Filtros : "Applied Artificial Intelligence" Limpar

Filtros



Refine with date range


  • Source: Applied Artificial Intelligence. Unidade: FCFRP

    Subjects: CIÊNCIAS JURÍDICAS, SOLO AGRÍCOLA, CLUSTERS, MINERAÇÃO DE DADOS, DATILOSCOPIA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      MAIONE, Camila et al. A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint. Applied Artificial Intelligence, v. 36, n. 1, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1080/08839514.2021.2010941. Acesso em: 03 jun. 2024.
    • APA

      Maione, C., Costa, N. L. da, Barbosa Júnior, F., & Barbosa, R. M. (2022). A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint. Applied Artificial Intelligence, 36( 1), 1-20. doi:10.1080/08839514.2021.2010941
    • NLM

      Maione C, Costa NL da, Barbosa Júnior F, Barbosa RM. A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint [Internet]. Applied Artificial Intelligence. 2022 ; 36( 1): 1-20.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1080/08839514.2021.2010941
    • Vancouver

      Maione C, Costa NL da, Barbosa Júnior F, Barbosa RM. A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint [Internet]. Applied Artificial Intelligence. 2022 ; 36( 1): 1-20.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1080/08839514.2021.2010941
  • Source: Applied Artificial Intelligence. Unidade: ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FERREIRA, Bruno V. et al. Exploiting the use of convolutional neural networks for localization in indoor environments. Applied Artificial Intelligence, v. 31, n. 3, p. 279-287, 2017Tradução . . Disponível em: https://doi.org/10.1080/08839514.2017.1316592. Acesso em: 03 jun. 2024.
    • APA

      Ferreira, B. V., Carvalho, E., Ferreira, M. R., Vargas, P. A., Ueyama, J., & Pessin, G. (2017). Exploiting the use of convolutional neural networks for localization in indoor environments. Applied Artificial Intelligence, 31( 3), 279-287. doi:10.1080/08839514.2017.1316592
    • NLM

      Ferreira BV, Carvalho E, Ferreira MR, Vargas PA, Ueyama J, Pessin G. Exploiting the use of convolutional neural networks for localization in indoor environments [Internet]. Applied Artificial Intelligence. 2017 ; 31( 3): 279-287.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1080/08839514.2017.1316592
    • Vancouver

      Ferreira BV, Carvalho E, Ferreira MR, Vargas PA, Ueyama J, Pessin G. Exploiting the use of convolutional neural networks for localization in indoor environments [Internet]. Applied Artificial Intelligence. 2017 ; 31( 3): 279-287.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1080/08839514.2017.1316592
  • Source: Applied Artificial Intelligence. Unidade: ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA

    How to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      PESSIN, Gustavo et al. Investigation on the evolution of an indoor robotic localization system based on wireless networks. Applied Artificial Intelligence, v. 27, n. 8, p. 743\2013758, 2013Tradução . . Acesso em: 03 jun. 2024.
    • APA

      Pessin, G., Osório, F. S., Souza, J. R., Ueyama, J., Costa, F. G., Wolf, D. F., et al. (2013). Investigation on the evolution of an indoor robotic localization system based on wireless networks. Applied Artificial Intelligence, 27( 8), 743\2013758.
    • NLM

      Pessin G, Osório FS, Souza JR, Ueyama J, Costa FG, Wolf DF, Dimitrova D, Braun T, Vargas PA. Investigation on the evolution of an indoor robotic localization system based on wireless networks. Applied Artificial Intelligence. 2013 ; 27( 8): 743\2013758.[citado 2024 jun. 03 ]
    • Vancouver

      Pessin G, Osório FS, Souza JR, Ueyama J, Costa FG, Wolf DF, Dimitrova D, Braun T, Vargas PA. Investigation on the evolution of an indoor robotic localization system based on wireless networks. Applied Artificial Intelligence. 2013 ; 27( 8): 743\2013758.[citado 2024 jun. 03 ]
  • Source: Applied Artificial Intelligence. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      ORRU, T. e ROSA, João Luís Garcia e ANDRADE NETTO, Márcio Luiz de. SABio: a biologically plausible connectionist approach to automatic text summarization. Applied Artificial Intelligence, v. 22, n. 9, p. 896-920, 2008Tradução . . Disponível em: http://www.informaworld.com/smpp/title~content=g903561308~db=all. Acesso em: 03 jun. 2024.
    • APA

      Orru, T., Rosa, J. L. G., & Andrade Netto, M. L. de. (2008). SABio: a biologically plausible connectionist approach to automatic text summarization. Applied Artificial Intelligence, 22( 9), 896-920. Recuperado de http://www.informaworld.com/smpp/title~content=g903561308~db=all
    • NLM

      Orru T, Rosa JLG, Andrade Netto ML de. SABio: a biologically plausible connectionist approach to automatic text summarization [Internet]. Applied Artificial Intelligence. 2008 ; 22( 9): 896-920.[citado 2024 jun. 03 ] Available from: http://www.informaworld.com/smpp/title~content=g903561308~db=all
    • Vancouver

      Orru T, Rosa JLG, Andrade Netto ML de. SABio: a biologically plausible connectionist approach to automatic text summarization [Internet]. Applied Artificial Intelligence. 2008 ; 22( 9): 896-920.[citado 2024 jun. 03 ] Available from: http://www.informaworld.com/smpp/title~content=g903561308~db=all

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024