Artificial neural networks and signal clipping for PROFIBUS DP diagnostics (2014)
- Authors:
- Autor USP: BRANDÃO, DENNIS - EESC
- Unidade: EESC
- Subjects: REDES NEURAIS; PROTOCOLOS DE COMUNICAÇÃO
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2014
- ISBN: 9781479949069
- Conference titles: International Conference on Industrial Informatics - INDIN
-
ABNT
SESTITO, Guilherme Serpa et al. Artificial neural networks and signal clipping for PROFIBUS DP diagnostics. 2014, Anais.. Piscataway: IEEE, 2014. . Acesso em: 16 abr. 2024. -
APA
Sestito, G. S., Mossin, E. A., Dias, A. L., Souza, P. H. T. de O. e, & Brandão, D. (2014). Artificial neural networks and signal clipping for PROFIBUS DP diagnostics. In . Piscataway: IEEE. -
NLM
Sestito GS, Mossin EA, Dias AL, Souza PHT de O e, Brandão D. Artificial neural networks and signal clipping for PROFIBUS DP diagnostics. 2014 ;[citado 2024 abr. 16 ] -
Vancouver
Sestito GS, Mossin EA, Dias AL, Souza PHT de O e, Brandão D. Artificial neural networks and signal clipping for PROFIBUS DP diagnostics. 2014 ;[citado 2024 abr. 16 ] - Ferramenta de simulação para projeto, avaliação e ensino de redes fieldbus
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- Evaluation of routing strategies for wireless sensor networks using realistic simulation conditions
- Flexible wireless sensor network for smart lighting applications
- Student's evaluation based on fuzzy sets theory
- Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application
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