Filtros : "TEXTURA" "Brasil" Removidos: "Dissertação (Mestrado)" "Anais. CBECIMAT 2006. São Paulo, IPEN, 2006" Limpar

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  • Source: Physica A. Unidades: IFSC, ICMC

    Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, TEXTURA

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      RIBAS, Lucas Correia et al. Color-texture classification based on spatio-spectral complex network representations. Physica A, v. 635, p. 129518-1-129518-15, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2024.129518. Acesso em: 15 out. 2024.
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      Ribas, L. C., Scabini, L. F. dos S., Condori, R. H. M., & Bruno, O. M. (2024). Color-texture classification based on spatio-spectral complex network representations. Physica A, 635, 129518-1-129518-15. doi:10.1016/j.physa.2024.129518
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      Ribas LC, Scabini LF dos S, Condori RHM, Bruno OM. Color-texture classification based on spatio-spectral complex network representations [Internet]. Physica A. 2024 ; 635 129518-1-129518-15.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
    • Vancouver

      Ribas LC, Scabini LF dos S, Condori RHM, Bruno OM. Color-texture classification based on spatio-spectral complex network representations [Internet]. Physica A. 2024 ; 635 129518-1-129518-15.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
  • Source: Pattern Analysis and Applications. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, TEXTURA

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      RIBAS, Lucas Correia et al. Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications, v. 27, p. 23-1-23-12, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10044-024-01230-x. Acesso em: 15 out. 2024.
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      Ribas, L. C., Scabini, L. F. dos S., Sá Júnior, J. J. de M., & Bruno, O. M. (2024). Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications, 27, 23-1-23-12. doi:10.1007/s10044-024-01230-x
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      Ribas LC, Scabini LF dos S, Sá Júnior JJ de M, Bruno OM. Local complex features learned by randomized neural networks for texture analysis [Internet]. Pattern Analysis and Applications. 2024 ; 27 23-1-23-12.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s10044-024-01230-x
    • Vancouver

      Ribas LC, Scabini LF dos S, Sá Júnior JJ de M, Bruno OM. Local complex features learned by randomized neural networks for texture analysis [Internet]. Pattern Analysis and Applications. 2024 ; 27 23-1-23-12.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s10044-024-01230-x
  • Source: Pattern Recognition. Unidades: IFSC, EP

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

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      ZIELINSKI, Kallil Miguel Caparroz et al. A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, v. 146, p. 109802-1-109802-13 + supplementary materials, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109946. Acesso em: 15 out. 2024.
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      Zielinski, K. M. C., Ribas, L. C., Machicao, J., & Bruno, O. M. (2024). A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, 146, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109946
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      Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
    • Vancouver

      Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
  • Source: Pattern Recognition. Unidade: IFSC

    Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA, RECONHECIMENTO DE PADRÕES

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      RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Learning a complex network representation for shape classification. Pattern Recognition, v. 154, p. 110566-1-110566-10 + supplementary data, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2024.110566. Acesso em: 15 out. 2024.
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      Ribas, L. C., & Bruno, O. M. (2024). Learning a complex network representation for shape classification. Pattern Recognition, 154, 110566-1-110566-10 + supplementary data. doi:10.1016/j.patcog.2024.110566
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      Ribas LC, Bruno OM. Learning a complex network representation for shape classification [Internet]. Pattern Recognition. 2024 ; 154 110566-1-110566-10 + supplementary data.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.patcog.2024.110566
    • Vancouver

      Ribas LC, Bruno OM. Learning a complex network representation for shape classification [Internet]. Pattern Recognition. 2024 ; 154 110566-1-110566-10 + supplementary data.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.patcog.2024.110566
  • Source: Pattern Recognition. Unidade: IFSC

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

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      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: 15 out. 2024.
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      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
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      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. 15 ] 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. 15 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
  • Source: Smart Innovation and Technologies. Unidade: EEL

