Ferroelectret-based hydrophone employed in oil identification: a machine learning approach (2020)
Source: Sensors. Unidade: EESC
Subjects: ACÚSTICA, FERROELETRICIDADE, ENGENHARIA ELÉTRICA
ABNT
LUNA, Daniel R. de; PALITÓ, Thamyres Tâmulla Cavalcante; ASSAGRA, Yuri Andrey Olivato; et al. Ferroelectret-based hydrophone employed in oil identification: a machine learning approach. Sensors, Basel, Switzerland, MDPI, v. 20, n. 10, p. 1-18, 2020. Disponível em: < http://dx.doi.org/10.3390/s20102979 > DOI: 10.3390/s20102979.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.Available from: http://dx.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.Available from: http://dx.doi.org/10.3390/s20102979