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A two-stage hierarchical support vector machine framework detects roasted coffee adulterants through principal component analysis of hyperspectral imaging data.

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Title: A two-stage hierarchical support vector machine framework detects roasted coffee adulterants through principal component analysis of hyperspectral imaging data.
Authors: AL-Agouz, Ahmed1 (AUTHOR), Ebrahem, Mohamed1 (AUTHOR), Hosni, Mohamed I.1 (AUTHOR), Abdallah, Adel2 (AUTHOR), Mahmoud, Alaaeldin1 (AUTHOR) dralaa41@mtc.edu.eg
Source: Scientific Reports. 7/9/2026, Vol. 16 Issue 1, p1-22. 22p.
Database: Academic Search Ultimate
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  Data: A two-stage hierarchical support vector machine framework detects roasted coffee adulterants through principal component analysis of hyperspectral imaging data.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 7/9/2026, Vol. 16 Issue 1, p1-22. 22p.
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