1360 related articles for article (PubMed ID: 21501713)
1. Variable selection in near-infrared spectroscopy: benchmarking of feature selection methods on biodiesel data.
Balabin RM; Smirnov SV
Anal Chim Acta; 2011 Apr; 692(1-2):63-72. PubMed ID: 21501713
[TBL] [Abstract][Full Text] [Related]
2. Variables selection methods in near-infrared spectroscopy.
Xiaobo Z; Jiewen Z; Povey MJ; Holmes M; Hanpin M
Anal Chim Acta; 2010 May; 667(1-2):14-32. PubMed ID: 20441862
[TBL] [Abstract][Full Text] [Related]
3. Hybrid variable selection in visible and near-infrared spectral analysis for non-invasive quality determination of grape juice.
Wu D; He Y; Nie P; Cao F; Bao Y
Anal Chim Acta; 2010 Feb; 659(1-2):229-37. PubMed ID: 20103129
[TBL] [Abstract][Full Text] [Related]
4. Support vector machine regression (SVR/LS-SVM)--an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data.
Balabin RM; Lomakina EI
Analyst; 2011 Apr; 136(8):1703-12. PubMed ID: 21350755
[TBL] [Abstract][Full Text] [Related]
5. Determination of biodiesel content in biodiesel/diesel blends using NIR and visible spectroscopy with variable selection.
Fernandes DD; Gomes AA; Costa GB; Silva GW; Véras G
Talanta; 2011 Dec; 87():30-4. PubMed ID: 22099644
[TBL] [Abstract][Full Text] [Related]
6. Interpolation and extrapolation problems of multivariate regression in analytical chemistry: benchmarking the robustness on near-infrared (NIR) spectroscopy data.
Balabin RM; Smirnov SV
Analyst; 2012 Apr; 137(7):1604-10. PubMed ID: 22337290
[TBL] [Abstract][Full Text] [Related]
7. Genetic algorithm interval partial least squares regression combined successive projections algorithm for variable selection in near-infrared quantitative analysis of pigment in cucumber leaves.
Zou X; Zhao J; Mao H; Shi J; Yin X; Li Y
Appl Spectrosc; 2010 Jul; 64(7):786-94. PubMed ID: 20615293
[TBL] [Abstract][Full Text] [Related]
8. Classification of structurally related commercial contrast media by near infrared spectroscopy.
Yip WL; Soosainather TC; Dyrstad K; Sande SA
J Pharm Biomed Anal; 2014 Mar; 90():148-60. PubMed ID: 24374816
[TBL] [Abstract][Full Text] [Related]
9. Using near-infrared overtone regions to determine biodiesel content and adulteration of diesel/biodiesel blends with vegetable oils.
de Vasconcelos FV; de Souza PF; Pimentel MF; Pontes MJ; Pereira CF
Anal Chim Acta; 2012 Feb; 716():101-7. PubMed ID: 22284883
[TBL] [Abstract][Full Text] [Related]
10. Improved variable reduction in partial least squares modelling based on predictive-property-ranked variables and adaptation of partial least squares complexity.
Andries JP; Vander Heyden Y; Buydens LM
Anal Chim Acta; 2011 Oct; 705(1-2):292-305. PubMed ID: 21962372
[TBL] [Abstract][Full Text] [Related]
11. Adulteration of diesel/biodiesel blends by vegetable oil as determined by Fourier transform (FT) near infrared spectrometry and FT-Raman spectroscopy.
Oliveira FC; Brandão CR; Ramalho HF; da Costa LA; Suarez PA; Rubim JC
Anal Chim Acta; 2007 Mar; 587(2):194-9. PubMed ID: 17386773
[TBL] [Abstract][Full Text] [Related]
12. Sensitive Wavelengths Selection in Identification of
Xia Z; Zhang C; Weng H; Nie P; He Y
Int J Anal Chem; 2017; 2017():6018769. PubMed ID: 28932243
[TBL] [Abstract][Full Text] [Related]
13. Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage.
Gholivand MB; Jalalvand AR; Goicoechea HC; Skov T
Talanta; 2014 Feb; 119():553-63. PubMed ID: 24401455
[TBL] [Abstract][Full Text] [Related]
14. Detection of adulteration in hydrated ethyl alcohol fuel using infrared spectroscopy and supervised pattern recognition methods.
Silva AC; Pontes LF; Pimentel MF; Pontes MJ
Talanta; 2012 May; 93():129-34. PubMed ID: 22483888
[TBL] [Abstract][Full Text] [Related]
15. Screening analysis to detect adulteration in diesel/biodiesel blends using near infrared spectrometry and multivariate classification.
Pontes MJ; Pereira CF; Pimentel MF; Vasconcelos FV; Silva AG
Talanta; 2011 Sep; 85(4):2159-65. PubMed ID: 21872073
[TBL] [Abstract][Full Text] [Related]
16. Elastic net grouping variable selection combined with partial least squares regression (EN-PLSR) for the analysis of strongly multi-collinear spectroscopic data.
Fu GH; Xu QS; Li HD; Cao DS; Liang YZ
Appl Spectrosc; 2011 Apr; 65(4):402-8. PubMed ID: 21396187
[TBL] [Abstract][Full Text] [Related]
17. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration.
Li H; Liang Y; Xu Q; Cao D
Anal Chim Acta; 2009 Aug; 648(1):77-84. PubMed ID: 19616692
[TBL] [Abstract][Full Text] [Related]
18. Determination of total nitrogen content, pH, density, refractive index, and brix in Thai fish sauces and their classification by near-infrared spectroscopy with searching combination moving window partial least squares.
Ritthiruangdej P; Kasemsumran S; Suwonsichon T; Haruthaithanasan V; Thanapase W; Ozaki Y
Analyst; 2005 Oct; 130(10):1439-45. PubMed ID: 16172671
[TBL] [Abstract][Full Text] [Related]
19. Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton-viscose textiles.
Durand A; Devos O; Ruckebusch C; Huvenne JP
Anal Chim Acta; 2007 Jul; 595(1-2):72-9. PubMed ID: 17605985
[TBL] [Abstract][Full Text] [Related]
20. Biodiesel classification by base stock type (vegetable oil) using near infrared spectroscopy data.
Balabin RM; Safieva RZ
Anal Chim Acta; 2011 Mar; 689(2):190-7. PubMed ID: 21397073
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]