Hajgató, G., Wéber, R., Szilágyi, B., Tóthpál, B., Gyires-Tóth, B., & Hős, C. (2022). PredMaX: Predictive maintenance with explainable deep convolutional autoencoders. Advanced engineering informatics, 54, 101778. https://doi.org/10.1016/j.aei.2022.101778
Chicago-Zitierstil (17. Ausg.)Hajgató, Gergely, Richárd Wéber, Botond Szilágyi, Balázs Tóthpál, Bálint Gyires-Tóth, und Csaba Hős. "PredMaX: Predictive Maintenance with Explainable Deep Convolutional Autoencoders." Advanced Engineering Informatics 54 (2022): 101778. https://doi.org/10.1016/j.aei.2022.101778.
MLA-Zitierstil (9. Ausg.)Hajgató, Gergely, et al. "PredMaX: Predictive Maintenance with Explainable Deep Convolutional Autoencoders." Advanced Engineering Informatics, vol. 54, 2022, p. 101778, https://doi.org/10.1016/j.aei.2022.101778.