (2022). Constructing particulate p-n heterojunction Mo:SrTiO3/ NiO@Ni(OH)2 for enhanced H2 evolution under simulated solar light. ACS Applied Energy Materials, 5( 10), 12727-12738 + supporting information. doi:10.1021/acsaem.2c02337
    • NLM

      Centurion HA, Rabelo LG, Rodríguez-Gutiérrez I, Ferrer MM, Bettini J, Wender H, Rossi LM, Souza FL de, Gonçalves RV. Constructing particulate p-n heterojunction Mo:SrTiO3/ NiO@Ni(OH)2 for enhanced H2 evolution under simulated solar light [Internet]. ACS Applied Energy Materials. 2022 ; 5( 10): 12727-12738 + supporting information.[citado 2024 out. 16 ] Available from: https://doi.org/10.1021/acsaem.2c02337
    • Vancouver

      Centurion HA, Rabelo LG, Rodríguez-Gutiérrez I, Ferrer MM, Bettini J, Wender H, Rossi LM, Souza FL de, Gonçalves RV. Constructing particulate p-n heterojunction Mo:SrTiO3/ NiO@Ni(OH)2 for enhanced H2 evolution under simulated solar light [Internet]. ACS Applied Energy Materials. 2022 ; 5( 10): 12727-12738 + supporting information.[citado 2024 out. 16 ] Available from: https://doi.org/10.1021/acsaem.2c02337

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