Filtros : "Entropy" "FFCLRP" Limpar

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  • Source: Entropy. Unidades: FFCLRP, FMRP

    Subjects: ENTROPIA, ANÁLISE DE SÉRIES TEMPORAIS, ALGORITMOS, FREQUÊNCIA CARDÍACA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      BORIN JUNIOR, Airton Monte Serrat et al. Multiscale entropy analysis of short signals: the robustness of fuzzy entropy-based variants compared to full-length long signals. Entropy, v. 23, n. 12, p. 1-15, 2021Tradução . . Disponível em: https://doi.org/10.3390/e23121620. Acesso em: 15 nov. 2025.
    • APA

      Borin Junior, A. M. S., Humeau-Heurtier, A., Silva, L. E. V. da, & Murta Júnior, L. O. (2021). Multiscale entropy analysis of short signals: the robustness of fuzzy entropy-based variants compared to full-length long signals. Entropy, 23( 12), 1-15. doi:10.3390/e23121620
    • NLM

      Borin Junior AMS, Humeau-Heurtier A, Silva LEV da, Murta Júnior LO. Multiscale entropy analysis of short signals: the robustness of fuzzy entropy-based variants compared to full-length long signals [Internet]. Entropy. 2021 ; 23( 12): 1-15.[citado 2025 nov. 15 ] Available from: https://doi.org/10.3390/e23121620
    • Vancouver

      Borin Junior AMS, Humeau-Heurtier A, Silva LEV da, Murta Júnior LO. Multiscale entropy analysis of short signals: the robustness of fuzzy entropy-based variants compared to full-length long signals [Internet]. Entropy. 2021 ; 23( 12): 1-15.[citado 2025 nov. 15 ] Available from: https://doi.org/10.3390/e23121620
  • Source: Entropy. Unidades: FMRP, FFCLRP, ICMC

    Subjects: ENTROPIA, FREQUÊNCIA CARDÍACA, TREINAMENTO FÍSICO

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      FAZAN, Frederico Sassoli et al. Changes in the complexity of heart rate variability with exercise training measured by multiscale entropy-based measurements. Entropy, v. 20, n. 1, 2018Tradução . . Disponível em: https://doi.org/10.3390/e20010047. Acesso em: 15 nov. 2025.
    • APA

      Fazan, F. S., Brognara, F., Fazan Júnior, R., Murta Júnior, L. O., & Silva, L. E. V. da. (2018). Changes in the complexity of heart rate variability with exercise training measured by multiscale entropy-based measurements. Entropy, 20( 1). doi:10.3390/e20010047
    • NLM

      Fazan FS, Brognara F, Fazan Júnior R, Murta Júnior LO, Silva LEV da. Changes in the complexity of heart rate variability with exercise training measured by multiscale entropy-based measurements [Internet]. Entropy. 2018 ; 20( 1):[citado 2025 nov. 15 ] Available from: https://doi.org/10.3390/e20010047
    • Vancouver

      Fazan FS, Brognara F, Fazan Júnior R, Murta Júnior LO, Silva LEV da. Changes in the complexity of heart rate variability with exercise training measured by multiscale entropy-based measurements [Internet]. Entropy. 2018 ; 20( 1):[citado 2025 nov. 15 ] Available from: https://doi.org/10.3390/e20010047
  • Source: Entropy. Unidade: FFCLRP

    Subjects: REDES NEURAIS, NEUROCIÊNCIAS, PROCESSOS ESTOCÁSTICOS

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    • ABNT

      COSTA, Ariadne e BROCHINI, Ludmila e KINOUCHI, Osame. Self-organized supercriticality and oscillations in networks of stochastic spiking neurons. Entropy, v. 19, n. 8, 2017Tradução . . Disponível em: https://doi.org/10.3390/e19080399. Acesso em: 15 nov. 2025.
    • APA

      Costa, A., Brochini, L., & Kinouchi, O. (2017). Self-organized supercriticality and oscillations in networks of stochastic spiking neurons. Entropy, 19( 8). doi:10.3390/e19080399
    • NLM

      Costa A, Brochini L, Kinouchi O. Self-organized supercriticality and oscillations in networks of stochastic spiking neurons [Internet]. Entropy. 2017 ; 19( 8):[citado 2025 nov. 15 ] Available from: https://doi.org/10.3390/e19080399
    • Vancouver

      Costa A, Brochini L, Kinouchi O. Self-organized supercriticality and oscillations in networks of stochastic spiking neurons [Internet]. Entropy. 2017 ; 19( 8):[citado 2025 nov. 15 ] Available from: https://doi.org/10.3390/e19080399
  • Source: Entropy. Unidades: FMRP, FFCLRP

    Subjects: IMAGEM POR RESSONÂNCIA MAGNÉTICA, ENTROPIA

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    • ABNT

      AMARAL-SILVA, Henrique et al. The superiority of tsallis entropy over traditional cost functions for brain MRI and SPECT registration. Entropy, v. 16, n. 3, p. 1632-1651, 2014Tradução . . Disponível em: https://doi.org/10.3390/e16031632. Acesso em: 15 nov. 2025.
    • APA

      Amaral-Silva, H., Wichert-Ana, L., Murta Junior, L. O., Romualdo-Suzuki, L., Itikawa, E., Bussato, G. F., & Azevedo-Marques, P. M. de. (2014). The superiority of tsallis entropy over traditional cost functions for brain MRI and SPECT registration. Entropy, 16( 3), 1632-1651. doi:10.3390/e16031632
    • NLM

      Amaral-Silva H, Wichert-Ana L, Murta Junior LO, Romualdo-Suzuki L, Itikawa E, Bussato GF, Azevedo-Marques PM de. The superiority of tsallis entropy over traditional cost functions for brain MRI and SPECT registration [Internet]. Entropy. 2014 ; 16( 3): 1632-1651.[citado 2025 nov. 15 ] Available from: https://doi.org/10.3390/e16031632
    • Vancouver

      Amaral-Silva H, Wichert-Ana L, Murta Junior LO, Romualdo-Suzuki L, Itikawa E, Bussato GF, Azevedo-Marques PM de. The superiority of tsallis entropy over traditional cost functions for brain MRI and SPECT registration [Internet]. Entropy. 2014 ; 16( 3): 1632-1651.[citado 2025 nov. 15 ] Available from: https://doi.org/10.3390/e16031632

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