Rios, M.P.; Caiado, R.G.G.; Vignon, Y.R.; Corseuil, E.T.; Santos, P.I.N.
Optimising Maintenance Planning and Integrity in Offshore Facilities Using Machine Learning and Design Science: A Predictive Approach. Appl. Sci. 2024, 14, 10902.
https://doi.org/10.3390/app142310902
AMA Style
Rios MP, Caiado RGG, Vignon YR, Corseuil ET, Santos PIN.
Optimising Maintenance Planning and Integrity in Offshore Facilities Using Machine Learning and Design Science: A Predictive Approach. Applied Sciences. 2024; 14(23):10902.
https://doi.org/10.3390/app142310902
Chicago/Turabian Style
Rios, Marina Polonia, Rodrigo Goyannes Gusmão Caiado, Yiselis RodrÃguez Vignon, Eduardo Thadeu Corseuil, and Paulo Ivson Netto Santos.
2024. "Optimising Maintenance Planning and Integrity in Offshore Facilities Using Machine Learning and Design Science: A Predictive Approach" Applied Sciences 14, no. 23: 10902.
https://doi.org/10.3390/app142310902
APA Style
Rios, M. P., Caiado, R. G. G., Vignon, Y. R., Corseuil, E. T., & Santos, P. I. N.
(2024). Optimising Maintenance Planning and Integrity in Offshore Facilities Using Machine Learning and Design Science: A Predictive Approach. Applied Sciences, 14(23), 10902.
https://doi.org/10.3390/app142310902