    Subjects: GELEIAS, ARMAZENAGEM DE ALIMENTOS, TEXTURA

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      GUIMARÃES, Daniela Helena Pelegrine et al. Physical, Chemical and Rheological Properties of Blueberry Jam. Smart Innovation and Technologies. Tradução . [S.l.]: Springer International Publishing, 2022. v. 1. p. 436-442. Disponível em: https://doi.org/10.1007/978-3-031-04435-9_44. Acesso em: 15 out. 2024.
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      Guimarães, D. H. P., Alves, G. L., Querido, A. F., Castillo, P. F. A., & Rosa, M. T. de M. G. (2022). Physical, Chemical and Rheological Properties of Blueberry Jam. In Smart Innovation and Technologies (Vol. 1, p. 436-442). Springer International Publishing. doi:10.1007/978-3-031-04435-9_44
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      Guimarães DHP, Alves GL, Querido AF, Castillo PFA, Rosa MT de MG. Physical, Chemical and Rheological Properties of Blueberry Jam [Internet]. In: Smart Innovation and Technologies. Springer International Publishing; 2022. p. 436-442.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/978-3-031-04435-9_44
    • Vancouver

      Guimarães DHP, Alves GL, Querido AF, Castillo PFA, Rosa MT de MG. Physical, Chemical and Rheological Properties of Blueberry Jam [Internet]. In: Smart Innovation and Technologies. Springer International Publishing; 2022. p. 436-442.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/978-3-031-04435-9_44
  • Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC

    Subjects: FRACTAIS, TEXTURA, IMAGEM DIGITAL (ANÁLISE), RECONHECIMENTO DE PADRÕES, INTELIGÊNCIA ARTIFICIAL

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      FLORINDO, João Batista e BRUNO, Odemir Martinez. Using fractal interpolation over complex network modeling of deep texture representation. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784138. Acesso em: 15 out. 2024.
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      Florindo, J. B., & Bruno, O. M. (2022). Using fractal interpolation over complex network modeling of deep texture representation. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784138
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      Florindo JB, Bruno OM. Using fractal interpolation over complex network modeling of deep texture representation [Internet]. Proceedings. 2022 ;[citado 2024 out. 15 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784138
    • Vancouver

      Florindo JB, Bruno OM. Using fractal interpolation over complex network modeling of deep texture representation [Internet]. Proceedings. 2022 ;[citado 2024 out. 15 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784138
  • Source: International Journal of Electrochemical Science. Unidade: EEL

    Subjects: SOLIDIFICAÇÃO, TEXTURA, ESTAMPAGEM

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      LOURENÇO, Júlio Cesar et al. Effects of Solidification, Rotary Swaging and Recrystallization on the Microstructure, Crystallographic Orientation and Electrochemical Behavior of an Al-4.5 wt.% Cu Alloy. International Journal of Electrochemical Science, v. 16, n. 10, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.20964/2021.10.43. Acesso em: 15 out. 2024.
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      Lourenço, J. C., Souza, L. P., Silva, G., Suzuki, P. A., Robin, A. L. M., Nunes, C. A., & Tomachuk, C. R. (2021). Effects of Solidification, Rotary Swaging and Recrystallization on the Microstructure, Crystallographic Orientation and Electrochemical Behavior of an Al-4.5 wt.% Cu Alloy. International Journal of Electrochemical Science, 16( 10), 1-22. doi:10.20964/2021.10.43
    • NLM

      Lourenço JC, Souza LP, Silva G, Suzuki PA, Robin ALM, Nunes CA, Tomachuk CR. Effects of Solidification, Rotary Swaging and Recrystallization on the Microstructure, Crystallographic Orientation and Electrochemical Behavior of an Al-4.5 wt.% Cu Alloy [Internet]. International Journal of Electrochemical Science. 2021 ;16( 10): 1-22.[citado 2024 out. 15 ] Available from: https://doi.org/10.20964/2021.10.43
    • Vancouver

      Lourenço JC, Souza LP, Silva G, Suzuki PA, Robin ALM, Nunes CA, Tomachuk CR. Effects of Solidification, Rotary Swaging and Recrystallization on the Microstructure, Crystallographic Orientation and Electrochemical Behavior of an Al-4.5 wt.% Cu Alloy [Internet]. International Journal of Electrochemical Science. 2021 ;16( 10): 1-22.[citado 2024 out. 15 ] Available from: https://doi.org/10.20964/2021.10.43
  • Source: Journal of Alloys and Compounds. Unidade: EP

