Ferroelectret-based hydrophone employed in oil identification: a machine learning approach (2020)
Luna, Daniel R. de; Palitó, Thamyres Tâmulla Cavalcante; Assagra, Yuri Andrey Olivato; Altafim, Ruy Alberto Pisani; Carmo, João Paulo Pereira do 
; Altafim, Ruy Alberto Corrêa ; Carneiro, Adilton; Sousa Junior, Vicente Angelo de
Assuntos: ACÚSTICA, FERROELETRICIDADE, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 19 nov. 2025.APA
Luna, D. R. de, Palitó, T. T. C., Assagra, Y. A. O., Altafim, R. A. P., Carmo, J. P. P. do, 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 JPP do, Altafim RAC, Carneiro A, Sousa Junior VA de. Ferroelectret-based hydrophone employed in oil identification: a machine learning approach [Internet]. Sensors. 2020 ; 20( 10): 1-18.[citado 2025 nov. 19 ] Available from: https://doi.org/10.3390/s20102979Vancouver
Luna DR de, Palitó TTC, Assagra YAO, Altafim RAP, Carmo JPP do, Altafim RAC, Carneiro A, Sousa Junior VA de. Ferroelectret-based hydrophone employed in oil identification: a machine learning approach [Internet]. Sensors. 2020 ; 20( 10): 1-18.[citado 2025 nov. 19 ] Available from: https://doi.org/10.3390/s20102979
