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Filtros : "Conference on Graphics, Patterns and Images - SIBGRAPI" "Ribeiro, Leo Sampaio Ferraz" Limpar

Filtros

USP affiliated authors
- branco, kalinka regina lucas jaquie castelo (~1)
- cavallari, gabriel biscaro (~1)
- ponti, moacir antonelli (~1)
- ribeiro, leonardo sampaio ferraz (~1)
- santos, fernando pereira dos (~1)
Date published
- 2023 (~1)
- 2021 (~1)
Subjects
- redes neurais (2)
- aprendizado computacional (1)
- aprendizagem profunda (1)
- manutenção preditiva (1)
- reconhecimento de imagem (1)

Trabalho de evento
Bearing failure prognostics using recurrent neural networks: a spectral data based architecture (2023)
Cosin, Renato ; Ribeiro, Leo Sampaio Ferraz ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, ROLAMENTOS, MANUTENÇÃO PREDITIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSIN, Renato e RIBEIRO, Leo Sampaio Ferraz e BRANCO, Kalinka Regina Lucas Jaquie Castelo. Bearing failure prognostics using recurrent neural networks: a spectral data based architecture. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/SIBGRAPI59091.2023.10347179. Acesso em: 08 nov. 2025.
APA
Cosin, R., Ribeiro, L. S. F., & Branco, K. R. L. J. C. (2023). Bearing failure prognostics using recurrent neural networks: a spectral data based architecture. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI59091.2023.10347179
NLM
Cosin R, Ribeiro LSF, Branco KRLJC. Bearing failure prognostics using recurrent neural networks: a spectral data based architecture [Internet]. Proceedings. 2023 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347179
Vancouver
Cosin R, Ribeiro LSF, Branco KRLJC. Bearing failure prognostics using recurrent neural networks: a spectral data based architecture [Internet]. Proceedings. 2023 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347179
Trabalho de evento
Training deep networks from zero to hero: avoiding pitfalls and going beyond (2021)
Ponti, Moacir Antonelli ; Santos, Fernando Pereira dos ; Ribeiro, Leo Sampaio Ferraz ; Cavallari, Gabriel Biscaro
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PONTI, Moacir Antonelli et al. Training deep networks from zero to hero: avoiding pitfalls and going beyond. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00011. Acesso em: 08 nov. 2025.
APA
Ponti, M. A., Santos, F. P. dos, Ribeiro, L. S. F., & Cavallari, G. B. (2021). Training deep networks from zero to hero: avoiding pitfalls and going beyond. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI54419.2021.00011
NLM
Ponti MA, Santos FP dos, Ribeiro LSF, Cavallari GB. Training deep networks from zero to hero: avoiding pitfalls and going beyond [Internet]. Proceedings. 2021 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00011
Vancouver
Ponti MA, Santos FP dos, Ribeiro LSF, Cavallari GB. Training deep networks from zero to hero: avoiding pitfalls and going beyond [Internet]. Proceedings. 2021 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00011

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