Filtros : "Engineering Applications of Artificial Intelligence" "2017" Limpar

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  • Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC

    Subjects: FERRAMENTAS (SISTEMAS COMPUTACIONAIS), ONTOLOGIA, WEB SEMÂNTICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      HOLANDA, O et al. An object triple mapping system supporting detached objects: a performance and memory usage empirical comparison. Engineering Applications of Artificial Intelligence, v. 62, n. Ju 2017, p. 234-251, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2017.04.010. Acesso em: 05 dez. 2025.
    • APA

      Holanda, O., Isotani, S., Bittencourt, I. I., Dermeval, D., & Alcantara, W. (2017). An object triple mapping system supporting detached objects: a performance and memory usage empirical comparison. Engineering Applications of Artificial Intelligence, 62( Ju 2017), 234-251. doi:10.1016/j.engappai.2017.04.010
    • NLM

      Holanda O, Isotani S, Bittencourt II, Dermeval D, Alcantara W. An object triple mapping system supporting detached objects: a performance and memory usage empirical comparison [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 62( Ju 2017): 234-251.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2017.04.010
    • Vancouver

      Holanda O, Isotani S, Bittencourt II, Dermeval D, Alcantara W. An object triple mapping system supporting detached objects: a performance and memory usage empirical comparison [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 62( Ju 2017): 234-251.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2017.04.010
  • Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO APLICADA, INFERÊNCIA BAYESIANA, AGRICULTURA DE PRECISÃO

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    • ABNT

      DRURY, Brett et al. A survey of the applications of Bayesian networks in agriculture. Engineering Applications of Artificial Intelligence, v. 65, p. 29-42, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2017.07.003. Acesso em: 05 dez. 2025.
    • APA

      Drury, B., Valverde-Rebaza, J., Moura, M. F., & Lopes, A. de A. (2017). A survey of the applications of Bayesian networks in agriculture. Engineering Applications of Artificial Intelligence, 65, 29-42. doi:10.1016/j.engappai.2017.07.003
    • NLM

      Drury B, Valverde-Rebaza J, Moura MF, Lopes A de A. A survey of the applications of Bayesian networks in agriculture [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 65 29-42.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2017.07.003
    • Vancouver

      Drury B, Valverde-Rebaza J, Moura MF, Lopes A de A. A survey of the applications of Bayesian networks in agriculture [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 65 29-42.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2017.07.003
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EESC

    Subjects: ENERGIA ELÉTRICA, HARDWARE, REDES NEURAIS, ENGENHARIA ELÉTRICA

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    • ABNT

      SILVA, Alex Soto da et al. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks. Engineering Applications of Artificial Intelligence, v. 57, p. 50-60, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2016.10.012. Acesso em: 05 dez. 2025.
    • APA

      Silva, A. S. da, Santos, R. C. dos, Bottura, F. B., & Oleskovicz, M. (2017). Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks. Engineering Applications of Artificial Intelligence, 57, 50-60. doi:10.1016/j.engappai.2016.10.012
    • NLM

      Silva AS da, Santos RC dos, Bottura FB, Oleskovicz M. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 57 50-60.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2016.10.012
    • Vancouver

      Silva AS da, Santos RC dos, Bottura FB, Oleskovicz M. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 57 50-60.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2016.10.012

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