Improvement of spectral calibration for food analysis through multi-model fusion
Author:
Publisher
Elsevier BV
Subject
Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference42 articles.
1. Development of optimal protocol for visible and near-infrared reflectance spectroscopic evaluation of meat quality
2. Prediction of lamb meat fatty acid composition using near-infrared reflectance spectroscopy (NIRS)
3. Prediction of moisture, calorific value, ash and carbon content of two dedicated bioenergy crops using near-infrared spectroscopy
4. A comparison of model-based and regression classification techniques applied to near infrared spectroscopic data in food authentication studies
5. Comparison of calibrations for the determination of soluble solids content and pH of rice vinegars using visible and short-wave near infrared spectroscopy
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1. Raman spectroscopy and fusion machine learning algorithm: A novel approach to identify dairy fraud;Journal of Food Composition and Analysis;2024-05
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3. Development of a Discrimination Model for Dead Cocoons Using Near-Infrared Transmission Spectra Analyses;SSRN Electronic Journal;2022
4. Rapid determination of hemoglobin concentration by a novel ensemble extreme learning machine method combined with near-infrared spectroscopy;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2021-12
5. A new ensemble modeling method for multivariate calibration of near infrared spectra;Analytical Methods;2021
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