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  • Source: Connection Science. Unidade: ICMC

    Subjects: COMPUTAÇÃO EM NUVEM, RECUPERAÇÃO DA INFORMAÇÃO, CRIPTOLOGIA

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      XIAO, Tingting et al. Multi-keyword ranked search based on mapping set matching in cloud ciphertext storage system. Connection Science, v. 33, n. 1, p. 95-112, 2021Tradução . . Disponível em: https://doi.org/10.1080/09540091.2020.1753175. Acesso em: 18 nov. 2024.
    • APA

      Xiao, T., Han, D., He, J., Li, K. -C., & Mello, R. F. de. (2021). Multi-keyword ranked search based on mapping set matching in cloud ciphertext storage system. Connection Science, 33( 1), 95-112. doi:10.1080/09540091.2020.1753175
    • NLM

      Xiao T, Han D, He J, Li K-C, Mello RF de. Multi-keyword ranked search based on mapping set matching in cloud ciphertext storage system [Internet]. Connection Science. 2021 ; 33( 1): 95-112.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1080/09540091.2020.1753175
    • Vancouver

      Xiao T, Han D, He J, Li K-C, Mello RF de. Multi-keyword ranked search based on mapping set matching in cloud ciphertext storage system [Internet]. Connection Science. 2021 ; 33( 1): 95-112.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1080/09540091.2020.1753175
  • Source: Soft Computing. Unidade: ICMC

    Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL

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    • ABNT

      HAN, Dezhi et al. Cross-modality co-attention networks for visual question answering. Soft Computing, v. 25, n. 7, p. 5411-5421, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00500-020-05539-7. Acesso em: 18 nov. 2024.
    • APA

      Han, D., Zhou, S., Li, K. -C., & Mello, R. F. de. (2021). Cross-modality co-attention networks for visual question answering. Soft Computing, 25( 7), 5411-5421. doi:10.1007/s00500-020-05539-7
    • NLM

      Han D, Zhou S, Li K-C, Mello RF de. Cross-modality co-attention networks for visual question answering [Internet]. Soft Computing. 2021 ; 25( 7): 5411-5421.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/s00500-020-05539-7
    • Vancouver

      Han D, Zhou S, Li K-C, Mello RF de. Cross-modality co-attention networks for visual question answering [Internet]. Soft Computing. 2021 ; 25( 7): 5411-5421.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/s00500-020-05539-7
  • Source: Sensors. Unidade: ICMC

    Subjects: WIRELESS, ALGORITMOS GENÉTICOS

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      HAN, Dezhi et al. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks. Sensors, v. 20, p. 1-24, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20020343. Acesso em: 18 nov. 2024.
    • APA

      Han, D., Yu, Y., Li, K. -C., & Mello, R. F. de. (2020). Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks. Sensors, 20, 1-24. doi:10.3390/s20020343
    • NLM

      Han D, Yu Y, Li K-C, Mello RF de. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks [Internet]. Sensors. 2020 ; 20 1-24.[citado 2024 nov. 18 ] Available from: https://doi.org/10.3390/s20020343
    • Vancouver

      Han D, Yu Y, Li K-C, Mello RF de. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks [Internet]. Sensors. 2020 ; 20 1-24.[citado 2024 nov. 18 ] Available from: https://doi.org/10.3390/s20020343

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