SPECTROSCOPY DATA CALIBRATION USING STACKED ENSEMBLE MACHINE LEARNING

SPECTROSCOPY DATA CALIBRATION USING STACKED ENSEMBLE MACHINE LEARNING

Near infrared spectroscopy (NIRS) is a widely used analytical technique for non-destructive analysis of various materials including food fraud detection. However, the accurate calibration of NIRS data can be challenging due to the complexity of the underlying relationships between the spectral data...

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Bibliographic Details
Main Authors:	Mahmud Iwan Solihin, Chan Jin Yuan, Wan Siu Hong, Liew Phing Pui, Ang Chun Kit, Wafa Hossain, Affiani Machmudah
Format:	Article
Language:	English
Published:	IIUM Press, International Islamic University Malaysia 2024-01-01
Series:	International Islamic University Malaysia Engineering Journal
Subjects:	chemometrics calibration ensemble machine learning near infrared spectroscopy
Online Access:	https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2796

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