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Artigo de periodico
The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data (2020)
Ng, Wartini; Minasny, Budiman; Mendes, Wanderson de Sousa ; Demattê, Jose Alexandre Melo
Source: Soil. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA INFRAVERMELHA, MODELOS MATEMÁTICOS, REDES NEURAIS, SOLOS
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ABNT
NG, Wartini et al. The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data. Soil, v. 6, n. 2, p. 565-578, 2020Tradução . . Disponível em: https://doi.org/10.5194/soil-6-565-2020. Acesso em: 15 nov. 2024.
APA
Ng, W., Minasny, B., Mendes, W. de S., & Demattê, J. A. M. (2020). The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data. Soil, 6( 2), 565-578. doi:10.5194/soil-6-565-2020
NLM
Ng W, Minasny B, Mendes W de S, Demattê JAM. The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data [Internet]. Soil. 2020 ; 6( 2): 565-578.[citado 2024 nov. 15 ] Available from: https://doi.org/10.5194/soil-6-565-2020
Vancouver
Ng W, Minasny B, Mendes W de S, Demattê JAM. The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data [Internet]. Soil. 2020 ; 6( 2): 565-578.[citado 2024 nov. 15 ] Available from: https://doi.org/10.5194/soil-6-565-2020
Artigo de periodico
Genomic prediction applied to multiple traits and environments in second season maize hybrids (2020)
Oliveira, Amanda Avelar de ; Resende Junior, Marcio Fernando R; Ferrão, Luís Felipe Ventorim; Amadeu, Rodrigo Rampazo; Guimarães, Lauro José Moreira; Guimarães, Claudia Teixeira; Pastina, Maria Marta; Margarido, Gabriel Rodrigues Alves
Source: Heredity. Unidade: ESALQ
Subjects: GENÔMICA, HIBRIDAÇÃO VEGETAL, MELHORAMENTO GENÉTICO VEGETAL, MILHO, MODELOS MATEMÁTICOS, SELEÇÃO GENÉTICA
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OLIVEIRA, Amanda Avelar de et al. Genomic prediction applied to multiple traits and environments in second season maize hybrids. Heredity, v. 125, p. 60–72, 2020Tradução . . Disponível em: https://doi.org/10.1038/s41437-020-0321-0. Acesso em: 15 nov. 2024.
APA
Oliveira, A. A. de, Resende Junior, M. F. R., Ferrão, L. F. V., Amadeu, R. R., Guimarães, L. J. M., Guimarães, C. T., et al. (2020). Genomic prediction applied to multiple traits and environments in second season maize hybrids. Heredity, 125, 60–72. doi:10.1038/s41437-020-0321-0
NLM
Oliveira AA de, Resende Junior MFR, Ferrão LFV, Amadeu RR, Guimarães LJM, Guimarães CT, Pastina MM, Margarido GRA. Genomic prediction applied to multiple traits and environments in second season maize hybrids [Internet]. Heredity. 2020 ; 125 60–72.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1038/s41437-020-0321-0
Vancouver
Oliveira AA de, Resende Junior MFR, Ferrão LFV, Amadeu RR, Guimarães LJM, Guimarães CT, Pastina MM, Margarido GRA. Genomic prediction applied to multiple traits and environments in second season maize hybrids [Internet]. Heredity. 2020 ; 125 60–72.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1038/s41437-020-0321-0
Artigo de periodico
Fractional modeling applied to tilting-pad journal bearings (2020)
Valentim Junior, Carlos Alberto; Rabi, José Antonio ; David, Sérgio Adriani
Source: International Journal of Dynamics and Control. Unidade: FZEA
Subjects: CÁLCULO NUMÉRICO, MODELOS MATEMÁTICOS, VIBRAÇÕES, ROLAMENTOS
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VALENTIM JUNIOR, Carlos Alberto e RABI, José Antonio e DAVID, Sérgio Adriani. Fractional modeling applied to tilting-pad journal bearings. International Journal of Dynamics and Control, 2020Tradução . . Disponível em: https://doi.org/10.1007/s40435-020-00656-5. Acesso em: 15 nov. 2024.
APA
Valentim Junior, C. A., Rabi, J. A., & David, S. A. (2020). Fractional modeling applied to tilting-pad journal bearings. International Journal of Dynamics and Control. doi:10.1007/s40435-020-00656-5
NLM
Valentim Junior CA, Rabi JA, David SA. Fractional modeling applied to tilting-pad journal bearings [Internet]. International Journal of Dynamics and Control. 2020 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s40435-020-00656-5
Vancouver
Valentim Junior CA, Rabi JA, David SA. Fractional modeling applied to tilting-pad journal bearings [Internet]. International Journal of Dynamics and Control. 2020 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s40435-020-00656-5
Artigo de periodico
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials (2020)
Costa Neto, Germano Martins Ferreira ; Fritsche Neto, Roberto ; Crossa, José
Source: Heredity. Unidade: ESALQ
Subjects: GENOMAS, GENÔMICA, INTERAÇÃO GENÓTIPO-AMBIENTE, MILHO, MODELOS MATEMÁTICOS
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ABNT
COSTA NETO, Germano Martins Ferreira e FRITSCHE NETO, Roberto e CROSSA, José. Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials. Heredity, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1038/s41437-020-00353-1. Acesso em: 15 nov. 2024.
APA
Costa Neto, G. M. F., Fritsche Neto, R., & Crossa, J. (2020). Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials. Heredity, 1-15. doi:10.1038/s41437-020-00353-1
NLM
Costa Neto GMF, Fritsche Neto R, Crossa J. Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials [Internet]. Heredity. 2020 ; 1-15.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1038/s41437-020-00353-1
Vancouver
Costa Neto GMF, Fritsche Neto R, Crossa J. Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials [Internet]. Heredity. 2020 ; 1-15.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1038/s41437-020-00353-1
Artigo de periodico
Estimation of reactivity ratios in the copolymerization of styrene and veoVa-10 (2020)
Santos, Murilo Piotrowski; Torraga, Maria Giuliana Fontanelli ; Barbosa, Natália Bahia ; Tavares, Denise Trigilio; Giudici, Reinaldo
Source: Macromolecular Reaction Engineering. Unidade: EP
Subjects: MODELOS MATEMÁTICOS, GRAVIMETRIA
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ABNT
SANTOS, Murilo Piotrowski et al. Estimation of reactivity ratios in the copolymerization of styrene and veoVa-10. Macromolecular Reaction Engineering, v. 14, n. 3, p. 1-9, 2020Tradução . . Disponível em: https://doi.org/10.1002/mren.202000001. Acesso em: 15 nov. 2024.
APA
Santos, M. P., Torraga, M. G. F., Barbosa, N. B., Tavares, D. T., & Giudici, R. (2020). Estimation of reactivity ratios in the copolymerization of styrene and veoVa-10. Macromolecular Reaction Engineering, 14( 3), 1-9. doi:10.1002/mren.202000001
NLM
Santos MP, Torraga MGF, Barbosa NB, Tavares DT, Giudici R. Estimation of reactivity ratios in the copolymerization of styrene and veoVa-10 [Internet]. Macromolecular Reaction Engineering. 2020 ; 14( 3): 1-9.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1002/mren.202000001
Vancouver
Santos MP, Torraga MGF, Barbosa NB, Tavares DT, Giudici R. Estimation of reactivity ratios in the copolymerization of styrene and veoVa-10 [Internet]. Macromolecular Reaction Engineering. 2020 ; 14( 3): 1-9.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1002/mren.202000001
Artigo de periodico
Critical regularity of nonlinearities in semilinear classical damped wave equations (2020)
Ebert, Marcelo Rempel ; Girardi, G.; Reissig, Michael
Source: Mathematische Annalen. Unidade: FFCLRP
Subjects: MODELOS MATEMÁTICOS, EQUAÇÕES ALGÉBRICAS DIFERENCIAIS
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ABNT
EBERT, Marcelo Rempel e GIRARDI, G. e REISSIG, Michael. Critical regularity of nonlinearities in semilinear classical damped wave equations. Mathematische Annalen, v. 378, p. 1311-1326, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00208-019-01921-5. Acesso em: 15 nov. 2024.
APA
Ebert, M. R., Girardi, G., & Reissig, M. (2020). Critical regularity of nonlinearities in semilinear classical damped wave equations. Mathematische Annalen, 378, 1311-1326. doi:10.1007/s00208-019-01921-5
NLM
Ebert MR, Girardi G, Reissig M. Critical regularity of nonlinearities in semilinear classical damped wave equations [Internet]. Mathematische Annalen. 2020 ; 378 1311-1326.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s00208-019-01921-5
Vancouver
Ebert MR, Girardi G, Reissig M. Critical regularity of nonlinearities in semilinear classical damped wave equations [Internet]. Mathematische Annalen. 2020 ; 378 1311-1326.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s00208-019-01921-5
Artigo de periodico
Mathematical modeling of the stabilizer-free dispersion copolymerization of styrene and maleic anhydride: particle growth (2020)
Torraga, Maria Giuliana Fontanelli ; Giudici, Reinaldo
Source: Macromolecular Reaction Engineering. Unidade: EP
Subjects: MODELOS MATEMÁTICOS, POLIMERIZAÇÃO, PARTÍCULAS ELEMENTARES, POLÍMEROS (QUÍMICA ORGÂNICA)
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ABNT
TORRAGA, Maria Giuliana Fontanelli e GIUDICI, Reinaldo. Mathematical modeling of the stabilizer-free dispersion copolymerization of styrene and maleic anhydride: particle growth. Macromolecular Reaction Engineering, v. 14, n. 5, p. 1-16, 2020Tradução . . Disponível em: https://doi.org/10.1002/mren.202000036. Acesso em: 15 nov. 2024.
APA
Torraga, M. G. F., & Giudici, R. (2020). Mathematical modeling of the stabilizer-free dispersion copolymerization of styrene and maleic anhydride: particle growth. Macromolecular Reaction Engineering, 14( 5), 1-16. doi:10.1002/mren.202000036
NLM
Torraga MGF, Giudici R. Mathematical modeling of the stabilizer-free dispersion copolymerization of styrene and maleic anhydride: particle growth [Internet]. Macromolecular Reaction Engineering. 2020 ;14( 5): 1-16.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1002/mren.202000036
Vancouver
Torraga MGF, Giudici R. Mathematical modeling of the stabilizer-free dispersion copolymerization of styrene and maleic anhydride: particle growth [Internet]. Macromolecular Reaction Engineering. 2020 ;14( 5): 1-16.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1002/mren.202000036
Artigo de periodico
Photochemical persistence of sulfa drugs in aqueous medium: kinetic study and mathematical simulations (2020)
Lastre Acosta, Arlen Mabel ; Cristofoli, Bruno Segawa; Parizi, Marcela Prado Silva ; Nascimento, Cláudio Augusto Oller do ; Teixeira, Antonio Carlos S. C.
Source: Environmental Science and Pollution Research. Unidade: EP
Subjects: SULFONAMIDAS, FOTOQUÍMICA, MODELOS MATEMÁTICOS
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ABNT
LASTRE ACOSTA, Arlen Mabel et al. Photochemical persistence of sulfa drugs in aqueous medium: kinetic study and mathematical simulations. Environmental Science and Pollution Research, v. No 2020, p. 1-9, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11356-020-11715-x. Acesso em: 15 nov. 2024.
APA
Lastre Acosta, A. M., Cristofoli, B. S., Parizi, M. P. S., Nascimento, C. A. O. do, & Teixeira, A. C. S. C. (2020). Photochemical persistence of sulfa drugs in aqueous medium: kinetic study and mathematical simulations. Environmental Science and Pollution Research, No 2020, 1-9. doi:10.1007/s11356-020-11715-x
NLM
Lastre Acosta AM, Cristofoli BS, Parizi MPS, Nascimento CAO do, Teixeira ACSC. Photochemical persistence of sulfa drugs in aqueous medium: kinetic study and mathematical simulations [Internet]. Environmental Science and Pollution Research. 2020 ; No 2020 1-9.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s11356-020-11715-x
Vancouver
Lastre Acosta AM, Cristofoli BS, Parizi MPS, Nascimento CAO do, Teixeira ACSC. Photochemical persistence of sulfa drugs in aqueous medium: kinetic study and mathematical simulations [Internet]. Environmental Science and Pollution Research. 2020 ; No 2020 1-9.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s11356-020-11715-x

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