Automated Spectral Preprocessing via Bayesian Optimization for Chemometric Analysis of Milk Constituents

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Bibliografski detalji
Izdano u:	Foods vol. 14, no. 17 (2025), p. 2996-3024
Glavni autor:	Babatunde Habeeb Abolaji
Daljnji autori:	McDougal, Owen M, Andersen, Timothy
Izdano:	MDPI AG
Teme:	Accuracy Datasets Regression analysis Regression models Optimization Infrared analysis Homogenization Training Automation Peptides Oils & fats Infrared spectra Dietary minerals Proteins Milk Carbohydrates Preprocessing Bayesian analysis Spectrum analysis Support vector machines Lactose Pipelines Process controls Effectiveness Lipids Meat quality Mathematical models Infrared radiation Chemometrics Uniqueness
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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