# | Document title | Authors | Year | Source | Cited by |
1 | Dynamic projection network for supervised pattern classification | Li C., Jansuwan C. | 2005 | International Journal of Approximate Reasoning 40(3),pp. 243-261 | 5 |
2 | Alloy inconel 718 by 3D micro-electro discharge machining | Kumkoon P., Raksiri C., Jansuwan C. | 2014 | Applied Mechanics and Materials 590,pp. 239-243 | 5 |
3 | Dynamic projection network for supervised pattern classification | Li C., Jansuwan C. | 2004 | American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC 73(1 PART A),pp. 707-713 | 2 |
4 | Utility of projection network for diagnosis of high pressure air compressor faults | Jansuwan C., Li C. | 2003 | American Society of Mechanical Engineers, Manufacturing Engineering Division, MED 14,pp. 155-159 | 1 |
5 | Utility of projection network for air-craft-engine fault diagnosis | Jansuwan C., Li C. | 2004 | American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC 73(1 PART A),pp. 541-546 | 0 |
6 | Projection network for unsupervised pattern classification | Li C., Jansuwan C. | 2005 | American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC 74 DSC(1 PART A),pp. 881-889 | 0 |
7 | High pressure air compressor condition monitoring using unsupervised pattern classification based on projection networks | Jansuwan C., Li C. | 2005 | American Society of Mechanical Engineers, Manufacturing Engineering Division, MED 16-1,pp. 759-765 | 0 |
8 | High pressure am compressor condition monitoring using unsupervised pattern classification based on projection networks | Jansuwan C., James Li C. | 2006 | Metrics: The Key to Success - Proceedings of the 60th Meeting of the Society for Machinery Failure Prevention Technology ,pp. 149-158 | 0 |
9 | Projection network for unsupervised pattern classification | James Li C., Jansuwan C. | 2007 | Integration of Machinery Failure Prevention Technologies into Systems Health Management - Proceedings of the 61st Meeting of the Society for Machinery Failure Prevention Technology
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