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Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering.

F. Xu, X. Song, K. Tsui, F. Yang, and Z. Huang. IEEE Access, (2019)

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Other publications of authors with the same name

Tracking Infectious Disease Spread for Global Pandemic Containment.K. Tsui, Z. Wong, D. Goldsman, and M. Edesess. IEEE Intelligent Systems, 28 (6): 60-64 (2013)Prognostics and health monitoring for lithium-ion battery.Y. Xing, Q. Miao, K. Tsui, and M. Pecht. ISI, page 242-247. IEEE, (2011)Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering.F. Xu, X. Song, K. Tsui, F. Yang, and Z. Huang. IEEE Access, (2019)State-of-Charge Estimation of Lithium-Ion Batteries via Long Short-Term Memory Network.F. Yang, X. Song, F. Xu, and K. Tsui. IEEE Access, (2019)Convolutional Gated Recurrent Unit-Recurrent Neural Network for State-of-Charge Estimation of Lithium-Ion Batteries.Z. Huang, F. Yang, F. Xu, X. Song, and K. Tsui. IEEE Access, (2019)Two-stage aggregation paradigm for HFLTS possibility distributions: A hierarchical clustering perspective.Z. Chen, L. Martínez-López, K. Chin, and K. Tsui. Expert Syst. Appl., (2018)A simple and robust batch-ordering inventory policy under incomplete demand knowledge.L. Bai, C. Alexopoulos, M. Ferguson, and K. Tsui. Computers & Industrial Engineering, 63 (1): 343-353 (2012)Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study.L. Yu, I. Zwetsloot, N. Stevens, J. Wilson, and K. Tsui. CoRR, (2019)Invited Keynote Talk: Data Mining and Statistical Methods for Analyzing Microarray Experiments.S. Lo, K. Tsui, and B. Barwick. ISBRA, volume 4983 of Lecture Notes in Computer Science, page 444. Springer, (2008)An Analysis of Factors Influencing Metro Station Ridership: Insights from Taipei Metro.Y. He, Y. Zhao, and K. Tsui. ITSC, page 1598-1603. IEEE, (2018)

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Disambiguation of "Tsui, Kwok-Leung"

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Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering.

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PUMA

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering.

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Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering.