Filtros : "Stochastic Environmental Research and Risk Assessment" Limpar

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  • Source: Stochastic Environmental Research and Risk Assessment. Unidade: ICMC

    Subjects: CAMPOS ALEATÓRIOS, SEQUÊNCIAS ESPECTRAIS, ANÁLISE FUNCIONAL

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    • ABNT

      EMERY, Xavier e PERON, Ana Paula e PORCU, Emilio. A catalogue of nonseparable positive semidefinite kernels on the product of two spheres. Stochastic Environmental Research and Risk Assessment, v. 37, n. 4, p. 1497-1518, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00477-022-02347-3. Acesso em: 23 maio 2024.
    • APA

      Emery, X., Peron, A. P., & Porcu, E. (2023). A catalogue of nonseparable positive semidefinite kernels on the product of two spheres. Stochastic Environmental Research and Risk Assessment, 37( 4), 1497-1518. doi:10.1007/s00477-022-02347-3
    • NLM

      Emery X, Peron AP, Porcu E. A catalogue of nonseparable positive semidefinite kernels on the product of two spheres [Internet]. Stochastic Environmental Research and Risk Assessment. 2023 ; 37( 4): 1497-1518.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-022-02347-3
    • Vancouver

      Emery X, Peron AP, Porcu E. A catalogue of nonseparable positive semidefinite kernels on the product of two spheres [Internet]. Stochastic Environmental Research and Risk Assessment. 2023 ; 37( 4): 1497-1518.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-022-02347-3
  • Source: Stochastic Environmental Research and Risk Assessment. Unidade: ESALQ

    Subjects: HIDROLOGIA, INFERÊNCIA ESTATÍSTICA, MÉTODO DE MONTE CARLO, REDES NEURAIS

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    • ABNT

      ALTHOFF, Daniel e RODRIGUES, Lineu Neiva e BAZAME, Helizani Couto. Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble. Stochastic Environmental Research and Risk Assessment, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00477-021-01980-8. Acesso em: 23 maio 2024.
    • APA

      Althoff, D., Rodrigues, L. N., & Bazame, H. C. (2021). Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble. Stochastic Environmental Research and Risk Assessment, 1-17. doi:10.1007/s00477-021-01980-8
    • NLM

      Althoff D, Rodrigues LN, Bazame HC. Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble [Internet]. Stochastic Environmental Research and Risk Assessment. 2021 ; 1-17.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-021-01980-8
    • Vancouver

      Althoff D, Rodrigues LN, Bazame HC. Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble [Internet]. Stochastic Environmental Research and Risk Assessment. 2021 ; 1-17.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-021-01980-8
  • Source: Stochastic Environmental Research and Risk Assessment. Unidade: FEARP

    Subjects: CLIMA, INCÊNDIO, MÉTODOS DE DECOMPOSIÇÃO

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    • ABNT

      VALENTE, Fernanda Cristina e LAURINI, Marcio Poletti. Spatio-temporal analysis of fire occurrence in Australia. Stochastic Environmental Research and Risk Assessment, v. 35, p. 1759–1770, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00477-021-02043-8. Acesso em: 23 maio 2024.
    • APA

      Valente, F. C., & Laurini, M. P. (2021). Spatio-temporal analysis of fire occurrence in Australia. Stochastic Environmental Research and Risk Assessment, 35, 1759–1770. doi:10.1007/s00477-021-02043-8
    • NLM

      Valente FC, Laurini MP. Spatio-temporal analysis of fire occurrence in Australia [Internet]. Stochastic Environmental Research and Risk Assessment. 2021 ; 35 1759–1770.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-021-02043-8
    • Vancouver

      Valente FC, Laurini MP. Spatio-temporal analysis of fire occurrence in Australia [Internet]. Stochastic Environmental Research and Risk Assessment. 2021 ; 35 1759–1770.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-021-02043-8
  • Source: Stochastic Environmental Research and Risk Assessment. Unidade: ICMC

