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Artigo de periodico
Evidence of unconventional superconductivity in the Ni-doped NbB2 system (2019)
Renosto, Sergio Tuan; Lang, Rafael; Diez, E.; Correa, Lucas Eduardo; Luz, Mário Sérgio da; Fisk, Z; Machado, Antonio Jefferson da Silva
Source: Journal of alloys and compounds. Unidade: EEL
Assunto: SUPERCONDUTIVIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RENOSTO, Sergio Tuan et al. Evidence of unconventional superconductivity in the Ni-doped NbB2 system. Journal of alloys and compounds, v. 787, p. 414-422, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jallcom.2019.02.072. Acesso em: 29 set. 2024.
APA
Renosto, S. T., Lang, R., Diez, E., Correa, L. E., Luz, M. S. da, Fisk, Z., & Machado, A. J. da S. (2019). Evidence of unconventional superconductivity in the Ni-doped NbB2 system. Journal of alloys and compounds, 787, 414-422. doi:10.1016/j.jallcom.2019.02.072
NLM
Renosto ST, Lang R, Diez E, Correa LE, Luz MS da, Fisk Z, Machado AJ da S. Evidence of unconventional superconductivity in the Ni-doped NbB2 system [Internet]. Journal of alloys and compounds. 2019 ;787 414-422.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.jallcom.2019.02.072
Vancouver
Renosto ST, Lang R, Diez E, Correa LE, Luz MS da, Fisk Z, Machado AJ da S. Evidence of unconventional superconductivity in the Ni-doped NbB2 system [Internet]. Journal of alloys and compounds. 2019 ;787 414-422.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.jallcom.2019.02.072
Artigo de periodico
Cloud-empowered, self-managing wireless sensor networks: interconnecting management operations at the application layer (2019)
Dias, Gabriel Martins ; Margi, Cíntia Borges ; Oliveira, Filipe Calasans Portugal de ; Bellalta, Boris
Source: IEEE Consumer Electronics Magazine. Unidade: EP
Subjects: COMPUTAÇÃO EM NUVEM, TRANSMISSÃO DE ENERGIA ELÉTRICA POR CORRENTE ALTERNADA, WIRELESS, ANÁLISE DE DADOS, ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIAS, Gabriel Martins et al. Cloud-empowered, self-managing wireless sensor networks: interconnecting management operations at the application layer. IEEE Consumer Electronics Magazine, v. 8, n. 1, p. 55-60, 2019Tradução . . Disponível em: https://doi.org/10.1109/MCE.2018.2868110. Acesso em: 29 set. 2024.
APA
Dias, G. M., Margi, C. B., Oliveira, F. C. P. de, & Bellalta, B. (2019). Cloud-empowered, self-managing wireless sensor networks: interconnecting management operations at the application layer. IEEE Consumer Electronics Magazine, 8( 1), 55-60. doi:10.1109/MCE.2018.2868110
NLM
Dias GM, Margi CB, Oliveira FCP de, Bellalta B. Cloud-empowered, self-managing wireless sensor networks: interconnecting management operations at the application layer [Internet]. IEEE Consumer Electronics Magazine. 2019 ; 8( 1): 55-60.[citado 2024 set. 29 ] Available from: https://doi.org/10.1109/MCE.2018.2868110
Vancouver
Dias GM, Margi CB, Oliveira FCP de, Bellalta B. Cloud-empowered, self-managing wireless sensor networks: interconnecting management operations at the application layer [Internet]. IEEE Consumer Electronics Magazine. 2019 ; 8( 1): 55-60.[citado 2024 set. 29 ] Available from: https://doi.org/10.1109/MCE.2018.2868110
Artigo de periodico
Deep learning techniques applied to the physics of extensive air showers (2019)
GUILLÉN, A.; Bueno, A; Carceller, J.M.; Velazquez, J.C. Matinez; Rubio, G.; Peixoto, Carlos Jose Todero ; Sanchez-Lucas, Patricia
Source: Astroparticle physics. Unidade: EEL
Subjects: REDES NEURAIS, RAIOS CÓSMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUILLÉN, A. et al. Deep learning techniques applied to the physics of extensive air showers. Astroparticle physics, v. 111, p. 12-22, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.astropartphys.2019.03.001. Acesso em: 29 set. 2024.
APA
GUILLÉN, A., Bueno, A., Carceller, J. M., Velazquez, J. C. M., Rubio, G., Peixoto, C. J. T., & Sanchez-Lucas, P. (2019). Deep learning techniques applied to the physics of extensive air showers. Astroparticle physics, 111, 12-22. doi:10.1016/j.astropartphys.2019.03.001
NLM
GUILLÉN A, Bueno A, Carceller JM, Velazquez JCM, Rubio G, Peixoto CJT, Sanchez-Lucas P. Deep learning techniques applied to the physics of extensive air showers [Internet]. Astroparticle physics. 2019 ; 111 12-22.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.astropartphys.2019.03.001
Vancouver
GUILLÉN A, Bueno A, Carceller JM, Velazquez JCM, Rubio G, Peixoto CJT, Sanchez-Lucas P. Deep learning techniques applied to the physics of extensive air showers [Internet]. Astroparticle physics. 2019 ; 111 12-22.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.astropartphys.2019.03.001
Artigo de periodico
Fungal Planet description sheets: 951-1041 (2019)
Crous, P. W; Wingfield, M. J; Lombard, L; Boufleur, Thaís Regina ; Castro, Renata Rebellato Linhares de ; Massola Júnior, Nelson Sidnei
Source: Persoonia. Unidade: ESALQ
Assunto: FUNGOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CROUS, P. W et al. Fungal Planet description sheets: 951-1041. Persoonia, v. 43, p. 223-425, 2019Tradução . . Disponível em: https://doi.org/10.3767/persoonia.2019.43.06. Acesso em: 29 set. 2024.
APA
Crous, P. W., Wingfield, M. J., Lombard, L., Boufleur, T. R., Castro, R. R. L. de, & Massola Júnior, N. S. (2019). Fungal Planet description sheets: 951-1041. Persoonia, 43, 223-425. doi:10.3767/persoonia.2019.43.06
NLM
Crous PW, Wingfield MJ, Lombard L, Boufleur TR, Castro RRL de, Massola Júnior NS. Fungal Planet description sheets: 951-1041 [Internet]. Persoonia. 2019 ; 43 223-425.[citado 2024 set. 29 ] Available from: https://doi.org/10.3767/persoonia.2019.43.06
Vancouver
Crous PW, Wingfield MJ, Lombard L, Boufleur TR, Castro RRL de, Massola Júnior NS. Fungal Planet description sheets: 951-1041 [Internet]. Persoonia. 2019 ; 43 223-425.[citado 2024 set. 29 ] Available from: https://doi.org/10.3767/persoonia.2019.43.06

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