    Subjects: RECRISTALIZAÇÃO, TEXTURA, RECOZIMENTO, LIGAS METÁLICAS

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      FERREIRA, Andrei Marx et al. Effects of recovery and recrystallization on microstructure and texture during annealing of a cold deformed superconducting Nb-50(wt.)%Ti alloy. Journal of Alloys and Compounds, v. 887, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jallcom.2021.161334. Acesso em: 15 out. 2024.
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      Ferreira, A. M., Martorano, M. de A., Lima, N. B. de, & Padilha, A. F. (2021). Effects of recovery and recrystallization on microstructure and texture during annealing of a cold deformed superconducting Nb-50(wt.)%Ti alloy. Journal of Alloys and Compounds, 887, 1-9. doi:10.1016/j.jallcom.2021.161334
    • NLM

      Ferreira AM, Martorano M de A, Lima NB de, Padilha AF. Effects of recovery and recrystallization on microstructure and texture during annealing of a cold deformed superconducting Nb-50(wt.)%Ti alloy [Internet]. Journal of Alloys and Compounds. 2021 ; 887 1-9.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.jallcom.2021.161334
    • Vancouver

      Ferreira AM, Martorano M de A, Lima NB de, Padilha AF. Effects of recovery and recrystallization on microstructure and texture during annealing of a cold deformed superconducting Nb-50(wt.)%Ti alloy [Internet]. Journal of Alloys and Compounds. 2021 ; 887 1-9.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.jallcom.2021.161334
  • Source: Materials Science Forum. Unidade: EP

    Subjects: CRISTALOGRAFIA, TEXTURA, ALUMÍNIO

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      SOUZA, Saul Hissaci de et al. The Occurrence of a Peripheral Coarse Grain Zone (PCGZ) in Extruded Bars of AA 7108. Materials Science Forum, v. 1016, p. 1141-1146, 2021Tradução . . Disponível em: https://doi.org/10.4028/www.scientific.net/MSF.1016.1141. Acesso em: 15 out. 2024.
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      Souza, S. H. de, Plaut, R. L., Lima, N. B. de, Oliveira, R. R. de, & Padilha, A. F. (2021). The Occurrence of a Peripheral Coarse Grain Zone (PCGZ) in Extruded Bars of AA 7108. Materials Science Forum, 1016, 1141-1146. doi:10.4028/www.scientific.net/MSF.1016.1141
    • NLM

      Souza SH de, Plaut RL, Lima NB de, Oliveira RR de, Padilha AF. The Occurrence of a Peripheral Coarse Grain Zone (PCGZ) in Extruded Bars of AA 7108 [Internet]. Materials Science Forum. 2021 ; 1016 1141-1146.[citado 2024 out. 15 ] Available from: https://doi.org/10.4028/www.scientific.net/MSF.1016.1141
    • Vancouver

      Souza SH de, Plaut RL, Lima NB de, Oliveira RR de, Padilha AF. The Occurrence of a Peripheral Coarse Grain Zone (PCGZ) in Extruded Bars of AA 7108 [Internet]. Materials Science Forum. 2021 ; 1016 1141-1146.[citado 2024 out. 15 ] Available from: https://doi.org/10.4028/www.scientific.net/MSF.1016.1141
  • Source: Materials and Design. Unidade: EP

    Subjects: AÇO, TEXTURA, CRISTALOGRAFIA

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      ARIZA ECHEVERRI, Edwan Anderson et al. Development of a new generation of quench and partitioning steels: Influence of processing parameters on texture, nanoindentation, and mechanical properties. Materials and Design, v. 186, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.matdes.2019.108329. Acesso em: 15 out. 2024.
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      Ariza Echeverri, E. A., Masoumi, M., Nishikawa, A. S., Mesa Grajales, D. H., Marquez-Rossy, A. E., & Tschiptschin, A. P. (2020). Development of a new generation of quench and partitioning steels: Influence of processing parameters on texture, nanoindentation, and mechanical properties. Materials and Design, 186. doi:10.1016/j.matdes.2019.108329
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      Ariza Echeverri EA, Masoumi M, Nishikawa AS, Mesa Grajales DH, Marquez-Rossy AE, Tschiptschin AP. Development of a new generation of quench and partitioning steels: Influence of processing parameters on texture, nanoindentation, and mechanical properties [Internet]. Materials and Design. 2020 ; 186[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.matdes.2019.108329
    • Vancouver

