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  • Source: Wireless Communications and Mobile Computing. Unidades: ICMC, EACH

    Subjects: COMPUTAÇÃO MÓVEL, WIRELESS, COMUNICAÇÃO, VEÍCULOS, TRÁFEGO RODOVIÁRIO, SEGURANÇA VEICULAR

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      CORREA, Claudio et al. Optimization of transmission signal power through observation of congestion in VANets using the fuzzy logic approach: a case study in highway and urban layout. Wireless Communications and Mobile Computing, v. 2019, p. 1-23, 2019Tradução . . Disponível em: https://doi.org/10.1155/2019/2605234. Acesso em: 01 out. 2024.
    • APA

      Correa, C., Meneguette, R. I., Oliveira, P. R., & Ueyama, J. (2019). Optimization of transmission signal power through observation of congestion in VANets using the fuzzy logic approach: a case study in highway and urban layout. Wireless Communications and Mobile Computing, 2019, 1-23. doi:10.1155/2019/2605234
    • NLM

      Correa C, Meneguette RI, Oliveira PR, Ueyama J. Optimization of transmission signal power through observation of congestion in VANets using the fuzzy logic approach: a case study in highway and urban layout [Internet]. Wireless Communications and Mobile Computing. 2019 ; 2019 1-23.[citado 2024 out. 01 ] Available from: https://doi.org/10.1155/2019/2605234
    • Vancouver

      Correa C, Meneguette RI, Oliveira PR, Ueyama J. Optimization of transmission signal power through observation of congestion in VANets using the fuzzy logic approach: a case study in highway and urban layout [Internet]. Wireless Communications and Mobile Computing. 2019 ; 2019 1-23.[citado 2024 out. 01 ] Available from: https://doi.org/10.1155/2019/2605234
  • Source: Information Sciences. Unidade: FFCLRP

    Subjects: RECONHECIMENTO DE PADRÕES, MÚSICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      COCA, Andrés E e LIANG, Zhao. Musical rhythmic pattern extraction using relevance of communities in networks. Information Sciences, v. 329, p. 819-848, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2015.09.030. Acesso em: 01 out. 2024.
    • APA

      Coca, A. E., & Liang, Z. (2016). Musical rhythmic pattern extraction using relevance of communities in networks. Information Sciences, 329, 819-848. doi:10.1016/j.ins.2015.09.030
    • NLM

      Coca AE, Liang Z. Musical rhythmic pattern extraction using relevance of communities in networks [Internet]. Information Sciences. 2016 ; 329 819-848.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.ins.2015.09.030
    • Vancouver

      Coca AE, Liang Z. Musical rhythmic pattern extraction using relevance of communities in networks [Internet]. Information Sciences. 2016 ; 329 819-848.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.ins.2015.09.030
  • Source: Computer Methods and Programs in Biomedicine. Unidades: FFCLRP, ICB

    Subjects: DIAGNÓSTICO POR IMAGEM, MORFOMETRIA, INFORMÁTICA MÉDICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      MACEDO, Alessandra Alaniz et al. Morphometric information to reduce the semantic gap in the characterization of microscopic images of thyroid nodules. Computer Methods and Programs in Biomedicine, v. 130, p. 162-174, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2016.03.017. Acesso em: 01 out. 2024.
    • APA

      Macedo, A. A., Pessotti, H. C., Almansa, L. F., Felipe, J. C., & Kimura, E. T. (2016). Morphometric information to reduce the semantic gap in the characterization of microscopic images of thyroid nodules. Computer Methods and Programs in Biomedicine, 130, 162-174. doi:10.1016/j.cmpb.2016.03.017
    • NLM

      Macedo AA, Pessotti HC, Almansa LF, Felipe JC, Kimura ET. Morphometric information to reduce the semantic gap in the characterization of microscopic images of thyroid nodules [Internet]. Computer Methods and Programs in Biomedicine. 2016 ; 130 162-174.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.cmpb.2016.03.017
    • Vancouver

      Macedo AA, Pessotti HC, Almansa LF, Felipe JC, Kimura ET. Morphometric information to reduce the semantic gap in the characterization of microscopic images of thyroid nodules [Internet]. Computer Methods and Programs in Biomedicine. 2016 ; 130 162-174.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.cmpb.2016.03.017
  • Source: Information Sciences. Unidade: FFCLRP

    Subjects: RECONHECIMENTO DE PADRÕES, REDES COMPLEXAS, ALGORITMOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      FERREIRA, Leonardo N. Time series clustering via community detection in networks. Information Sciences, v. 326, p. 227-242, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2015.07.046. Acesso em: 01 out. 2024.
    • APA

      Ferreira, L. N. (2016). Time series clustering via community detection in networks. Information Sciences, 326, 227-242. doi:10.1016/j.ins.2015.07.046
    • NLM

      Ferreira LN. Time series clustering via community detection in networks [Internet]. Information Sciences. 2016 ; 326 227-242.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.ins.2015.07.046
    • Vancouver

      Ferreira LN. Time series clustering via community detection in networks [Internet]. Information Sciences. 2016 ; 326 227-242.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.ins.2015.07.046

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