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This work proposes the use of bandstop filtering (BSF) as a pretreatment method in the quantitative analysis of glucose from both near‐infrared (NIR) and midinfrared (MIR) spectra. The proposed method is investigated and evaluated against the traditional bandpass filtering (BPF) and implemented with the linear calibration models principal component regression (PCR) and partial least squares regression...
This paper proposes a novel pre-processing method based on combining bandpass with Savitzky-Golay filtering to further improve the prediction performance of the linear calibration models Principal Component Regression (PCR) and Partial Least Squares Regression (PLSR) in near infrared spectroscopy. The proposed method is compared to the highly efficient RReliefF pre-processing technique for further...
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