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  • Source: IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. Unidade: ICMC

    Subjects: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TEORIA DOS GRAFOS

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    • ABNT

      SPADON, Gabriel et al. Pay attention to evolution: time series forecasting with deep graph-evolution learning. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM, v. 44, n. 9, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1109/TPAMI.2021.3076155. Acesso em: 16 ago. 2024.
    • APA

      Spadon, G., Hong, S., Machado, B. B., Matwin, S., Rodrigues Junior, J. F., & Sun, J. (2022). Pay attention to evolution: time series forecasting with deep graph-evolution learning. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM, 44( 9), Se 2022. doi:10.1109/TPAMI.2021.3076155
    • NLM

      Spadon G, Hong S, Machado BB, Matwin S, Rodrigues Junior JF, Sun J. Pay attention to evolution: time series forecasting with deep graph-evolution learning [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. 2022 ; 44( 9): Se 2022.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1109/TPAMI.2021.3076155
    • Vancouver

      Spadon G, Hong S, Machado BB, Matwin S, Rodrigues Junior JF, Sun J. Pay attention to evolution: time series forecasting with deep graph-evolution learning [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. 2022 ; 44( 9): Se 2022.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1109/TPAMI.2021.3076155
  • Source: Knowledge and Information Systems. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS

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    • ABNT

      SOUZA, Vinícius Mourão Alves de et al. Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowledge and Information Systems, v. 63, n. 6, p. 1497-1527, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10115-021-01564-6. Acesso em: 16 ago. 2024.
    • APA

      Souza, V. M. A. de, Parmezan, A. R. S., Chowdhury, F. A., & Mueen, A. (2021). Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowledge and Information Systems, 63( 6), 1497-1527. doi:10.1007/s10115-021-01564-6
    • NLM

      Souza VMA de, Parmezan ARS, Chowdhury FA, Mueen A. Efficient unsupervised drift detector for fast and high-dimensional data streams [Internet]. Knowledge and Information Systems. 2021 ; 63( 6): 1497-1527.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s10115-021-01564-6
    • Vancouver

      Souza VMA de, Parmezan ARS, Chowdhury FA, Mueen A. Efficient unsupervised drift detector for fast and high-dimensional data streams [Internet]. Knowledge and Information Systems. 2021 ; 63( 6): 1497-1527.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s10115-021-01564-6
  • Source: Applied Mathematics and Optimization. Unidade: ICMC

    Subjects: EQUAÇÕES DE NAVIER-STOKES, ATRATORES, VISCOSIDADE DO FLUXO DOS FLUÍDOS

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    • ABNT

      YANG, Xin-Guang et al. Dynamics of 2D incompressible non-autonomous Navier–Stokes equations on Lipschitz-like domains. Applied Mathematics and Optimization, v. 83, n. 3, p. 2129-2183, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00245-019-09622-w. Acesso em: 16 ago. 2024.
    • APA

      Yang, X. -G., Qin, Y., Lu, Y., & Ma, T. F. (2021). Dynamics of 2D incompressible non-autonomous Navier–Stokes equations on Lipschitz-like domains. Applied Mathematics and Optimization, 83( 3), 2129-2183. doi:10.1007/s00245-019-09622-w
    • NLM

      Yang X-G, Qin Y, Lu Y, Ma TF. Dynamics of 2D incompressible non-autonomous Navier–Stokes equations on Lipschitz-like domains [Internet]. Applied Mathematics and Optimization. 2021 ; 83( 3): 2129-2183.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s00245-019-09622-w
    • Vancouver

      Yang X-G, Qin Y, Lu Y, Ma TF. Dynamics of 2D incompressible non-autonomous Navier–Stokes equations on Lipschitz-like domains [Internet]. Applied Mathematics and Optimization. 2021 ; 83( 3): 2129-2183.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s00245-019-09622-w
  • Source: International Journal of Electrical Power & Energy Systems. Unidade: EESC

    Subjects: CIBERNÉTICA, REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ENGENHARIA ELÉTRICA

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    • ABNT

      BRETAS, Arturo Suman e BRETAS, Newton Geraldo e CARVALHO, Breno Elias Bretas de. Further contributions to smart grids cyber-physical security as a malicious data attack: proof and properties of the parameter error spreading out to the measurements and a relaxed correction model. International Journal of Electrical Power & Energy Systems, v. 104, p. 43-51, 2019Tradução . . Disponível em: http://dx.doi.org/10.1016/j.ijepes.2018.06.039. Acesso em: 16 ago. 2024.
    • APA

      Bretas, A. S., Bretas, N. G., & Carvalho, B. E. B. de. (2019). Further contributions to smart grids cyber-physical security as a malicious data attack: proof and properties of the parameter error spreading out to the measurements and a relaxed correction model. International Journal of Electrical Power & Energy Systems, 104, 43-51. doi:10.1016/j.ijepes.2018.06.039
    • NLM

      Bretas AS, Bretas NG, Carvalho BEB de. Further contributions to smart grids cyber-physical security as a malicious data attack: proof and properties of the parameter error spreading out to the measurements and a relaxed correction model [Internet]. International Journal of Electrical Power & Energy Systems. 2019 ; 104 43-51.[citado 2024 ago. 16 ] Available from: http://dx.doi.org/10.1016/j.ijepes.2018.06.039
    • Vancouver

      Bretas AS, Bretas NG, Carvalho BEB de. Further contributions to smart grids cyber-physical security as a malicious data attack: proof and properties of the parameter error spreading out to the measurements and a relaxed correction model [Internet]. International Journal of Electrical Power & Energy Systems. 2019 ; 104 43-51.[citado 2024 ago. 16 ] Available from: http://dx.doi.org/10.1016/j.ijepes.2018.06.039
  • Source: PLOS ONE. Unidades: ESALQ, IFSC

    Subjects: AEDES, PROTEÍNAS, DENGUE

    Acesso à fonteDOIHow to cite
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    • ABNT

      LEITE, Ney Ribeiro et al. Structure of an odorant-binding protein from the mosquito Aedes aegypti suggests a binding pocket covered by a pH-sensitive "lid". PLOS ONE, v. 4, n. 11, p. 1-7, 2009Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0008006.t001. Acesso em: 16 ago. 2024.
    • APA

      Leite, N. R., Krogh, R., Xu, W., Ishida, Y., Iulek, J., Leal, W. S., & Oliva, G. (2009). Structure of an odorant-binding protein from the mosquito Aedes aegypti suggests a binding pocket covered by a pH-sensitive "lid". PLOS ONE, 4( 11), 1-7. doi:10.1371/journal.pone.0008006.t001
    • NLM

      Leite NR, Krogh R, Xu W, Ishida Y, Iulek J, Leal WS, Oliva G. Structure of an odorant-binding protein from the mosquito Aedes aegypti suggests a binding pocket covered by a pH-sensitive "lid" [Internet]. PLOS ONE. 2009 ; 4( 11): 1-7.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1371/journal.pone.0008006.t001
    • Vancouver

      Leite NR, Krogh R, Xu W, Ishida Y, Iulek J, Leal WS, Oliva G. Structure of an odorant-binding protein from the mosquito Aedes aegypti suggests a binding pocket covered by a pH-sensitive "lid" [Internet]. PLOS ONE. 2009 ; 4( 11): 1-7.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1371/journal.pone.0008006.t001

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