Filtros : "IFSC225" "Grã-Bretanha (Reino Unido, UK)" Removidos: "Universidade Federal do Espírito Santo (UFES)" "RODRIGUES, JOSE ANTUNES" "Instituto de Física de São Carlos - IFSC" Limpar

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  • Source: European Physical Journal B. Unidades: IFSC, IEA

    Subjects: REDES COMPLEXAS, CONHECIMENTO, GEOMETRIA E MODELAGEM COMPUTACIONAL

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      TOKUDA, Eric Keiji e LAMBIOTTE, Renaud e COSTA, Luciano da Fontoura. Cross-relation characterization of knowledge networks. European Physical Journal B, v. No 2023, n. 11, p. 144-1-144-19, 2023Tradução . . Disponível em: https://doi.org/10.1140/epjb/s10051-023-00608-w. Acesso em: 04 out. 2024.
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      Tokuda, E. K., Lambiotte, R., & Costa, L. da F. (2023). Cross-relation characterization of knowledge networks. European Physical Journal B, No 2023( 11), 144-1-144-19. doi:10.1140/epjb/s10051-023-00608-w
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      Tokuda EK, Lambiotte R, Costa L da F. Cross-relation characterization of knowledge networks [Internet]. European Physical Journal B. 2023 ; No 2023( 11): 144-1-144-19.[citado 2024 out. 04 ] Available from: https://doi.org/10.1140/epjb/s10051-023-00608-w
    • Vancouver

      Tokuda EK, Lambiotte R, Costa L da F. Cross-relation characterization of knowledge networks [Internet]. European Physical Journal B. 2023 ; No 2023( 11): 144-1-144-19.[citado 2024 out. 04 ] Available from: https://doi.org/10.1140/epjb/s10051-023-00608-w
  • Source: Plant Methods. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, IMAGEM, MADEIRA

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      SILVA, Núbia Rosa da et al. Improved wood species identification based on multi-view imagery of the three anatomical planes. Plant Methods, v. 18, n. 1, p. 79-1-79-17, 2022Tradução . . Disponível em: https://doi.org/10.1186/s13007-022-00910-1. Acesso em: 04 out. 2024.
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      Silva, N. R. da, Deklerck, V., Baetens, J. M., Bulcke, J. V. den, Ridder, M. D., Rousseau, M., et al. (2022). Improved wood species identification based on multi-view imagery of the three anatomical planes. Plant Methods, 18( 1), 79-1-79-17. doi:10.1186/s13007-022-00910-1
    • NLM

      Silva NR da, Deklerck V, Baetens JM, Bulcke JV den, Ridder MD, Rousseau M, Bruno OM, Beeckman H, Acker JV, Baets BD, Verwaeren J. Improved wood species identification based on multi-view imagery of the three anatomical planes [Internet]. Plant Methods. 2022 ; 18( 1): 79-1-79-17.[citado 2024 out. 04 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
    • Vancouver

      Silva NR da, Deklerck V, Baetens JM, Bulcke JV den, Ridder MD, Rousseau M, Bruno OM, Beeckman H, Acker JV, Baets BD, Verwaeren J. Improved wood species identification based on multi-view imagery of the three anatomical planes [Internet]. Plant Methods. 2022 ; 18( 1): 79-1-79-17.[citado 2024 out. 04 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
  • Source: Nonlinear Dynamics. Unidades: IFSC, EP

    Subjects: CRIPTOLOGIA, CAOS (SISTEMAS DINÂMICOS), TEORIA DA INFORMAÇÃO

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      MACHICAO, Jeaneth e BRUNO, Odemir Martinez e BAPTISTA, Murilo S. Zooming into chaos as a pathway for the creation of a fast, light and reliable cryptosystem. Nonlinear Dynamics, v. 104, n. 1, p. 753-764, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11071-021-06280-y. Acesso em: 04 out. 2024.
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      Machicao, J., Bruno, O. M., & Baptista, M. S. (2021). Zooming into chaos as a pathway for the creation of a fast, light and reliable cryptosystem. Nonlinear Dynamics, 104( 1), 753-764. doi:10.1007/s11071-021-06280-y
    • NLM