      Ariza Echeverri EA, Masoumi M, Nishikawa AS, Mesa Grajales DH, Marquez-Rossy AE, Tschiptschin AP. Development of a new generation of quench and partitioning steels: Influence of processing parameters on texture, nanoindentation, and mechanical properties [Internet]. Materials and Design. 2020 ; 186[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.matdes.2019.108329
  • Source: Pattern Recognition. Unidades: IFSC, ICMC

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

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      RIBAS, Lucas Correia et al. Fusion of complex networks and randomized neural networks for texture analysis. Pattern Recognition, v. 103, p. 107189-1-107189-10, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2019.107189. Acesso em: 15 out. 2024.
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      Ribas, L. C., Sá Júnior, J. J. de M., Scabini, L. F. dos S., & Bruno, O. M. (2020). Fusion of complex networks and randomized neural networks for texture analysis. Pattern Recognition, 103, 107189-1-107189-10. doi:10.1016/j.patcog.2019.107189
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      Ribas LC, Sá Júnior JJ de M, Scabini LF dos S, Bruno OM. Fusion of complex networks and randomized neural networks for texture analysis [Internet]. Pattern Recognition. 2020 ; 103 107189-1-107189-10.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.patcog.2019.107189
    • Vancouver

      Ribas LC, Sá Júnior JJ de M, Scabini LF dos S, Bruno OM. Fusion of complex networks and randomized neural networks for texture analysis [Internet]. Pattern Recognition. 2020 ; 103 107189-1-107189-10.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.patcog.2019.107189
  • Source: IEEE Transactions on Cybernetics. Unidade: IFSC

    Subjects: TEXTURA, PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS

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      CANTERO, Sávio Vinícius Albieri Barone et al. Importance of vertices in complex networks applied to texture analysis. IEEE Transactions on Cybernetics, v. 50, n. 2, p. 777-786, 2020Tradução . . Disponível em: https://doi.org/10.1109/TCYB.2018.2873135. Acesso em: 15 out. 2024.
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      Cantero, S. V. A. B., Gonçalves, D. N., Scabini, L. F. dos S., & Gonçalves, W. N. (2020). Importance of vertices in complex networks applied to texture analysis. IEEE Transactions on Cybernetics, 50( 2), 777-786. doi:10.1109/TCYB.2018.2873135
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      Cantero SVAB, Gonçalves DN, Scabini LF dos S, Gonçalves WN. Importance of vertices in complex networks applied to texture analysis [Internet]. IEEE Transactions on Cybernetics. 2020 ; 50( 2): 777-786.[citado 2024 out. 15 ] Available from: https://doi.org/10.1109/TCYB.2018.2873135
    • Vancouver

      Cantero SVAB, Gonçalves DN, Scabini LF dos S, Gonçalves WN. Importance of vertices in complex networks applied to texture analysis [Internet]. IEEE Transactions on Cybernetics. 2020 ; 50( 2): 777-786.[citado 2024 out. 15 ] Available from: https://doi.org/10.1109/TCYB.2018.2873135
  • Source: Journal of Materials Research and Technology. Unidade: EP

    Subjects: TEXTURA, FUNDIÇÃO, MOLDAGEM

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      ALMEIDA, Leandro de e SCHÖN, Cláudio Geraldo. Evaluation of the formability of 90/10 brass produced by different casting processes and investigation of the effect of Forming Limit Diagram determination procedure. Journal of Materials Research and Technology, v. 8, n. 5, p. 4163-4172, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jmrt.2019.07.025. Acesso em: 15 out. 2024.
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      Almeida, L. de, & Schön, C. G. (2019). Evaluation of the formability of 90/10 brass produced by different casting processes and investigation of the effect of Forming Limit Diagram determination procedure. Journal of Materials Research and Technology, 8( 5), 4163-4172. doi:10.1016/j.jmrt.2019.07.025
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      Almeida L de, Schön CG. Evaluation of the formability of 90/10 brass produced by different casting processes and investigation of the effect of Forming Limit Diagram determination procedure [Internet]. Journal of Materials Research and Technology. 2019 ; 8( 5): 4163-4172.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.jmrt.2019.07.025
    • Vancouver

