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Artigo de periodico
Myocarditis as a serious complication of Covid-19 (2021)
Flato, Uri Adrian Prync; Biteli, Piero; Reina, Daniela Ortega Balbo Rodrigues; Reina, Fábio Tadeu Rodrigues; Araújo, Adriano Cressoni; Souza, Gabriela Achete de; Campanari, Gyovanna Sorrentino dos Santos; Matias, Júlia Novaes; Lima, Vinícius Marinho; Zutin, Tereza Lais Menegucci; Buchaim, Rogério Leone ; Buchaim, Daniela Vieira; Barbalho, Sandra Maria
Fonte: International Journal of Advanced Engineering Research and Science. Unidade: FOB
Assuntos: MIOCARDITE, COVID-19, CORONAVIRUS, PNEUMONIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLATO, Uri Adrian Prync et al. Myocarditis as a serious complication of Covid-19. International Journal of Advanced Engineering Research and Science, v. 8, n. 3, p. 26-30, 2021Tradução . . Disponível em: https://doi.org/10.22161/ijaers.83.3. Acesso em: 12 nov. 2025.
APA
Flato, U. A. P., Biteli, P., Reina, D. O. B. R., Reina, F. T. R., Araújo, A. C., Souza, G. A. de, et al. (2021). Myocarditis as a serious complication of Covid-19. International Journal of Advanced Engineering Research and Science, 8( 3), 26-30. doi:10.22161/ijaers.83.3
NLM
Flato UAP, Biteli P, Reina DOBR, Reina FTR, Araújo AC, Souza GA de, Campanari GS dos S, Matias JN, Lima VM, Zutin TLM, Buchaim RL, Buchaim DV, Barbalho SM. Myocarditis as a serious complication of Covid-19 [Internet]. International Journal of Advanced Engineering Research and Science. 2021 ; 8( 3): 26-30.[citado 2025 nov. 12 ] Available from: https://doi.org/10.22161/ijaers.83.3
Vancouver
Flato UAP, Biteli P, Reina DOBR, Reina FTR, Araújo AC, Souza GA de, Campanari GS dos S, Matias JN, Lima VM, Zutin TLM, Buchaim RL, Buchaim DV, Barbalho SM. Myocarditis as a serious complication of Covid-19 [Internet]. International Journal of Advanced Engineering Research and Science. 2021 ; 8( 3): 26-30.[citado 2025 nov. 12 ] Available from: https://doi.org/10.22161/ijaers.83.3
Artigo de periodico
A Framework Approach for Risk Assessment and Management of CO2 Geological Storage (2021)
Pontes, Talita; Peyerl, Drielli ; Moretto, Evandro Mateus
Fonte: International Journal of Advanced Engineering Research and Science. Unidades: IEE, EACH
Assuntos: DIÓXIDO DE CARBONO, IMPACTOS AMBIENTAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PONTES, Talita e PEYERL, Drielli e MORETTO, Evandro Mateus. A Framework Approach for Risk Assessment and Management of CO2 Geological Storage. International Journal of Advanced Engineering Research and Science, v. 8, n. 2, p. 192-198, 2021Tradução . . Disponível em: https://doi.org/10.22161/ijaers.82.24. Acesso em: 12 nov. 2025.
APA
Pontes, T., Peyerl, D., & Moretto, E. M. (2021). A Framework Approach for Risk Assessment and Management of CO2 Geological Storage. International Journal of Advanced Engineering Research and Science, 8( 2), 192-198. doi:10.22161/ijaers.82.24
NLM
Pontes T, Peyerl D, Moretto EM. A Framework Approach for Risk Assessment and Management of CO2 Geological Storage [Internet]. International Journal of Advanced Engineering Research and Science. 2021 ; 8( 2): 192-198.[citado 2025 nov. 12 ] Available from: https://doi.org/10.22161/ijaers.82.24
Vancouver
Pontes T, Peyerl D, Moretto EM. A Framework Approach for Risk Assessment and Management of CO2 Geological Storage [Internet]. International Journal of Advanced Engineering Research and Science. 2021 ; 8( 2): 192-198.[citado 2025 nov. 12 ] Available from: https://doi.org/10.22161/ijaers.82.24
Artigo de periodico
Credit risk analysis applying logistic regression, neural networks and genetic algorithms models (2021)
Gonçalves, Eric Bacconi; Gouvêa, Maria Aparecida
Fonte: International Journal of Advanced Engineering Research and Science. Unidades: FEA, EACH
Assuntos: CRÉDITO, REDES NEURAIS, REGRESSÃO LOGÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONÇALVES, Eric Bacconi e GOUVÊA, Maria Aparecida. Credit risk analysis applying logistic regression, neural networks and genetic algorithms models. International Journal of Advanced Engineering Research and Science, v. 8, n. 9, p. 198-209, 2021Tradução . . Disponível em: https://doi.org/10.22161/ijaers.89.20. Acesso em: 12 nov. 2025.
APA
Gonçalves, E. B., & Gouvêa, M. A. (2021). Credit risk analysis applying logistic regression, neural networks and genetic algorithms models. International Journal of Advanced Engineering Research and Science, 8( 9), 198-209. doi:10.22161/ijaers.89.20
NLM
Gonçalves EB, Gouvêa MA. Credit risk analysis applying logistic regression, neural networks and genetic algorithms models [Internet]. International Journal of Advanced Engineering Research and Science. 2021 ; 8( 9): 198-209.[citado 2025 nov. 12 ] Available from: https://doi.org/10.22161/ijaers.89.20
Vancouver
Gonçalves EB, Gouvêa MA. Credit risk analysis applying logistic regression, neural networks and genetic algorithms models [Internet]. International Journal of Advanced Engineering Research and Science. 2021 ; 8( 9): 198-209.[citado 2025 nov. 12 ] Available from: https://doi.org/10.22161/ijaers.89.20
Artigo de periodico
Industry 4.0 Machine Learning to Monitor the Life Span of Cutting Tools in an Automotive Production Line (2021)
Carvalho, Cleginaldo Pereira de ; Bittencourt, Priscila M.
Fonte: International Journal of Advanced Engineering Research and Science. Unidade: EEL
Assunto: INDÚSTRIA 4.0
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Cleginaldo Pereira de e BITTENCOURT, Priscila M. Industry 4.0 Machine Learning to Monitor the Life Span of Cutting Tools in an Automotive Production Line. International Journal of Advanced Engineering Research and Science, v. 8, n. 5, p. 220-228, 2021Tradução . . Disponível em: https://doi.org/10.22161/ijaers.85.25. Acesso em: 12 nov. 2025.
APA
Carvalho, C. P. de, & Bittencourt, P. M. (2021). Industry 4.0 Machine Learning to Monitor the Life Span of Cutting Tools in an Automotive Production Line. International Journal of Advanced Engineering Research and Science, 8( 5), 220-228. doi:10.22161/ijaers.85.25
NLM
Carvalho CP de, Bittencourt PM. Industry 4.0 Machine Learning to Monitor the Life Span of Cutting Tools in an Automotive Production Line [Internet]. International Journal of Advanced Engineering Research and Science. 2021 ;8( 5): 220-228.[citado 2025 nov. 12 ] Available from: https://doi.org/10.22161/ijaers.85.25
Vancouver
Carvalho CP de, Bittencourt PM. Industry 4.0 Machine Learning to Monitor the Life Span of Cutting Tools in an Automotive Production Line [Internet]. International Journal of Advanced Engineering Research and Science. 2021 ;8( 5): 220-228.[citado 2025 nov. 12 ] Available from: https://doi.org/10.22161/ijaers.85.25

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