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Artigo de periodico
A network classification method based on density time evolution patterns extracted from network automata (2024)
Zielinski, Kallil Miguel Caparroz; Ribas, Lucas Correia ; Machicao, Jeaneth ; Bruno, Odemir Martinez
Fonte: Pattern Recognition. Unidades: IFSC, EP
Assuntos: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA
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ABNT
ZIELINSKI, Kallil Miguel Caparroz et al. A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, v. 146, p. 109802-1-109802-13 + supplementary materials, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109946. Acesso em: 12 jul. 2024.
APA
Zielinski, K. M. C., Ribas, L. C., Machicao, J., & Bruno, O. M. (2024). A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, 146, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109946
NLM
Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
Vancouver
Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
Artigo de periodico
Wearable potentiometric biosensor for analysis of urea in sweat (2023)
Ibáñez-Redín, Glenda Gisela ; Cagnani, Giovana Rosso; Gomes, Nathalia Oezau ; Raymundo-Pereira, Paulo Augusto ; Machado, Sergio Antonio Spinola ; Gutierrez, Marco Antonio ; Krieger, Jose Eduardo ; Oliveira Junior, Osvaldo Novais de
Fonte: Biosensors and Bioelectronics. Unidades: IQSC, EP, FM, IFSC
Assuntos: UREIA, SUOR, ELETROQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
IBÁÑEZ-REDÍN, Glenda Gisela et al. Wearable potentiometric biosensor for analysis of urea in sweat. Biosensors and Bioelectronics, v. 223, p. 114994-1-114994-8, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.bios.2022.114994. Acesso em: 12 jul. 2024.
APA
Ibáñez-Redín, G. G., Cagnani, G. R., Gomes, N. O., Raymundo-Pereira, P. A., Machado, S. A. S., Gutierrez, M. A., et al. (2023). Wearable potentiometric biosensor for analysis of urea in sweat. Biosensors and Bioelectronics, 223, 114994-1-114994-8. doi:10.1016/j.bios.2022.114994
NLM
Ibáñez-Redín GG, Cagnani GR, Gomes NO, Raymundo-Pereira PA, Machado SAS, Gutierrez MA, Krieger JE, Oliveira Junior ON de. Wearable potentiometric biosensor for analysis of urea in sweat [Internet]. Biosensors and Bioelectronics. 2023 ; 223 114994-1-114994-8.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1016/j.bios.2022.114994
Vancouver
Ibáñez-Redín GG, Cagnani GR, Gomes NO, Raymundo-Pereira PA, Machado SAS, Gutierrez MA, Krieger JE, Oliveira Junior ON de. Wearable potentiometric biosensor for analysis of urea in sweat [Internet]. Biosensors and Bioelectronics. 2023 ; 223 114994-1-114994-8.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1016/j.bios.2022.114994
Artigo de periodico
Cu-modified SrTiO3 perovskites toward enhanced water-gas shift catalysis: a combined experimental and computational study (2021)
Coletta, Vitor Carlos; Gonçalves, Renato Vitalino ; Bernardi, Maria Inês Basso ; Hanaor, Dorian A. H.; Assadi , M. Hussein N.; Marcos, Francielle Candian Firmino ; Nogueira, Francisco G. E; Assaf, Elisabete Moreira ; Mastelaro, Valmor Roberto
Fonte: ACS Applied Energy Materials. Unidades: IFSC, IQSC, EP
Assuntos: ÁGUA, DIFRAÇÃO POR RAIOS X, ESPECTROSCOPIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLETTA, Vitor Carlos et al. Cu-modified SrTiO3 perovskites toward enhanced water-gas shift catalysis: a combined experimental and computational study. ACS Applied Energy Materials, v. 4, n. Ja 2021, p. 452-461, 2021Tradução . . Disponível em: https://doi.org/10.1021/acsaem.0c02371. Acesso em: 12 jul. 2024.
APA
Coletta, V. C., Gonçalves, R. V., Bernardi, M. I. B., Hanaor, D. A. H., Assadi , M. H. N., Marcos, F. C. F., et al. (2021). Cu-modified SrTiO3 perovskites toward enhanced water-gas shift catalysis: a combined experimental and computational study. ACS Applied Energy Materials, 4( Ja 2021), 452-461. doi:10.1021/acsaem.0c02371
NLM
Coletta VC, Gonçalves RV, Bernardi MIB, Hanaor DAH, Assadi MHN, Marcos FCF, Nogueira FGE, Assaf EM, Mastelaro VR. Cu-modified SrTiO3 perovskites toward enhanced water-gas shift catalysis: a combined experimental and computational study [Internet]. ACS Applied Energy Materials. 2021 ; 4( Ja 2021): 452-461.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1021/acsaem.0c02371
Vancouver
Coletta VC, Gonçalves RV, Bernardi MIB, Hanaor DAH, Assadi MHN, Marcos FCF, Nogueira FGE, Assaf EM, Mastelaro VR. Cu-modified SrTiO3 perovskites toward enhanced water-gas shift catalysis: a combined experimental and computational study [Internet]. ACS Applied Energy Materials. 2021 ; 4( Ja 2021): 452-461.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1021/acsaem.0c02371

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