A novel workflow combining comprehensive two-dimensional gas chromatography (GC×GC) with computer vision (CV) was developed to analyze the complex volatile profiles of coffee. By generating composite ...
1. Aspects of multivariate analysis -- 2. Matrix algebra and random vectors -- 3. Sample geometry and random sampling -- 4. The multivariate normal distribution -- 5. Inferences about a mean vector -- ...
PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.
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