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- W2023871133 abstract "This paper proposes the use of locally weighted partial least square regression (LW-PLSR) as an alternative multivariate calibration method for the prediction of glucose concentration from NIR spectra. The efficiency of the proposed model is validated in experiments carried out in a non-controlled environment or sample conditions using mixtures composed of glucose, urea and triacetin. The collected data spans the spectral region from 2100 nm to 2400 nm with spectra resolution of 1 nm. The results show that the standard error of prediction (SEP) decreases to 23.85 mg/dL when using LW-PLSR in comparison to the SEP values of 49.40 mg/dL, and 27.56 mg/dL using Principal Component Regression (PCR) and Partial Least Square (PLS) regression respectively." @default.
- W2023871133 created "2016-06-24" @default.
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- W2023871133 date "2012-08-01" @default.
- W2023871133 modified "2023-09-25" @default.
- W2023871133 title "Determination of glucose concentration from near-infrared spectra using locally weighted partial least square regression" @default.
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- W2023871133 doi "https://doi.org/10.1109/embc.2012.6347402" @default.
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