Chemoinformatic design of amphiphilic molecules for methane hydrate inhibition.
- Published in:
- Journal of Chemometrics, 2018, v. 32, n. 6, p. 1, doi. 10.1002/cem.3008
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- Publication type:
- Article
Works matching IS 08869383 AND DT 2018 AND VI 32 AND IP 6
Results: 8
1
2
Degrees‐of‐freedom, errors, and replicates.
- Published in:
- Journal of Chemometrics, 2018, v. 32, n. 6, p. 1, doi. 10.1002/cem.3016
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- Publication type:
- Article
3
Simultaneous construction of dual Borgen plots. II: Algorithmic enhancement for applications to noisy spectral data.
- Published in:
- Journal of Chemometrics, 2018, v. 32, n. 6, p. 1, doi. 10.1002/cem.3012
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- Publication type:
- Article
4
Ensemble learning model based on selected diverse principal component analysis models for process monitoring.
- Published in:
- Journal of Chemometrics, 2018, v. 32, n. 6, p. 1, doi. 10.1002/cem.3010
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- Publication type:
- Article
5
Data augmentation in food science: Synthesising spectroscopic data of vegetable oils for performance enhancement.
- Published in:
- Journal of Chemometrics, 2018, v. 32, n. 6, p. 1, doi. 10.1002/cem.3004
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- Publication type:
- Article
6
Can we beat overfitting?—A closer look at Cloarec's PLS algorithm.
- Published in:
- Journal of Chemometrics, 2018, v. 32, n. 6, p. 1, doi. 10.1002/cem.3002
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- Publication type:
- Article
7
Systematic comparison and potential combination between multivariate curve resolution–alternating least squares (MCR‐ALS) and band‐target entropy minimization (BTEM).
- Published in:
- Journal of Chemometrics, 2018, v. 32, n. 6, p. 1, doi. 10.1002/cem.3000
- By:
- Publication type:
- Article
8
Issue Information.
- Published in:
- Journal of Chemometrics, 2018, v. 32, n. 6, p. 1, doi. 10.1002/cem.2947
- Publication type:
- Article