      Machicao J, Bruno OM, Baptista MS. Zooming into chaos as a pathway for the creation of a fast, light and reliable cryptosystem [Internet]. Nonlinear Dynamics. 2021 ; 104( 1): 753-764.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s11071-021-06280-y
    • Vancouver

      Machicao J, Bruno OM, Baptista MS. Zooming into chaos as a pathway for the creation of a fast, light and reliable cryptosystem [Internet]. Nonlinear Dynamics. 2021 ; 104( 1): 753-764.[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/s11071-021-06280-y
  • Source: International Journal of Modern Physics C. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS

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      MACHICAO, Jeaneth et al. Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems. International Journal of Modern Physics C, v. 30, n. 4, p. 1950033-1-1950033-18, 2019Tradução . . Disponível em: https://doi.org/10.1142/S0129183119500335. Acesso em: 04 out. 2024.
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      Machicao, J., Alves, M., Baptista, M. S., & Bruno, O. M. (2019). Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems. International Journal of Modern Physics C, 30( 4), 1950033-1-1950033-18. doi:10.1142/S0129183119500335
    • NLM

      Machicao J, Alves M, Baptista MS, Bruno OM. Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems [Internet]. International Journal of Modern Physics C. 2019 ; 30( 4): 1950033-1-1950033-18.[citado 2024 out. 04 ] Available from: https://doi.org/10.1142/S0129183119500335
    • Vancouver

      Machicao J, Alves M, Baptista MS, Bruno OM. Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems [Internet]. International Journal of Modern Physics C. 2019 ; 30( 4): 1950033-1-1950033-18.[citado 2024 out. 04 ] Available from: https://doi.org/10.1142/S0129183119500335
  • Unidade: IFSC

    Assunto: REDES COMPLEXAS

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      Journal of Complex Networks. . Oxford: Oxford University Press. . Acesso em: 04 out. 2024. , 2017
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      Journal of Complex Networks. (2017). Journal of Complex Networks. Oxford: Oxford University Press.
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      Journal of Complex Networks. 2017 ;[citado 2024 out. 04 ]
    • Vancouver

      Journal of Complex Networks. 2017 ;[citado 2024 out. 04 ]
  • Source: Computers in Biology and Medicine. Unidade: IFSC

    Subjects: MICROSCOPIA, RECONHECIMENTO DE PADRÕES, CISTO ODONTOGÊNICO

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      FLORINDO, João B. e BRUNO, Odemir Martinez e LANDINI, Gabriel. Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors. Computers in Biology and Medicine, v. 81, p. 1-10, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2016.12.003. Acesso em: 04 out. 2024.
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      Florindo, J. B., Bruno, O. M., & Landini, G. (2017). Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors. Computers in Biology and Medicine, 81, 1-10. doi:10.1016/j.compbiomed.2016.12.003
    • NLM

      Florindo JB, Bruno OM, Landini G. Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors [Internet]. Computers in Biology and Medicine. 2017 ; 81 1-10.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.12.003
    • Vancouver

      Florindo JB, Bruno OM, Landini G. Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors [Internet]. Computers in Biology and Medicine. 2017 ; 81 1-10.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.12.003
  • Source: Botany. Unidade: IFSC

    Subjects: FOLHAS (PLANTAS), MORFOLOGIA VEGETAL, BOTÂNICA (CLASSIFICAÇÃO)

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      FLORINDO, João Batista et al. Identifying plant species using architectural features in leaf microscopy images. Botany, v. 94, n. Ja 2016, p. 15-21, 2016Tradução . . Disponível em: https://doi.org/10.1139/cjb-2015-0075. Acesso em: 04 out. 2024.
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      Florindo, J. B., Bruno, O. M., Rossatto, D. R., Kolb, R. M., Gómez, M. C., & Landini, G. (2016). Identifying plant species using architectural features in leaf microscopy images. Botany, 94( Ja 2016), 15-21. doi:10.1139/cjb-2015-0075
    • NLM

