Ferroelectret-based hydrophone employed in oil identification - a machine learning approach (2020)
Luna, Daniel R. de; Palitó, T. T. C.; Assagra, Y. A. O.; Altafim, R. A. P.; Carmo, J. P.; Altafim, R. A. C.; Carneiro, Antonio Adilton Oliveira 
; Sousa Junior, Vicente A. de
Source: Sensors. Unidade: FFCLRP
Subjects: TRANSFORMADORES E REATORES, ENERGIA ELÉTRICA, ÓLEOS LUBRIFICANTES, ACÚSTICA, ÁGUA
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LUNA, Daniel R. de et al. Ferroelectret-based hydrophone employed in oil identification - a machine learning approach. Sensors, v. 20, n. 10, p. 1-18, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20102979. Acesso em: 09 nov. 2024.APA
Luna, D. R. de, Palitó, T. T. C., Assagra, Y. A. O., Altafim, R. A. P., Carmo, J. P., Altafim, R. A. C., et al. (2020). Ferroelectret-based hydrophone employed in oil identification - a machine learning approach. Sensors, 20( 10), 1-18. doi:10.3390/s20102979NLM
Luna DR de, Palitó TTC, Assagra YAO, Altafim RAP, Carmo JP, Altafim RAC, Carneiro AAO, Sousa Junior VA de. Ferroelectret-based hydrophone employed in oil identification - a machine learning approach [Internet]. Sensors. 2020 ; 20( 10): 1-18.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/s20102979Vancouver
Luna DR de, Palitó TTC, Assagra YAO, Altafim RAP, Carmo JP, Altafim RAC, Carneiro AAO, Sousa Junior VA de. Ferroelectret-based hydrophone employed in oil identification - a machine learning approach [Internet]. Sensors. 2020 ; 20( 10): 1-18.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/s20102979
