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Detection of common wound infection bacteria based on FAIMS technology |
Shenyi QIAN1, Daiyi LI1, Tong SUN1,2(), Bin YU2 |
1. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China 2. College of Communication Engineering, Chongqing University, Chongqing 400044, China |
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Corresponding Author(s):
Tong SUN
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Just Accepted Date: 10 January 2019
Online First Date: 26 March 2019
Issue Date: 29 May 2019
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https://doi.org/10.1109/LSP.2013.2259622
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X YTan, BTriggs. Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Transactions on Image Processing, 2010, 19(6): 1635–1650
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S MCheng, JWang, Y HMa, Y W Wang. Discrimination of different types damage of tomato seedling by electronic nose. Chinese Journal of Sensors & Actuators, 2012, 25(9): 1184–1188
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