Filtros : "International Journal of Semantic Computing" Limpar

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  • Fonte: International Journal of Semantic Computing. Unidade: EESC

    Assuntos: PULVERIZADORES, MÁQUINAS AGRÍCOLAS, ENGENHARIA ELÉTRICA

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      GAMBOA PEÑALOZA, Elmer Alexis et al. A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements. International Journal of Semantic Computing, v. 11, n. 3, p. 279-292, 2017Tradução . . Disponível em: https://doi.org/10.1142/S1793351X17400104. Acesso em: 29 jul. 2024.
    • APA

      Gamboa Peñaloza, E. A., Cruvinel, P. E., Oliveira, V. A. de, & Costa, A. G. F. (2017). A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements. International Journal of Semantic Computing, 11( 3), 279-292. doi:10.1142/S1793351X17400104
    • NLM

      Gamboa Peñaloza EA, Cruvinel PE, Oliveira VA de, Costa AGF. A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements [Internet]. International Journal of Semantic Computing. 2017 ; 11( 3): 279-292.[citado 2024 jul. 29 ] Available from: https://doi.org/10.1142/S1793351X17400104
    • Vancouver

      Gamboa Peñaloza EA, Cruvinel PE, Oliveira VA de, Costa AGF. A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements [Internet]. International Journal of Semantic Computing. 2017 ; 11( 3): 279-292.[citado 2024 jul. 29 ] Available from: https://doi.org/10.1142/S1793351X17400104
  • Fonte: International Journal of Semantic Computing. Unidade: EESC

    Assuntos: ANÁLISE DE ONDALETAS, PROCESSAMENTO DE SINAIS

    Acesso à fonteComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      GUIDO, Rodrigo Capobianco et al. Spoken document summarization based on dynamic time warping and wavelets. International Journal of Semantic Computing, v. 1, n. 3, p. 347-357, 2007Tradução . . Disponível em: http://www.worldscientific.com/doi/pdf/10.1142/S1793351X07000214. Acesso em: 29 jul. 2024.
    • APA

      Guido, R. C., Barbon Junior, S., Vieira, L. S., Sanchez, F. L., Maciel, C. D., Scalassara, P. R., et al. (2007). Spoken document summarization based on dynamic time warping and wavelets. International Journal of Semantic Computing, 1( 3), 347-357. Recuperado de http://www.worldscientific.com/doi/pdf/10.1142/S1793351X07000214
    • NLM

      Guido RC, Barbon Junior S, Vieira LS, Sanchez FL, Maciel CD, Scalassara PR, Pereira JC, Puia VM. Spoken document summarization based on dynamic time warping and wavelets [Internet]. International Journal of Semantic Computing. 2007 ; 1( 3): 347-357.[citado 2024 jul. 29 ] Available from: http://www.worldscientific.com/doi/pdf/10.1142/S1793351X07000214
    • Vancouver

      Guido RC, Barbon Junior S, Vieira LS, Sanchez FL, Maciel CD, Scalassara PR, Pereira JC, Puia VM. Spoken document summarization based on dynamic time warping and wavelets [Internet]. International Journal of Semantic Computing. 2007 ; 1( 3): 347-357.[citado 2024 jul. 29 ] Available from: http://www.worldscientific.com/doi/pdf/10.1142/S1793351X07000214

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