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 NÃO é de acesso aberto
-
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: 10 fev. 2026. -
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 2026 fev. 10 ] 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 2026 fev. 10 ] Available from: https://doi.org/10.3390/s21124026 - Pay attention to evolution: time series forecasting with deep graph-evolution learning
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Informações sobre o DOI: 10.3390/s21124026 (Fonte: oaDOI API)
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