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Number of items: 10.

G

Gu, F, Yesilyurt, I, Li, Y, Harris, G and Ball, A 2006, 'An investigation of the effects of measurement noise in the use of instantaneous angular speed for machine diagnosis' , Mechanical Systems and Signal Processing, 20 (6) , pp. 1444-1460.
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L

Li, Y, McLean, D, Bandar, Z, O'Shea, JD and Crockett, K 2006, 'Sentence similarity based on semantic nets and corpus statistics' , IEEE Transactions on Knowledge and Data Engineering, 18 (8) , pp. 1138-1150.
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Li, Yuhua 2011, 'Selecting training points for one-class support vector machines' , Pattern Recognition Letters, 32 (11) , pp. 1517-1522.
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Li, Yuhua, Gu, Fengshou, Harris, Georgina, Ball, Andrew, Bennett, Nick and Travis, Ken 2005, 'The measurement of instantaneous angular speed' , Mechanical Systems and Signal Processing, 19 (4) , pp. 786-805.
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Liu, J, Harkin, J, Li, Y and Maguire, L 2014, 'Online traffic-aware fault detection for networks-on-chip' , Journal of Parallel and Distributed Systems, 74 (1) , pp. 1984-1993.
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M

McCann, Michael, Li, Yuhua, Maguire, Liam and Johnston, Adrian 2010, 'Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control' , Journal of Machine Learning Research: Workshop and Conference Proceedings, 6 , pp. 277-288.
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S

Sasi, AB, Gu, F, Li, Y and Ball, AD 2006, 'A validated model for the prediction of rotor bar failure in squirrel-cage motors using instantaneous angular speed' , Mechanical Systems and Signal Processing, 20 (7) , pp. 1572-1589.
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Z

Zhang, K, Li, Y, Scarf, PA ORCID: https://orcid.org/0000-0001-5623-906X and Ball, A 2011, 'Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks' , Neurocomputing, 74 (17) , pp. 2941-2952.
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Zhang, Kui, Ball, Andrew, Li, Yuhua and Gu, Fengshou 2011, 'A novel feature selection algorithm for high-dimensional condition monitoring data' , International Journal of Condition Monitoring, 1 (1) , pp. 33-43.
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Zhang, Kui, Li, Yuhua, Fan, Yibo and Ball, Andrew 2006, 'An Evaluation of the Potential Offered by a Relevance Vector Classifier in Fault Diagnosis' , International Journal of COMADEM, 9 (4) , pp. 35-40.
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