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Artigo de periodico
Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves (2020)
Louzada, Francisco ; Cuminato, José Alberto ; Rodriguez, Oscar Maurício Hernandez ; Tomazella, Vera Lucia Damasceno ; Milani, Eder Angelo ; Ferreira, Paulo Henrique ; Ramos, Pedro Luiz ; Bochio, Gustavo; Perissini, Ivan Carlos ; Gonzatto Junior, Oilson Alberto ; Mota, Alex Leal ; Alegria, Luis Felipe Acuña; Colombo, Danilo ; Oliveira, Paulo Guilherme Oliveira de; Santos, Hugo Francisco Lisboa; Magalhães, Marcus Vinicius de Campos
Source: IEEE Access. Unidades: ICMC, EESC, INTER: ICMC -UFSCAR
Subjects: RISCO, POÇOS, PETRÓLEO, INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA, MECÂNICA DOS FLUÍDOS, PROSPECÇÃO DO PETRÓLEO
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ABNT
LOUZADA, Francisco et al. Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves. IEEE Access, v. 8, p. 219757-219774, 2020Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2020.3040525. Acesso em: 17 nov. 2024.
APA
Louzada, F., Cuminato, J. A., Rodriguez, O. M. H., Tomazella, V. L. D., Milani, E. A., Ferreira, P. H., et al. (2020). Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves. IEEE Access, 8, 219757-219774. doi:10.1109/ACCESS.2020.3040525
NLM
Louzada F, Cuminato JA, Rodriguez OMH, Tomazella VLD, Milani EA, Ferreira PH, Ramos PL, Bochio G, Perissini IC, Gonzatto Junior OA, Mota AL, Alegria LFA, Colombo D, Oliveira PGO de, Santos HFL, Magalhães MV de C. Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves [Internet]. IEEE Access. 2020 ; 8 219757-219774.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ACCESS.2020.3040525
Vancouver
Louzada F, Cuminato JA, Rodriguez OMH, Tomazella VLD, Milani EA, Ferreira PH, Ramos PL, Bochio G, Perissini IC, Gonzatto Junior OA, Mota AL, Alegria LFA, Colombo D, Oliveira PGO de, Santos HFL, Magalhães MV de C. Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves [Internet]. IEEE Access. 2020 ; 8 219757-219774.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ACCESS.2020.3040525
Artigo de periodico
Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset (2020)
Pinheiro, Gabriel A.; Mucelini, Johnatan ; Soares, Marinalva Dias ; Prati, Ronaldo Cristiano ; Silva, Juarez Lopes Ferreira da ; Quiles, Marcos Gonçalves
Source: Journal of Physical Chemistry A. Unidades: IQSC, ICMC
Assunto: QUÍMICA QUÂNTICA
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ABNT
PINHEIRO, Gabriel A. et al. Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset. Journal of Physical Chemistry A, v. No 2020, n. 47, p. 9854–9866, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.jpca.0c05969. Acesso em: 17 nov. 2024.
APA
Pinheiro, G. A., Mucelini, J., Soares, M. D., Prati, R. C., Silva, J. L. F. da, & Quiles, M. G. (2020). Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset. Journal of Physical Chemistry A, No 2020( 47), 9854–9866. doi:10.1021/acs.jpca.0c05969
NLM
Pinheiro GA, Mucelini J, Soares MD, Prati RC, Silva JLF da, Quiles MG. Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset [Internet]. Journal of Physical Chemistry A. 2020 ; No 2020( 47): 9854–9866.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1021/acs.jpca.0c05969
Vancouver
Pinheiro GA, Mucelini J, Soares MD, Prati RC, Silva JLF da, Quiles MG. Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset [Internet]. Journal of Physical Chemistry A. 2020 ; No 2020( 47): 9854–9866.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1021/acs.jpca.0c05969
Artigo de periodico
A repairable system subjected to hierarchical competing risks: modeling and applications (2019)
Louzada, Francisco ; Cuminato, José Alberto ; Rodriguez, Oscar Maurício Hernandez ; Tomazella, Vera Lucia Damasceno ; Ferreira, Paulo H; Ramos, Pedro Luiz ; Niaki, Seyed Reza Amini ; Gonzatto Junior, Oilson Alberto; Perissini, Ivan Carlos ; Alegria, Luis Felipe Acuña; Colombo, Danilo; Martins, David E. A; Santos, Hugo F. L
Source: IEEE Access. Unidades: ICMC, EESC, INTER: ICMC -UFSCAR
Subjects: PROCESSOS DE POISSON, VEROSSIMILHANÇA, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco et al. A repairable system subjected to hierarchical competing risks: modeling and applications. IEEE Access, v. 7, p. 171707-171723, 2019Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2019.2954767. Acesso em: 17 nov. 2024.
APA
Louzada, F., Cuminato, J. A., Rodriguez, O. M. H., Tomazella, V. L. D., Ferreira, P. H., Ramos, P. L., et al. (2019). A repairable system subjected to hierarchical competing risks: modeling and applications. IEEE Access, 7, 171707-171723. doi:10.1109/ACCESS.2019.2954767
NLM
Louzada F, Cuminato JA, Rodriguez OMH, Tomazella VLD, Ferreira PH, Ramos PL, Niaki SRA, Gonzatto Junior OA, Perissini IC, Alegria LFA, Colombo D, Martins DEA, Santos HFL. A repairable system subjected to hierarchical competing risks: modeling and applications [Internet]. IEEE Access. 2019 ; 7 171707-171723.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ACCESS.2019.2954767
Vancouver
Louzada F, Cuminato JA, Rodriguez OMH, Tomazella VLD, Ferreira PH, Ramos PL, Niaki SRA, Gonzatto Junior OA, Perissini IC, Alegria LFA, Colombo D, Martins DEA, Santos HFL. A repairable system subjected to hierarchical competing risks: modeling and applications [Internet]. IEEE Access. 2019 ; 7 171707-171723.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ACCESS.2019.2954767
Artigo de periodico
A finite difference method with meshless interpolation for incompressible flows in non-graded tree-based grids (2019)
Sousa, Fabricio Simeoni de ; Lages, Camila Faria Afonso ; Ansoni, Jonas Laerte ; Castelo, Antonio ; Simão, Adenilso da Silva
Source: Journal of Computational Physics. Unidade: ICMC
Subjects: DIFERENÇAS FINITAS, FLUXO DOS FLUÍDOS, CONVERGÊNCIA, MÍNIMOS QUADRADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUSA, Fabricio Simeoni de et al. A finite difference method with meshless interpolation for incompressible flows in non-graded tree-based grids. Journal of Computational Physics, v. 396, p. 848-866, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jcp.2019.07.011. Acesso em: 17 nov. 2024.
APA
Sousa, F. S. de, Lages, C. F. A., Ansoni, J. L., Castelo, A., & Simão, A. da S. (2019). A finite difference method with meshless interpolation for incompressible flows in non-graded tree-based grids. Journal of Computational Physics, 396, 848-866. doi:10.1016/j.jcp.2019.07.011
NLM
Sousa FS de, Lages CFA, Ansoni JL, Castelo A, Simão A da S. A finite difference method with meshless interpolation for incompressible flows in non-graded tree-based grids [Internet]. Journal of Computational Physics. 2019 ; 396 848-866.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1016/j.jcp.2019.07.011
Vancouver
Sousa FS de, Lages CFA, Ansoni JL, Castelo A, Simão A da S. A finite difference method with meshless interpolation for incompressible flows in non-graded tree-based grids [Internet]. Journal of Computational Physics. 2019 ; 396 848-866.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1016/j.jcp.2019.07.011

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