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Artigo de periodico
Development length of fluids modelled by the gPTT constitutive differential equation (2021)
Bertoco, Juliana ; Leiva, Rosalia Taboada ; Ferrás, Luís L ; Afonso, Alexandre Miguel Prior ; Castelo, Antonio
Source: Applied Sciences. Unidade: ICMC
Subjects: FLUXO DOS FLUÍDOS, DIFERENÇAS FINITAS, ELASTICIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTOCO, Juliana et al. Development length of fluids modelled by the gPTT constitutive differential equation. Applied Sciences, v. 11, n. 21, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.3390/app112110352. Acesso em: 16 jul. 2024.
APA
Bertoco, J., Leiva, R. T., Ferrás, L. L., Afonso, A. M. P., & Castelo, A. (2021). Development length of fluids modelled by the gPTT constitutive differential equation. Applied Sciences, 11( 21), 1-17. doi:10.3390/app112110352
NLM
Bertoco J, Leiva RT, Ferrás LL, Afonso AMP, Castelo A. Development length of fluids modelled by the gPTT constitutive differential equation [Internet]. Applied Sciences. 2021 ; 11( 21): 1-17.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/app112110352
Vancouver
Bertoco J, Leiva RT, Ferrás LL, Afonso AMP, Castelo A. Development length of fluids modelled by the gPTT constitutive differential equation [Internet]. Applied Sciences. 2021 ; 11( 21): 1-17.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/app112110352
Artigo de periodico
Memory-based pruning of deep neural networks for IoT devices applied to flood detection (2021)
Fernandes Junior, Francisco Erivaldo ; Nonato, Luis Gustavo ; Ranieri, Caetano Mazzoni ; Ueyama, Jó
Source: Sensors. Unidade: ICMC
Subjects: ENCHENTES URBANAS, REDES NEURAIS, INTERNET DAS COISAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES JUNIOR, Francisco Erivaldo et al. Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, v. 21, n. 22, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21227506. Acesso em: 16 jul. 2024.
APA
Fernandes Junior, F. E., Nonato, L. G., Ranieri, C. M., & Ueyama, J. (2021). Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, 21( 22), 1-18. doi:10.3390/s21227506
NLM
Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/s21227506
Vancouver
Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/s21227506
Artigo de periodico
Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of concepts (2021)
Zaghir, Jamil ; Rodrigues Junior, José Fernando ; Goeuriot, Lorraine ; Amer-Yahia, Sihem
Source: Journal of Healthcare Informatics Research. Unidade: ICMC
Subjects: REDES NEURAIS, TECNOLOGIAS DA SAÚDE, PROGNÓSTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZAGHIR, Jamil et al. Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of concepts. Journal of Healthcare Informatics Research, v. 5, n. 4, p. 474-496, 2021Tradução . . Disponível em: https://doi.org/10.1007/s41666-021-00100-z. Acesso em: 16 jul. 2024.
APA
Zaghir, J., Rodrigues Junior, J. F., Goeuriot, L., & Amer-Yahia, S. (2021). Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of concepts. Journal of Healthcare Informatics Research, 5( 4), 474-496. doi:10.1007/s41666-021-00100-z
NLM
Zaghir J, Rodrigues Junior JF, Goeuriot L, Amer-Yahia S. Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of concepts [Internet]. Journal of Healthcare Informatics Research. 2021 ; 5( 4): 474-496.[citado 2024 jul. 16 ] Available from: https://doi.org/10.1007/s41666-021-00100-z
Vancouver
Zaghir J, Rodrigues Junior JF, Goeuriot L, Amer-Yahia S. Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of concepts [Internet]. Journal of Healthcare Informatics Research. 2021 ; 5( 4): 474-496.[citado 2024 jul. 16 ] Available from: https://doi.org/10.1007/s41666-021-00100-z
Artigo de periodico
Different formulations to solve the Giesekus model for flow between two parallel plates (2021)
Furlan, Laison Junio da Silva ; Araujo, Matheus Tozo de ; Brandi, Analice Costacurta ; Cruz, Daniel Onofre de Almeida; Souza, Leandro Franco de
Source: Applied Sciences. Unidade: ICMC
Subjects: FLUXO DOS FLUÍDOS, VISCOSIDADE DO FLUXO DOS FLUÍDOS, DINÂMICA DOS FLUÍDOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FURLAN, Laison Junio da Silva et al. Different formulations to solve the Giesekus model for flow between two parallel plates. Applied Sciences, v. 11, n. 21, p. 1-23, 2021Tradução . . Disponível em: https://doi.org/10.3390/app112110115. Acesso em: 16 jul. 2024.
APA
Furlan, L. J. da S., Araujo, M. T. de, Brandi, A. C., Cruz, D. O. de A., & Souza, L. F. de. (2021). Different formulations to solve the Giesekus model for flow between two parallel plates. Applied Sciences, 11( 21), 1-23. doi:10.3390/app112110115
NLM
Furlan LJ da S, Araujo MT de, Brandi AC, Cruz DO de A, Souza LF de. Different formulations to solve the Giesekus model for flow between two parallel plates [Internet]. Applied Sciences. 2021 ; 11( 21): 1-23.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/app112110115
Vancouver
Furlan LJ da S, Araujo MT de, Brandi AC, Cruz DO de A, Souza LF de. Different formulations to solve the Giesekus model for flow between two parallel plates [Internet]. Applied Sciences. 2021 ; 11( 21): 1-23.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/app112110115
Artigo de periodico
Sudden unexpected death associated with arrhythmogenic cardiomyopathy: study of the cardiac conduction system (2021)
Ottaviani, Giulia; Alfonsi, Graziella; Ramos, Simone Gusmão; Buja, L. Maximilian
Source: Diagnostics. Unidade: FMRP
Subjects: MIOCARDIOPATIAS, VENTRÍCULO CARDÍACO, AUTÓPSIA, SISTEMA DE CONDUÇÃO CARDÍACA, MORTE SÚBITA CARDÍACA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OTTAVIANI, Giulia et al. Sudden unexpected death associated with arrhythmogenic cardiomyopathy: study of the cardiac conduction system. Diagnostics, v. 11, n. 8, p. 1-23, 2021Tradução . . Disponível em: https://doi.org/10.3390/diagnostics11081323. Acesso em: 16 jul. 2024.
APA
Ottaviani, G., Alfonsi, G., Ramos, S. G., & Buja, L. M. (2021). Sudden unexpected death associated with arrhythmogenic cardiomyopathy: study of the cardiac conduction system. Diagnostics, 11( 8), 1-23. doi:10.3390/diagnostics11081323
NLM
Ottaviani G, Alfonsi G, Ramos SG, Buja LM. Sudden unexpected death associated with arrhythmogenic cardiomyopathy: study of the cardiac conduction system [Internet]. Diagnostics. 2021 ; 11( 8): 1-23.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/diagnostics11081323
Vancouver
Ottaviani G, Alfonsi G, Ramos SG, Buja LM. Sudden unexpected death associated with arrhythmogenic cardiomyopathy: study of the cardiac conduction system [Internet]. Diagnostics. 2021 ; 11( 8): 1-23.[citado 2024 jul. 16 ] Available from: https://doi.org/10.3390/diagnostics11081323

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