Aircraft fuselage corrosion detection using artificial intelligence (2021)
- Authors:
- USP affiliated authors: RODRIGUES JUNIOR, JOSÉ FERNANDO - ICMC ; SOUZA, GABRIEL SPADON DE - ICMC
- Unidade: ICMC
- DOI: 10.3390/s21124026
- Subjects: REDES NEURAIS; RECONHECIMENTO DE IMAGEM; MANUTENÇÃO DE AERONAVES; FUSELAGEM DE AERONAVES; CORROSÃO
- Keywords: aircraft corrosion inspection; automatic corrosion detection; material fatigue; corrosion science; rust detection; aviation maintenance; deep learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- 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
MACHADO, Bruno Brandoli et al. Aircraft fuselage corrosion detection using artificial intelligence. Sensors, v. 21, p. 1-15, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21124026. Acesso em: 19 abr. 2024. -
APA
Machado, B. B., Geus, A. R. de, Souza, J. R., Spadon, G., Soares, A., Rodrigues Junior, J. F., et al. (2021). Aircraft fuselage corrosion detection using artificial intelligence. Sensors, 21, 1-15. doi:10.3390/s21124026 -
NLM
Machado BB, Geus AR de, Souza JR, Spadon G, Soares A, Rodrigues Junior JF, Komorowski J, Matwin S. Aircraft fuselage corrosion detection using artificial intelligence [Internet]. Sensors. 2021 ; 21 1-15.[citado 2024 abr. 19 ] Available from: https://doi.org/10.3390/s21124026 -
Vancouver
Machado BB, Geus AR de, Souza JR, Spadon G, Soares A, Rodrigues Junior JF, Komorowski J, Matwin S. Aircraft fuselage corrosion detection using artificial intelligence [Internet]. Sensors. 2021 ; 21 1-15.[citado 2024 abr. 19 ] Available from: https://doi.org/10.3390/s21124026 - Lig-Doctor: real-world clinical prognosis using a bi-directional neural network
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Informações sobre o DOI: 10.3390/s21124026 (Fonte: oaDOI API)
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