    Subjects: APROXIMAÇÃO, INTERPOLAÇÃO

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    • ABNT

      BISSIRI, Pier Giovanni e PERON, Ana Paula e PORCU, Emilio. Strict positive definiteness under axial symmetry on the sphere. Stochastic Environmental Research and Risk Assessment, v. 34, n. 5, p. 723–732, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00477-020-01796-y. Acesso em: 23 maio 2024.
    • APA

      Bissiri, P. G., Peron, A. P., & Porcu, E. (2020). Strict positive definiteness under axial symmetry on the sphere. Stochastic Environmental Research and Risk Assessment, 34( 5), 723–732. doi:10.1007/s00477-020-01796-y
    • NLM

      Bissiri PG, Peron AP, Porcu E. Strict positive definiteness under axial symmetry on the sphere [Internet]. Stochastic Environmental Research and Risk Assessment. 2020 ; 34( 5): 723–732.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-020-01796-y
    • Vancouver

      Bissiri PG, Peron AP, Porcu E. Strict positive definiteness under axial symmetry on the sphere [Internet]. Stochastic Environmental Research and Risk Assessment. 2020 ; 34( 5): 723–732.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-020-01796-y
  • Source: Stochastic Environmental Research and Risk Assessment. Unidade: EESC

    Subjects: CONDUTIVIDADE HIDRÁULICA DO SOLO, VARIABILIDADE ESPACIAL, COLUNAS, ANÁLISE ESTOCÁSTICA, GEOTECNIA

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    • ABNT

      GODOY, Vanessa Almeida de e ZUQUETTE, Lázaro Valentin e GÓMEZ HERNÁNDEZ, José Jaime. Stochastic upscaling of hydrodynamic dispersion and retardation factor in a physically and chemically heterogeneous tropical soil. Stochastic Environmental Research and Risk Assessment, v. 33, p. 201-216, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00477-018-1624-z. Acesso em: 23 maio 2024.
    • APA

      Godoy, V. A. de, Zuquette, L. V., & Gómez Hernández, J. J. (2019). Stochastic upscaling of hydrodynamic dispersion and retardation factor in a physically and chemically heterogeneous tropical soil. Stochastic Environmental Research and Risk Assessment, 33, 201-216. doi:10.1007/s00477-018-1624-z
    • NLM

      Godoy VA de, Zuquette LV, Gómez Hernández JJ. Stochastic upscaling of hydrodynamic dispersion and retardation factor in a physically and chemically heterogeneous tropical soil [Internet]. Stochastic Environmental Research and Risk Assessment. 2019 ; 33 201-216.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-018-1624-z
    • Vancouver

      Godoy VA de, Zuquette LV, Gómez Hernández JJ. Stochastic upscaling of hydrodynamic dispersion and retardation factor in a physically and chemically heterogeneous tropical soil [Internet]. Stochastic Environmental Research and Risk Assessment. 2019 ; 33 201-216.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-018-1624-z
  • Source: Stochastic Environmental Research and Risk Assessment. Unidade: ICMC

    Assunto: ANÁLISE FUNCIONAL

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    • ABNT

      PERON, Ana Paula e PORCU, Emilio e EMERY, Xavier. Admissible nested covariance models over spheres cross time. Stochastic Environmental Research and Risk Assessment, v. No 2018, n. 11, p. 3053-3066, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00477-018-1576-3. Acesso em: 23 maio 2024.
    • APA

      Peron, A. P., Porcu, E., & Emery, X. (2018). Admissible nested covariance models over spheres cross time. Stochastic Environmental Research and Risk Assessment, No 2018( 11), 3053-3066. doi:10.1007/s00477-018-1576-3
    • NLM

      Peron AP, Porcu E, Emery X. Admissible nested covariance models over spheres cross time [Internet]. Stochastic Environmental Research and Risk Assessment. 2018 ; No 2018( 11): 3053-3066.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-018-1576-3
    • Vancouver

      Peron AP, Porcu E, Emery X. Admissible nested covariance models over spheres cross time [Internet]. Stochastic Environmental Research and Risk Assessment. 2018 ; No 2018( 11): 3053-3066.[citado 2024 maio 23 ] Available from: https://doi.org/10.1007/s00477-018-1576-3

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