Filtros : "SILVA, MAÍRA MARTINS DA" "Elsevier" Removidos: "CPPM, Aix-Marseille Universit´e, CNRS/IN2P3, Marseille, France." "Bonagamba, Tito José" "2012" Limpar

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  • Source: Flow Measurement and Instrumentation. Unidade: EESC

    Subjects: ESCOAMENTO MULTIFÁSICO, VIBRAÇÕES, REDES NEURAIS, ENGENHARIA MECÂNICA

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    • ABNT

      SESTITO, Guilherme Serpa et al. Vibration-based multiphase-flow pattern classification via machine learning techniques. Flow Measurement and Instrumentation, v. 89, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.flowmeasinst.2022.102290. Acesso em: 05 jul. 2024.
    • APA

      Sestito, G. S., Álvarez-Briceño, R., Ribatski, G., Silva, M. M. da, & Oliveira, L. P. R. de. (2023). Vibration-based multiphase-flow pattern classification via machine learning techniques. Flow Measurement and Instrumentation, 89, 1-12. doi:10.1016/j.flowmeasinst.2022.102290
    • NLM

      Sestito GS, Álvarez-Briceño R, Ribatski G, Silva MM da, Oliveira LPR de. Vibration-based multiphase-flow pattern classification via machine learning techniques [Internet]. Flow Measurement and Instrumentation. 2023 ; 89 1-12.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1016/j.flowmeasinst.2022.102290
    • Vancouver

      Sestito GS, Álvarez-Briceño R, Ribatski G, Silva MM da, Oliveira LPR de. Vibration-based multiphase-flow pattern classification via machine learning techniques [Internet]. Flow Measurement and Instrumentation. 2023 ; 89 1-12.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1016/j.flowmeasinst.2022.102290
  • Source: Mechanism and Machine Theory. Unidade: EESC

    Subjects: CINEMÁTICA, ENGENHARIA MECÂNICA

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      VIEIRA, Hiparco Lins e FONTES, João Vitor de Carvalho e SILVA, Maíra Martins da. Reliable redundancy resolution strategies for kinematically redundant parallel manipulators. Mechanism and Machine Theory, v. 167, p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.mechmachtheory.2021.104531. Acesso em: 05 jul. 2024.
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      Vieira, H. L., Fontes, J. V. de C., & Silva, M. M. da. (2022). Reliable redundancy resolution strategies for kinematically redundant parallel manipulators. Mechanism and Machine Theory, 167, 1-11. doi:10.1016/j.mechmachtheory.2021.104531
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      Vieira HL, Fontes JV de C, Silva MM da. Reliable redundancy resolution strategies for kinematically redundant parallel manipulators [Internet]. Mechanism and Machine Theory. 2022 ; 167 1-11.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1016/j.mechmachtheory.2021.104531
    • Vancouver

      Vieira HL, Fontes JV de C, Silva MM da. Reliable redundancy resolution strategies for kinematically redundant parallel manipulators [Internet]. Mechanism and Machine Theory. 2022 ; 167 1-11.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1016/j.mechmachtheory.2021.104531
  • Source: Control Engineering Practice. Unidade: EESC

    Subjects: MANIPULADORES, ROBÓTICA, ENGENHARIA MECÂNICA

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      COLOMBO, Fernanda Thaís e SILVA, Maíra Martins da. Two hybrid model-based control strategies for a flexible parallel planar manipulator. Control Engineering Practice, v. 127, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.conengprac.2022.105306. Acesso em: 05 jul. 2024.
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      Colombo, F. T., & Silva, M. M. da. (2022). Two hybrid model-based control strategies for a flexible parallel planar manipulator. Control Engineering Practice, 127, 1-9. doi:10.1016/j.conengprac.2022.105306
    • NLM

      Colombo FT, Silva MM da. Two hybrid model-based control strategies for a flexible parallel planar manipulator [Internet]. Control Engineering Practice. 2022 ; 127 1-9.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1016/j.conengprac.2022.105306
    • Vancouver

      Colombo FT, Silva MM da. Two hybrid model-based control strategies for a flexible parallel planar manipulator [Internet]. Control Engineering Practice. 2022 ; 127 1-9.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1016/j.conengprac.2022.105306
  • Source: Expert Systems with Applications. Unidade: EESC

    Subjects: REDE DE COMUNICAÇÃO, FALHA, ENGENHARIA MECÂNICA

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      SESTITO, Guilherme Serpa et al. Versatile unsupervised anomaly detection method for RTE-based networks. Expert Systems with Applications, v. 206, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117751. Acesso em: 05 jul. 2024.
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      Sestito, G. S., Turcato, A. C., Dias, A. L., Ferrari, P., & Silva, M. M. da. (2022). Versatile unsupervised anomaly detection method for RTE-based networks. Expert Systems with Applications, 206, 1-8. doi:10.1016/j.eswa.2022.117751
    • NLM

      Sestito GS, Turcato AC, Dias AL, Ferrari P, Silva MM da. Versatile unsupervised anomaly detection method for RTE-based networks [Internet]. Expert Systems with Applications. 2022 ; 206 1-8.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1016/j.eswa.2022.117751
    • Vancouver

      Sestito GS, Turcato AC, Dias AL, Ferrari P, Silva MM da. Versatile unsupervised anomaly detection method for RTE-based networks [Internet]. Expert Systems with Applications. 2022 ; 206 1-8.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1016/j.eswa.2022.117751
  • Source: Flow Measurement and Instrumentation. Unidade: EESC

    Subjects: APRENDIZADO COMPUTACIONAL, RADAR, TURBULÊNCIA, ENGENHARIA MECÂNICA

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      BORG, Denis e SESTITO, Guilherme Serpa e SILVA, Maíra Martins da. Machine-learning classification of environmental conditions inside a tank by analyzing radar curves in industrial level measurements. Flow Measurement and Instrumentation, v. 79, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.flowmeasinst.2021.101940. Acesso em: 05 jul. 2024.
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      Borg, D., Sestito, G. S., & Silva, M. M. da. (2021). Machine-learning classification of environmental conditions inside a tank by analyzing radar curves in industrial level measurements. Flow Measurement and Instrumentation, 79, 1-9. doi:10.1016/j.flowmeasinst.2021.101940
    • NLM

      Borg D, Sestito GS, Silva MM da. Machine-learning classification of environmental conditions inside a tank by analyzing radar curves in industrial level measurements [Internet]. Flow Measurement and Instrumentation. 2021 ; 79 1-9.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1016/j.flowmeasinst.2021.101940
    • Vancouver

      Borg D, Sestito GS, Silva MM da. Machine-learning classification of environmental conditions inside a tank by analyzing radar curves in industrial level measurements [Internet]. Flow Measurement and Instrumentation. 2021 ; 79 1-9.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1016/j.flowmeasinst.2021.101940

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