      Florindo JB, Bruno OM, Rossatto DR, Kolb RM, Gómez MC, Landini G. Identifying plant species using architectural features in leaf microscopy images [Internet]. Botany. 2016 ; 94( Ja 2016): 15-21.[citado 2024 out. 04 ] Available from: https://doi.org/10.1139/cjb-2015-0075
    • Vancouver

      Florindo JB, Bruno OM, Rossatto DR, Kolb RM, Gómez MC, Landini G. Identifying plant species using architectural features in leaf microscopy images [Internet]. Botany. 2016 ; 94( Ja 2016): 15-21.[citado 2024 out. 04 ] Available from: https://doi.org/10.1139/cjb-2015-0075
  • Source: Information Sciences. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE, SIMETRIA, MEDIDAS

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      SILVA, Filipi N et al. Concentric network symmetry. Information Sciences, v. 333, p. 61-80, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2015.11.014. Acesso em: 04 out. 2024.
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      Silva, F. N., Comin, C. H., Peron, T., Rodrigues, F. A., Ye, C., Wilson, R. C., et al. (2016). Concentric network symmetry. Information Sciences, 333, 61-80. doi:10.1016/j.ins.2015.11.014
    • NLM

      Silva FN, Comin CH, Peron T, Rodrigues FA, Ye C, Wilson RC, Hancock ER, Costa L da F. Concentric network symmetry [Internet]. Information Sciences. 2016 ; 333 61-80.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.ins.2015.11.014
    • Vancouver

      Silva FN, Comin CH, Peron T, Rodrigues FA, Ye C, Wilson RC, Hancock ER, Costa L da F. Concentric network symmetry [Internet]. Information Sciences. 2016 ; 333 61-80.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.ins.2015.11.014
  • Source: Nature Neuroscience. Unidade: IFSC

    Subjects: SISTEMA NERVOSO, AXÔNIOS, CÉREBRO

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      KOSER, David E. et al. Mechanosensing is critical for axon growth in the developing brain. Nature Neuroscience, v. 19, n. 12, p. 1592-1598, 2016Tradução . . Disponível em: https://doi.org/10.1038/nn.4394. Acesso em: 04 out. 2024.
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      Koser, D. E., Thompson, A., Foster, S. K., Dwivedy, A., Pillai, E. K., Sheridan, G. K., et al. (2016). Mechanosensing is critical for axon growth in the developing brain. Nature Neuroscience, 19( 12), 1592-1598. doi:10.1038/nn.4394
    • NLM

      Koser DE, Thompson A, Foster SK, Dwivedy A, Pillai EK, Sheridan GK, Svoboda H, Viana M, Costa L da F, Guck J, Holt CE, Franze K. Mechanosensing is critical for axon growth in the developing brain [Internet]. Nature Neuroscience. 2016 ; 19( 12): 1592-1598.[citado 2024 out. 04 ] Available from: https://doi.org/10.1038/nn.4394
    • Vancouver

      Koser DE, Thompson A, Foster SK, Dwivedy A, Pillai EK, Sheridan GK, Svoboda H, Viana M, Costa L da F, Guck J, Holt CE, Franze K. Mechanosensing is critical for axon growth in the developing brain [Internet]. Nature Neuroscience. 2016 ; 19( 12): 1592-1598.[citado 2024 out. 04 ] Available from: https://doi.org/10.1038/nn.4394
  • Unidade: IFSC

    Assunto: REDES COMPLEXAS

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      Journal of Complex Networks. . Oxford: Oxford University Press. . Acesso em: 04 out. 2024. , 2016
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      Journal of Complex Networks. (2016). Journal of Complex Networks. Oxford: Oxford University Press.
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      Journal of Complex Networks. 2016 ;[citado 2024 out. 04 ]
    • Vancouver

      Journal of Complex Networks. 2016 ;[citado 2024 out. 04 ]
  • Source: Pattern Recognition Letters. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, TEXTURA, IMAGEM

