Mohamed Ragab


PhD Student

Adversarial Transfer Learning for Machine Remaining Useful Life Prediction (Finalist Award)


Conference paper


Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2020 IEEE International Conference on Prognostics and Health Management (ICPHM), IEEE, 2020, pp. 1--7

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Cite

APA
Ragab, M., Chen, Z., Wu, M., Kwoh, C. K., & Li, X. (2020). Adversarial Transfer Learning for Machine Remaining Useful Life Prediction (Finalist Award). In 2020 IEEE International Conference on Prognostics and Health Management (ICPHM) (pp. 1–7). IEEE.

Chicago/Turabian
Ragab, Mohamed, Zhenghua Chen, Min Wu, Chee Keong Kwoh, and Xiaoli Li. “Adversarial Transfer Learning for Machine Remaining Useful Life Prediction (Finalist Award).” In 2020 IEEE International Conference on Prognostics and Health Management (ICPHM), 1–7. IEEE, 2020.

MLA
Ragab, Mohamed, et al. “Adversarial Transfer Learning for Machine Remaining Useful Life Prediction (Finalist Award).” 2020 IEEE International Conference on Prognostics and Health Management (ICPHM), IEEE, 2020, pp. 1–7.