Improving the Discriminatory Power of a Near-Infrared Microscopy Spectral Library with a Support Vector Machine Classifier

By Fernández-Ibáñez V.   Fearn T.   Montañés E.   Quevedo J. R.   Soldado A.   de la Roza-Delgado B.  

Applied Spectroscopy, Vol. 64, Iss. 1, 2010-01 ,pp. : 66-72

Society for Applied Spectroscopy

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Digital Filtering and Model Updating Methods for Improving the Robustness of Near-Infrared Multivariate Calibrations

By Kramer Kirsten E.   Small Gary W.  

Applied Spectroscopy, Vol. 63, Iss. 2, 2009-02 ,pp. : 246-255

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Prediction of Human Intestinal Absorption by GA Feature Selection and Support Vector Machine Regression

By Yan Aixia   Wang Zhi   Cai Zongyuan  

International Journal of Molecular Sciences, Vol. 9, Iss. 10, 2008-10 ,pp. : 1961-1976

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An Effect of Cellulose Crystallinity on the Moisture Absorbability of a Pharmaceutical Tablet Studied by Near-Infrared Spectroscopy

By Awa Kimie   Shinzawa Hideyuki   Ozaki Yukihiro  

Applied Spectroscopy, Vol. 68, Iss. 6, 2014-06 ,pp. : 625-632

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Detection of Glutamic Acid in Oilseed Rape Leaves Using Near Infrared Spectroscopy and the Least Squares-Support Vector Machine

By Bao Yidan   Kong Wenwen   Liu Fei   Qiu Zhengjun   He Yong  

International Journal of Molecular Sciences, Vol. 13, Iss. 11, 2012-10 ,pp. : 14106-14114

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