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Artigo de periodico
Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition (2022)
Escottá, Álvaro Teixeira; Beccaro, Wesley; Arjona Ramírez, Miguel
Fonte: Sensors. Unidade: EP
Assuntos: REDES NEURAIS, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZAGEM PROFUNDA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESCOTTÁ, Álvaro Teixeira e BECCARO, Wesley e ARJONA RAMÍREZ, Miguel. Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition. Sensors, v. 22, n. 11, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22114226. Acesso em: 09 nov. 2025.
APA
Escottá, Á. T., Beccaro, W., & Arjona Ramírez, M. (2022). Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition. Sensors, 22( 11). doi:10.3390/s22114226
NLM
Escottá ÁT, Beccaro W, Arjona Ramírez M. Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition [Internet]. Sensors. 2022 ; 22( 11):[citado 2025 nov. 09 ] Available from: https://doi.org/10.3390/s22114226
Vancouver
Escottá ÁT, Beccaro W, Arjona Ramírez M. Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition [Internet]. Sensors. 2022 ; 22( 11):[citado 2025 nov. 09 ] Available from: https://doi.org/10.3390/s22114226
Trabalho de evento-resumo
Linking metamorphic and metasomatic process to constrain the T-T-X history of Neoarchean IOCG deposits from the Northern Carajás Province (Brazil) (2022)
Toledo, Poliana ; Moreto, Carolina ; Meira, Vinícius Tieppo ; Garcia-Casco, Antonio ; Monteiro, Lena Virgínia Soares
Fonte: Anais. Nome do evento: Simpósio de Quantificação em Geociências. Unidade: IGC
Assuntos: DEPÓSITOS MINERAIS, METASSOMATISMO, METAMORFISMO, GEOQUÍMICA ISOTÓPICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOLEDO, Poliana et al. Linking metamorphic and metasomatic process to constrain the T-T-X history of Neoarchean IOCG deposits from the Northern Carajás Province (Brazil). 2022, Anais.. Campinas: UNICAMP, 2022. p. 86. Disponível em: http://www.sbgeo.org.br/assets/admin/imgCk/files/Anais%de%Resumos_9%Simp*C3*B3sio%de%Quantifica*C3*A7*C3*A3o%em%Geoci*C3*AAncias-1(1).pdf. Acesso em: 09 nov. 2025.
APA
Toledo, P., Moreto, C., Meira, V. T., Garcia-Casco, A., & Monteiro, L. V. S. (2022). Linking metamorphic and metasomatic process to constrain the T-T-X history of Neoarchean IOCG deposits from the Northern Carajás Province (Brazil). In Anais (p. 86). Campinas: UNICAMP. Recuperado de http://www.sbgeo.org.br/assets/admin/imgCk/files/Anais%de%Resumos_9%Simp*C3*B3sio%de%Quantifica*C3*A7*C3*A3o%em%Geoci*C3*AAncias-1(1).pdf
NLM
Toledo P, Moreto C, Meira VT, Garcia-Casco A, Monteiro LVS. Linking metamorphic and metasomatic process to constrain the T-T-X history of Neoarchean IOCG deposits from the Northern Carajás Province (Brazil) [Internet]. Anais. 2022 ; 86.[citado 2025 nov. 09 ] Available from: http://www.sbgeo.org.br/assets/admin/imgCk/files/Anais%de%Resumos_9%Simp*C3*B3sio%de%Quantifica*C3*A7*C3*A3o%em%Geoci*C3*AAncias-1(1).pdf
Vancouver
Toledo P, Moreto C, Meira VT, Garcia-Casco A, Monteiro LVS. Linking metamorphic and metasomatic process to constrain the T-T-X history of Neoarchean IOCG deposits from the Northern Carajás Province (Brazil) [Internet]. Anais. 2022 ; 86.[citado 2025 nov. 09 ] Available from: http://www.sbgeo.org.br/assets/admin/imgCk/files/Anais%de%Resumos_9%Simp*C3*B3sio%de%Quantifica*C3*A7*C3*A3o%em%Geoci*C3*AAncias-1(1).pdf
Artigo de periodico
Safety assurance of artificial intelligence-based systems: a systematic literature review on the state of the art and guidelines for future work (2022)
Silva Neto, Antonio Vieira da ; Camargo Júnior, João Batista ; Almeida Junior, Jorge Rady de ; Cugnasca, Paulo Sérgio
Fonte: IEEE Access. Unidade: EP
Assuntos: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ANÁLISE DE RISCO NO DESENVOLVIMENTO DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA NETO, Antonio Vieira da et al. Safety assurance of artificial intelligence-based systems: a systematic literature review on the state of the art and guidelines for future work. IEEE Access, v. 10, p. 130733-130770, 2022Tradução . . Disponível em: http://dx.doi.org/10.1109/ACCESS.2022.3229233. Acesso em: 09 nov. 2025.
APA
Silva Neto, A. V. da, Camargo Júnior, J. B., Almeida Junior, J. R. de, & Cugnasca, P. S. (2022). Safety assurance of artificial intelligence-based systems: a systematic literature review on the state of the art and guidelines for future work. IEEE Access, 10, 130733-130770. doi:10.1109/ACCESS.2022.3229233
NLM
Silva Neto AV da, Camargo Júnior JB, Almeida Junior JR de, Cugnasca PS. Safety assurance of artificial intelligence-based systems: a systematic literature review on the state of the art and guidelines for future work [Internet]. IEEE Access. 2022 ;10 130733-130770.[citado 2025 nov. 09 ] Available from: http://dx.doi.org/10.1109/ACCESS.2022.3229233
Vancouver
Silva Neto AV da, Camargo Júnior JB, Almeida Junior JR de, Cugnasca PS. Safety assurance of artificial intelligence-based systems: a systematic literature review on the state of the art and guidelines for future work [Internet]. IEEE Access. 2022 ;10 130733-130770.[citado 2025 nov. 09 ] Available from: http://dx.doi.org/10.1109/ACCESS.2022.3229233

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