      Almeida L de, Schön CG. Evaluation of the formability of 90/10 brass produced by different casting processes and investigation of the effect of Forming Limit Diagram determination procedure [Internet]. Journal of Materials Research and Technology. 2019 ; 8( 5): 4163-4172.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.jmrt.2019.07.025
  • Source: Acta scientiarum. technology (online). Unidade: EEL

    Subjects: ANÁLISE SENSORIAL DE ALIMENTOS, TEXTURA

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      GUIMARÃES, Daniela Helena Pelegrine e ALVES, Gisele Letícia e QUERIDO, Amanda Faria. Blueberry Jam: correlation of rheological parameters and water activity with sensorial attributes. Acta scientiarum. technology (online), v. 41, p. 38371-, 2019Tradução . . Disponível em: https://doi.org/10.4025/actascitechnol.v41i1.38371BlueberryJam:cor. Acesso em: 15 out. 2024.
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      Guimarães, D. H. P., Alves, G. L., & Querido, A. F. (2019). Blueberry Jam: correlation of rheological parameters and water activity with sensorial attributes. Acta scientiarum. technology (online), 41, 38371-. doi:10.4025/actascitechnol.v41i1.38371BlueberryJam:cor
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      Guimarães DHP, Alves GL, Querido AF. Blueberry Jam: correlation of rheological parameters and water activity with sensorial attributes [Internet]. Acta scientiarum. technology (online). 2019 ;41 38371-.[citado 2024 out. 15 ] Available from: https://doi.org/10.4025/actascitechnol.v41i1.38371BlueberryJam:cor
    • Vancouver

      Guimarães DHP, Alves GL, Querido AF. Blueberry Jam: correlation of rheological parameters and water activity with sensorial attributes [Internet]. Acta scientiarum. technology (online). 2019 ;41 38371-.[citado 2024 out. 15 ] Available from: https://doi.org/10.4025/actascitechnol.v41i1.38371BlueberryJam:cor
  • Source: Multidimensional Systems and Signal Processing. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, TEXTURA

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      SÁ JUNIOR, Jarbas Joaci de Mesquita e BACKES, André Ricardo e BRUNO, Odemir Martinez. Randomized neural network based signature for color texture classification prism dimension. Multidimensional Systems and Signal Processing, v. 30, n. 3, p. 1171-1186, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11045-018-0600-6. Acesso em: 15 out. 2024.
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      Sá Junior, J. J. de M., Backes, A. R., & Bruno, O. M. (2019). Randomized neural network based signature for color texture classification prism dimension. Multidimensional Systems and Signal Processing, 30( 3), 1171-1186. doi:10.1007/s11045-018-0600-6
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      Sá Junior JJ de M, Backes AR, Bruno OM. Randomized neural network based signature for color texture classification prism dimension [Internet]. Multidimensional Systems and Signal Processing. 2019 ; 30( 3): 1171-1186.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s11045-018-0600-6
    • Vancouver

      Sá Junior JJ de M, Backes AR, Bruno OM. Randomized neural network based signature for color texture classification prism dimension [Internet]. Multidimensional Systems and Signal Processing. 2019 ; 30( 3): 1171-1186.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s11045-018-0600-6
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, TEXTURA

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      FLORINDO, João Batista e BRUNO, Odemir Martinez. Fractal descriptors of texture images based on the triangular prism dimension. Journal of Mathematical Imaging and Vision, v. 61, n. Ja 2019, p. 140-159, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10851-018-0832-y. Acesso em: 15 out. 2024.
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      Florindo, J. B., & Bruno, O. M. (2019). Fractal descriptors of texture images based on the triangular prism dimension. Journal of Mathematical Imaging and Vision, 61( Ja 2019), 140-159. doi:10.1007/s10851-018-0832-y
    • NLM

      Florindo JB, Bruno OM. Fractal descriptors of texture images based on the triangular prism dimension [Internet]. Journal of Mathematical Imaging and Vision. 2019 ; 61( Ja 2019): 140-159.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s10851-018-0832-y
    • Vancouver

      Florindo JB, Bruno OM. Fractal descriptors of texture images based on the triangular prism dimension [Internet]. Journal of Mathematical Imaging and Vision. 2019 ; 61( Ja 2019): 140-159.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s10851-018-0832-y
  • Source: Pattern Analysis and Applications. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, TEXTURA

