Filtros : "PROCESSAMENTO DE DADOS" "Holanda" Limpar

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  • Source: Procedia Computer Science. Conference titles: International Conference on Ambient Systems, Networks and Technologies (ANT). Unidade: FEA

    Subjects: BIG DATA, PROCESSAMENTO DE DADOS, INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      FRANCA, Cintia Sousa de et al. Implementation of data lake: narratives of quasi-outsourcing. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. Disponível em: https://www.sciencedirect.com/science/article/pii/S187705092401295X/pdf?md5=de75ad063e4fa741f8c6946296c7e4f6&pid=1-s2.0-S187705092401295X-main.pdf. Acesso em: 15 out. 2024. , 2024
    • APA

      Franca, C. S. de, Imoniana, J. O., Reginato, L., & Cornacchione Junior, E. B. (2024). Implementation of data lake: narratives of quasi-outsourcing. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. doi:10.1016/j.procs.2024.06.059
    • NLM

      Franca CS de, Imoniana JO, Reginato L, Cornacchione Junior EB. Implementation of data lake: narratives of quasi-outsourcing [Internet]. Procedia Computer Science. 2024 ; 238 550–557.[citado 2024 out. 15 ] Available from: https://www.sciencedirect.com/science/article/pii/S187705092401295X/pdf?md5=de75ad063e4fa741f8c6946296c7e4f6&pid=1-s2.0-S187705092401295X-main.pdf
    • Vancouver

      Franca CS de, Imoniana JO, Reginato L, Cornacchione Junior EB. Implementation of data lake: narratives of quasi-outsourcing [Internet]. Procedia Computer Science. 2024 ; 238 550–557.[citado 2024 out. 15 ] Available from: https://www.sciencedirect.com/science/article/pii/S187705092401295X/pdf?md5=de75ad063e4fa741f8c6946296c7e4f6&pid=1-s2.0-S187705092401295X-main.pdf
  • Source: Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. Unidade: IF

    Subjects: REDES NEURAIS, INTELIGÊNCIA ARTIFICIAL, ESPECTROMETRIA, ESPALHAMENTO, PROCESSAMENTO DE DADOS

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    • ABNT

      GUIMARÃES, Renato da S. et al. Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, v. 493, p. 28-34, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.nimb.2021.02.010. Acesso em: 15 out. 2024.
    • APA

      Guimarães, R. da S., Silva, T. F. da, Rodrigues, C., Tabacniks, M., Bach, S., Burwitz, V. V., et al. (2021). Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 493, 28-34. doi:10.1016/j.nimb.2021.02.010
    • NLM

      Guimarães R da S, Silva TF da, Rodrigues C, Tabacniks M, Bach S, Burwitz VV, Paul Hiret, Matej Mayer. Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks [Internet]. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2021 ; 493 28-34.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.nimb.2021.02.010
    • Vancouver

      Guimarães R da S, Silva TF da, Rodrigues C, Tabacniks M, Bach S, Burwitz VV, Paul Hiret, Matej Mayer. Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks [Internet]. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2021 ; 493 28-34.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.nimb.2021.02.010
  • Source: Knowledge-Based Systems. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE DADOS, RECONHECIMENTO DE PADRÕES

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      GARCIA, Luís P. F et al. New label noise injection methods for the evaluation of noise filters. Knowledge-Based Systems, v. 163, n. Ja 2019, p. 693-704, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2018.09.031. Acesso em: 15 out. 2024.
    • APA

      Garcia, L. P. F., Lehmann, J., Carvalho, A. C. P. de L. F. de, & Lorena, A. C. (2019). New label noise injection methods for the evaluation of noise filters. Knowledge-Based Systems, 163( Ja 2019), 693-704. doi:10.1016/j.knosys.2018.09.031
    • NLM

      Garcia LPF, Lehmann J, Carvalho ACP de LF de, Lorena AC. New label noise injection methods for the evaluation of noise filters [Internet]. Knowledge-Based Systems. 2019 ; 163( Ja 2019): 693-704.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.knosys.2018.09.031
    • Vancouver

      Garcia LPF, Lehmann J, Carvalho ACP de LF de, Lorena AC. New label noise injection methods for the evaluation of noise filters [Internet]. Knowledge-Based Systems. 2019 ; 163( Ja 2019): 693-704.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.knosys.2018.09.031
  • Source: Neurocomputing. Unidade: IFSC

    Subjects: REDES NEURAIS, CIÊNCIA DA COMPUTAÇÃO, INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE DADOS, ÁUDIO DIGITAL

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    • ABNT

      GUIDO, Rodrigo Capobianco e PEREIRA, José Carlos e SLAETS, Jan Frans Willem. Advances on neural networks for speech and audio processing. Neurocomputing. Amsterdam: Instituto de Física de São Carlos, Universidade de São Paulo. . Acesso em: 15 out. 2024. , 2007
    • APA

      Guido, R. C., Pereira, J. C., & Slaets, J. F. W. (2007). Advances on neural networks for speech and audio processing. Neurocomputing. Amsterdam: Instituto de Física de São Carlos, Universidade de São Paulo.
    • NLM

      Guido RC, Pereira JC, Slaets JFW. Advances on neural networks for speech and audio processing. Neurocomputing. 2007 ; 71 107.[citado 2024 out. 15 ]
    • Vancouver

      Guido RC, Pereira JC, Slaets JFW. Advances on neural networks for speech and audio processing. Neurocomputing. 2007 ; 71 107.[citado 2024 out. 15 ]
  • Source: Analytica Chimica Acta. Unidade: IQ

    Subjects: PROCESSAMENTO DE DADOS, QUÍMICA ORGÂNICA, ESPECTROSCOPIA DE RESSONÂNCIA MAGNÉTICA NUCLEAR

    Acesso à fonteDOIHow to cite
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      EMERENCIANO, Vicente de Paulo et al. Computer - aided carbon - 13 nuclear magnetic resonance spectroscopy for identification of terpenoid mixtures. Analytica Chimica Acta, v. 236, n. 2 , p. 501-4, 1990Tradução . . Disponível em: https://doi.org/10.1016/s0003-2670(00)83358-9. Acesso em: 15 out. 2024.
    • APA

      Emerenciano, V. de P., Roque, N. F., Furlan, M., & Torres, M. B. (1990). Computer - aided carbon - 13 nuclear magnetic resonance spectroscopy for identification of terpenoid mixtures. Analytica Chimica Acta, 236( 2 ), 501-4. doi:10.1016/s0003-2670(00)83358-9
    • NLM

      Emerenciano V de P, Roque NF, Furlan M, Torres MB. Computer - aided carbon - 13 nuclear magnetic resonance spectroscopy for identification of terpenoid mixtures [Internet]. Analytica Chimica Acta. 1990 ;236( 2 ): 501-4.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/s0003-2670(00)83358-9
    • Vancouver

      Emerenciano V de P, Roque NF, Furlan M, Torres MB. Computer - aided carbon - 13 nuclear magnetic resonance spectroscopy for identification of terpenoid mixtures [Internet]. Analytica Chimica Acta. 1990 ;236( 2 ): 501-4.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/s0003-2670(00)83358-9

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