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      FLORINDO, João B. e LANDINI, Gabriel e BRUNO, Odemir Martinez. Three-dimensional connectivity index for texture recognition. Pattern Recognition Letters, v. 84, p. 239-244, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2016.09.013. Acesso em: 04 out. 2024.
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      Florindo, J. B., Landini, G., & Bruno, O. M. (2016). Three-dimensional connectivity index for texture recognition. Pattern Recognition Letters, 84, 239-244. doi:10.1016/j.patrec.2016.09.013
    • NLM

      Florindo JB, Landini G, Bruno OM. Three-dimensional connectivity index for texture recognition [Internet]. Pattern Recognition Letters. 2016 ; 84 239-244.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.patrec.2016.09.013
    • Vancouver

      Florindo JB, Landini G, Bruno OM. Three-dimensional connectivity index for texture recognition [Internet]. Pattern Recognition Letters. 2016 ; 84 239-244.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.patrec.2016.09.013
  • Source: Molecular BioSystems. Unidades: IFSC, IME

    Subjects: REDES COMPLEXAS, EXPRESSÃO GÊNICA

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      CAMPITELI, Monica Guimarães et al. A methodology to infer gene networks from spatial patterns of expression: an application to fluorescence in situ hybridization images. Molecular BioSystems, v. 9, n. 7, p. 1926-1930, 2013Tradução . . Disponível em: https://doi.org/10.1039/c3mb25475e. Acesso em: 04 out. 2024.
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      Campiteli, M. G., Comin, C. H., Costa, L. da F., Babu, M. M., & César Júnior, R. M. (2013). A methodology to infer gene networks from spatial patterns of expression: an application to fluorescence in situ hybridization images. Molecular BioSystems, 9( 7), 1926-1930. doi:10.1039/c3mb25475e
    • NLM

      Campiteli MG, Comin CH, Costa L da F, Babu MM, César Júnior RM. A methodology to infer gene networks from spatial patterns of expression: an application to fluorescence in situ hybridization images [Internet]. Molecular BioSystems. 2013 ; 9( 7): 1926-1930.[citado 2024 out. 04 ] Available from: https://doi.org/10.1039/c3mb25475e
    • Vancouver

      Campiteli MG, Comin CH, Costa L da F, Babu MM, César Júnior RM. A methodology to infer gene networks from spatial patterns of expression: an application to fluorescence in situ hybridization images [Internet]. Molecular BioSystems. 2013 ; 9( 7): 1926-1930.[citado 2024 out. 04 ] Available from: https://doi.org/10.1039/c3mb25475e
  • Source: Molecular Biology of the Cell. Conference titles: American Society for Cell Biology (ASCB) Annual Meeting. Unidade: IFSC

    Subjects: SISTEMA NERVOSO, NEURÔNIOS, AXÔNIOS

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      SVOBODA, H. et al. Neuronal mechanosensitivity in axonal pathfinding. Molecular Biology of the Cell. Bethesda: American Society for Cell Biology - ASCB. Disponível em: https://doi.org/10.1091/mbc.E12-10-0757. Acesso em: 04 out. 2024. , 2012
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      Svoboda, H., Costa, L. da F., Guck, J., Holt, C. E., & Franze, K. (2012). Neuronal mechanosensitivity in axonal pathfinding. Molecular Biology of the Cell. Bethesda: American Society for Cell Biology - ASCB. doi:10.1091/mbc.E12-10-0757
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      Svoboda H, Costa L da F, Guck J, Holt CE, Franze K. Neuronal mechanosensitivity in axonal pathfinding [Internet]. Molecular Biology of the Cell. 2012 ; 23( 24):[citado 2024 out. 04 ] Available from: https://doi.org/10.1091/mbc.E12-10-0757
    • Vancouver

      Svoboda H, Costa L da F, Guck J, Holt CE, Franze K. Neuronal mechanosensitivity in axonal pathfinding [Internet]. Molecular Biology of the Cell. 2012 ; 23( 24):[citado 2024 out. 04 ] Available from: https://doi.org/10.1091/mbc.E12-10-0757

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