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      RIBAS, Lucas Correia et al. Fractal dimension of bag‑of‑visual words. Pattern Analysis and Applications, v. 22, n. 1, p. 89-98, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10044-018-0736-x. Acesso em: 15 out. 2024.
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      Ribas, L. C., Gonçalves, D. N., Silva, J. de A., Castro Jr., A. A. de, Bruno, O. M., & Gonçalves, W. N. (2019). Fractal dimension of bag‑of‑visual words. Pattern Analysis and Applications, 22( 1), 89-98. doi:10.1007/s10044-018-0736-x
    • NLM

      Ribas LC, Gonçalves DN, Silva J de A, Castro Jr. AA de, Bruno OM, Gonçalves WN. Fractal dimension of bag‑of‑visual words [Internet]. Pattern Analysis and Applications. 2019 ; 22( 1): 89-98.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s10044-018-0736-x
    • Vancouver

      Ribas LC, Gonçalves DN, Silva J de A, Castro Jr. AA de, Bruno OM, Gonçalves WN. Fractal dimension of bag‑of‑visual words [Internet]. Pattern Analysis and Applications. 2019 ; 22( 1): 89-98.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s10044-018-0736-x
  • Source: Journal of Materials Research and Technology. Unidade: EP

    Subjects: CRISTALOGRAFIA, TEXTURA, CISALHAMENTO, FERROVIAS

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      MASOUMI, Mohammad et al. Microstructure and crystallographic orientation evolutions below the superficial white layer of a used pearlitic rail. Journal of Materials Research and Technology, v. 8, n. 6, p. 6275-6288, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jmrt.2019.10.021. Acesso em: 15 out. 2024.
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      Masoumi, M., Lima, N. B. de, Tressia, G., Sinatora, A., & Goldenstein, H. (2019). Microstructure and crystallographic orientation evolutions below the superficial white layer of a used pearlitic rail. Journal of Materials Research and Technology, 8( 6), 6275-6288. doi:10.1016/j.jmrt.2019.10.021
    • NLM

      Masoumi M, Lima NB de, Tressia G, Sinatora A, Goldenstein H. Microstructure and crystallographic orientation evolutions below the superficial white layer of a used pearlitic rail [Internet]. Journal of Materials Research and Technology. 2019 ;8( 6): 6275-6288.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.jmrt.2019.10.021
    • Vancouver

      Masoumi M, Lima NB de, Tressia G, Sinatora A, Goldenstein H. Microstructure and crystallographic orientation evolutions below the superficial white layer of a used pearlitic rail [Internet]. Journal of Materials Research and Technology. 2019 ;8( 6): 6275-6288.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.jmrt.2019.10.021
  • Conference titles: Congresso Anual da ABM – Internacional. Unidade: EP

    Subjects: CRISTALOGRAFIA, TEXTURA, TITÂNIO

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      NOBRE, Rafael de Moura et al. Microestrutura e textura cristalográfica da liga Nb-47 Ti produzida por fusão seletiva a laser. 2019, Anais.. São Paulo: ABM, 2019. . Acesso em: 15 out. 2024.
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      Nobre, R. de M., Bauri, L. F., Guzmán Hernández, J. S., Byaerlein, D. L., Falcão, R. B., Sallica-Leva, E., et al. (2019). Microestrutura e textura cristalográfica da liga Nb-47 Ti produzida por fusão seletiva a laser. In . São Paulo: ABM.
    • NLM

      Nobre R de M, Bauri LF, Guzmán Hernández JS, Byaerlein DL, Falcão RB, Sallica-Leva E, Oliveira HR, Chastinet VL, Rodrigues Junior DL, Landgraf FJG. Microestrutura e textura cristalográfica da liga Nb-47 Ti produzida por fusão seletiva a laser. 2019 ;[citado 2024 out. 15 ]
    • Vancouver

      Nobre R de M, Bauri LF, Guzmán Hernández JS, Byaerlein DL, Falcão RB, Sallica-Leva E, Oliveira HR, Chastinet VL, Rodrigues Junior DL, Landgraf FJG. Microestrutura e textura cristalográfica da liga Nb-47 Ti produzida por fusão seletiva a laser. 2019 ;[citado 2024 out. 15 ]

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