An antioxidative potential‐based comparison of different peanut extraction methods, optimized through response surface methodology.
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- Journal of Chemometrics, 2024, v. 38, n. 6, p. 1, doi. 10.1002/cem.3524
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Works in Journal of Chemometrics, 2024, Vol 38, Issue 6
Results: 7
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Image‐based characterization of flocculation processes through PLS inspired representation learning in convolutional neural networks.
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- Journal of Chemometrics, 2024, v. 38, n. 6, p. 1, doi. 10.1002/cem.3534
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- Article
3
Assessment of adulteration of sage (Salvia sp.) with olive leaves using high‐performance thin‐layer chromatography, image analysis, and multivariate linear modeling.
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- Journal of Chemometrics, 2024, v. 38, n. 6, p. 1, doi. 10.1002/cem.3533
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- Article
4
Implications of confounding from unmodeled interactions between explanatory variables when using latent variable regression models to make inferences.
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- Journal of Chemometrics, 2024, v. 38, n. 6, p. 1, doi. 10.1002/cem.3531
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5
The difference of model robustness assessment using cross‐validation and bootstrap methods.
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- Journal of Chemometrics, 2024, v. 38, n. 6, p. 1, doi. 10.1002/cem.3530
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- Article
6
Two new methods for the estimation and interpretation of the range of feasible profiles in multivariate curve resolution and their implications to analytical chemistry.
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- Journal of Chemometrics, 2024, v. 38, n. 6, p. 1, doi. 10.1002/cem.3535
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- Article
7
Issue Information.
- Published in:
- Journal of Chemometrics, 2024, v. 38, n. 6, p. 1, doi. 10.1002/cem.3491
- Publication type:
- Article