100 related articles for article (PubMed ID: 22497153)
1. [Construction and simplification of the calibration model for spectral analysis of fuel oil properties based on mutual information method].
Hao Y; Sun XD; Cai LJ; Liu YD
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Jan; 32(1):175-8. PubMed ID: 22497153
[TBL] [Abstract][Full Text] [Related]
2. Rapid Detection of Volatile Oil in
Yan H; Guo C; Shao Y; Ouyang Z
Pharmacogn Mag; 2017; 13(51):439-445. PubMed ID: 28839369
[TBL] [Abstract][Full Text] [Related]
3. [Research on wavelength variates selection methods for determination of oil yield in oil shales using near-infrared spectroscopy].
Zhao ZY; Lin J; Zhang FD; Li J
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Nov; 34(11):2948-52. PubMed ID: 25752037
[TBL] [Abstract][Full Text] [Related]
4. Mutual information-induced interval selection combined with kernel partial least squares for near-infrared spectral calibration.
Tan C; Li M
Spectrochim Acta A Mol Biomol Spectrosc; 2008 Dec; 71(4):1266-73. PubMed ID: 18462989
[TBL] [Abstract][Full Text] [Related]
5. Improvement of near infrared spectroscopic (NIRS) analysis of caffeine in roasted Arabica coffee by variable selection method of stability competitive adaptive reweighted sampling (SCARS).
Zhang X; Li W; Yin B; Chen W; Kelly DP; Wang X; Zheng K; Du Y
Spectrochim Acta A Mol Biomol Spectrosc; 2013 Oct; 114():350-6. PubMed ID: 23786975
[TBL] [Abstract][Full Text] [Related]
6. Feasibility of using near infrared spectroscopy to detect and quantify an adulterant in high quality sandalwood oil.
Kuriakose S; Joe IH
Spectrochim Acta A Mol Biomol Spectrosc; 2013 Nov; 115():568-73. PubMed ID: 23872015
[TBL] [Abstract][Full Text] [Related]
7. [Variable selection methods combined with local linear embedding theory used for optimization of near infrared spectral quantitative models].
Hao Y; Sun XD; Yang Q
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Dec; 32(12):3208-12. PubMed ID: 23427536
[TBL] [Abstract][Full Text] [Related]
8. Detection and quantification of adulteration in sandalwood oil through near infrared spectroscopy.
Kuriakose S; Thankappan X; Joe H; Venkataraman V
Analyst; 2010 Oct; 135(10):2676-81. PubMed ID: 20820490
[TBL] [Abstract][Full Text] [Related]
9. Rapid prediction of total petroleum hydrocarbons concentration in contaminated soil using vis-NIR spectroscopy and regression techniques.
Douglas RK; Nawar S; Alamar MC; Mouazen AM; Coulon F
Sci Total Environ; 2018 Mar; 616-617():147-155. PubMed ID: 29127788
[TBL] [Abstract][Full Text] [Related]
10. [Application of some different modeling algorithms to pear MT-firmness detection using NIR spectra].
Fu XP; Ying YB; Lu HS; Yu HY; Xu HR
Guang Pu Xue Yu Guang Pu Fen Xi; 2007 May; 27(5):911-5. PubMed ID: 17655102
[TBL] [Abstract][Full Text] [Related]
11. [Fast determination of heavy metal Cu in Ludwigia prostrata leaves using near infrared diffuse spectroscopy].
Liu YD; Shi Y; Cai LJ
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Dec; 32(12):3220-4. PubMed ID: 23427539
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. In situ determination of growing stages and harvest time of tomato (Lycopersicon esculentum ) fruits using fiber-optic visible-near-infrared (Vis-NIR) spectroscopy.
Yang H; Kuang B; Mouazen AM
Appl Spectrosc; 2011 Aug; 65(8):931-8. PubMed ID: 21819783
[TBL] [Abstract][Full Text] [Related]
14. Soil organic carbon content estimation with laboratory-based visible-near-infrared reflectance spectroscopy: feature selection.
Shi T; Chen Y; Liu H; Wang J; Wu G
Appl Spectrosc; 2014; 68(8):831-7. PubMed ID: 25061784
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. [Research on the influence of infrared spectral resolution on gas quantitative analysis].
Zhao JH; Wei ZJ; Gao ML; Fang J
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Dec; 29(12):3195-8. PubMed ID: 20210130
[TBL] [Abstract][Full Text] [Related]
17. Determination of potency of heparin active pharmaceutical ingredient by near infrared reflectance spectroscopy.
Sun C; Zang H; Liu X; Dong Q; Li L; Wang F; Sui L
J Pharm Biomed Anal; 2010 Apr; 51(5):1060-3. PubMed ID: 20036090
[TBL] [Abstract][Full Text] [Related]
18. Total sulfur determination in residues of crude oil distillation using FT-IR/ATR and variable selection methods.
Müller AL; Picoloto RS; de Azevedo Mello P; Ferrão MF; de Fátima Pereira dos Santos M; Guimarães RC; Müller EI; Flores EM
Spectrochim Acta A Mol Biomol Spectrosc; 2012 Apr; 89():82-7. PubMed ID: 22257712
[TBL] [Abstract][Full Text] [Related]
19. A variable selection method based on mutual information and variance inflation factor.
Cheng J; Sun J; Yao K; Xu M; Cao Y
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Mar; 268():120652. PubMed ID: 34896682
[TBL] [Abstract][Full Text] [Related]
20. An ensemble method based on uninformative variable elimination and mutual information for spectral multivariate calibration.
Tan C; Wang J; Wu T; Qin X; Li M
Spectrochim Acta A Mol Biomol Spectrosc; 2010 Dec; 77(5):960-4. PubMed ID: 20851045
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
