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Artigo de periodico
Machine-learning classification of environmental conditions inside a tank by analyzing radar curves in industrial level measurements (2021)
Borg, Denis; Sestito, Guilherme Serpa ; Silva, Maíra Martins da
Source: Flow Measurement and Instrumentation. Unidade: EESC
Subjects: APRENDIZADO COMPUTACIONAL, RADAR, TURBULÊNCIA, ENGENHARIA MECÂNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BORG, Denis e SESTITO, Guilherme Serpa e SILVA, Maíra Martins da. Machine-learning classification of environmental conditions inside a tank by analyzing radar curves in industrial level measurements. Flow Measurement and Instrumentation, v. 79, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.flowmeasinst.2021.101940. Acesso em: 07 nov. 2024.
APA
Borg, D., Sestito, G. S., & Silva, M. M. da. (2021). Machine-learning classification of environmental conditions inside a tank by analyzing radar curves in industrial level measurements. Flow Measurement and Instrumentation, 79, 1-9. doi:10.1016/j.flowmeasinst.2021.101940
NLM
Borg D, Sestito GS, Silva MM da. Machine-learning classification of environmental conditions inside a tank by analyzing radar curves in industrial level measurements [Internet]. Flow Measurement and Instrumentation. 2021 ; 79 1-9.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1016/j.flowmeasinst.2021.101940
Vancouver
Borg D, Sestito GS, Silva MM da. Machine-learning classification of environmental conditions inside a tank by analyzing radar curves in industrial level measurements [Internet]. Flow Measurement and Instrumentation. 2021 ; 79 1-9.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1016/j.flowmeasinst.2021.101940
Trabalho de evento
Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application (2016)
Borg, Denis; Pinto, Felipe Franqueira; Suetake, Marcelo; Brandão, Dennis
Conference titles: Symposium on Telematics Application - IFAC. Unidade: EESC
Subjects: RADAR, REDES NEURAIS, AUTOMAÇÃO INDUSTRIAL, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BORG, Denis et al. Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application. 2016, Anais.. Laxenburg, Austria: IFAC, 2016. Disponível em: https://doi.org/10.1016/j.ifacol.2016.11.160. Acesso em: 07 nov. 2024.
APA
Borg, D., Pinto, F. F., Suetake, M., & Brandão, D. (2016). Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application. In . Laxenburg, Austria: IFAC. doi:10.1016/j.ifacol.2016.11.160
NLM
Borg D, Pinto FF, Suetake M, Brandão D. Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application [Internet]. 2016 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1016/j.ifacol.2016.11.160
Vancouver
Borg D, Pinto FF, Suetake M, Brandão D. Neural networks as a diagnosing tool for industrial level measurement through non-contacting radar type and support to the decision for its better application [Internet]. 2016 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1016/j.ifacol.2016.11.160
Artigo de periodico
A neural network developed in a foundation fieldbus environment to calculate flow rates for compressible fluid (2014)
Borg, Denis; Suetake, Marcelo; Brandão, Dennis
Source: Flow Measurement and Instrumentation. Unidade: EESC
Subjects: REDES NEURAIS, PROTOCOLOS DE COMUNICAÇÃO, COMPUTADORES DIGITAIS (FLUXO)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BORG, Denis e SUETAKE, Marcelo e BRANDÃO, Dennis. A neural network developed in a foundation fieldbus environment to calculate flow rates for compressible fluid. Flow Measurement and Instrumentation, v. 40, p. 142-148, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.flowmeasinst.2014.09.007. Acesso em: 07 nov. 2024.
APA
Borg, D., Suetake, M., & Brandão, D. (2014). A neural network developed in a foundation fieldbus environment to calculate flow rates for compressible fluid. Flow Measurement and Instrumentation, 40, 142-148. doi:10.1016/j.flowmeasinst.2014.09.007
NLM
Borg D, Suetake M, Brandão D. A neural network developed in a foundation fieldbus environment to calculate flow rates for compressible fluid [Internet]. Flow Measurement and Instrumentation. 2014 ; 40 142-148.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1016/j.flowmeasinst.2014.09.007
Vancouver
Borg D, Suetake M, Brandão D. A neural network developed in a foundation fieldbus environment to calculate flow rates for compressible fluid [Internet]. Flow Measurement and Instrumentation. 2014 ; 40 142-148.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1016/j.flowmeasinst.2014.09.007

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