Ferroelectret-based hydrophone employed in oil identification: a machine learning approach (2020)
- Authors:
- USP affiliated authors: CARMO, JOÃO PAULO PEREIRA DO - EESC ; ALTAFIM, RUY ALBERTO CORRÊA - EESC
- Unidade: EESC
- DOI: 10.3390/s20102979
- Subjects: ACÚSTICA; FERROELETRICIDADE; ENGENHARIA ELÉTRICA
- Language: Inglês
- Imprenta:
- Publisher place: Basel, Switzerland
- Date published: 2020
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
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: 21 maio 2024. -
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/s20102979 -
NLM
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 2024 maio 21 ] Available from: https://doi.org/10.3390/s20102979 -
Vancouver
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 2024 maio 21 ] Available from: https://doi.org/10.3390/s20102979 - Piezoelectrets with well-defined cavities produced from 3D-printed acrylonitrile butadiene styrene structures
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Informações sobre o DOI: 10.3390/s20102979 (Fonte: oaDOI API)
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