A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 10 Issue 7
Jul.  2023

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Q. W. Zhu, Q. Y. Xiong, Z. Y. Yang, and Y. Yu, “RGCNU: Recurrent graph convolutional network with uncertainty estimation for remaining useful life prediction,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 7, pp. 1640–1642, Jul. 2023. doi: 10.1109/JAS.2023.123369
Citation: Q. W. Zhu, Q. Y. Xiong, Z. Y. Yang, and Y. Yu, “RGCNU: Recurrent graph convolutional network with uncertainty estimation for remaining useful life prediction,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 7, pp. 1640–1642, Jul. 2023. doi: 10.1109/JAS.2023.123369

RGCNU: Recurrent Graph Convolutional Network With Uncertainty Estimation for Remaining Useful Life Prediction

doi: 10.1109/JAS.2023.123369
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