These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 29703949)

  • 1. Uses of selection strategies in both spectral and sample spaces for classifying hard and soft blueberry using near infrared data.
    Hu M; Zhai G; Zhao Y; Wang Z
    Sci Rep; 2018 Apr; 8(1):6671. PubMed ID: 29703949
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Nondestructive Detection and Quantification of Blueberry Bruising using Near-infrared (NIR) Hyperspectral Reflectance Imaging.
    Jiang Y; Li C; Takeda F
    Sci Rep; 2016 Oct; 6():35679. PubMed ID: 27767050
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Comparison of Predicting Blueberry Firmness and Elastic Modulus with Hyperspectral Reflectance, Transmittance and Interactance Imaging Modes].
    Hu MH; Dong QL; Liu BL
    Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Nov; 36(11):3651-6. PubMed ID: 30199208
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modelling postharvest quality of blueberry affected by biological variability using image and spectral data.
    Hu MH; Dong QL; Liu BL
    J Sci Food Agric; 2016 Aug; 96(10):3365-73. PubMed ID: 26526490
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classification of maize kernels using NIR hyperspectral imaging.
    Williams PJ; Kucheryavskiy S
    Food Chem; 2016 Oct; 209():131-8. PubMed ID: 27173544
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Optimizing spectral region in using near-infrared spectroscopy for donkey milk analysis].
    Zheng LM; Zhang LD; Guo HY; Pang K; Zhang WJ; Ren FZ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Nov; 27(11):2224-7. PubMed ID: 18260400
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements.
    Bai W; Yoshimura N; Takayanagi M; Che J; Horiuchi N; Ogiwara I
    J Vis Exp; 2016 Jun; (112):. PubMed ID: 27404089
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Use of Visible-Near-Infrared (Vis-NIR) Spectroscopy to Detect Aflatoxin B
    Tao F; Yao H; Hruska Z; Liu Y; Rajasekaran K; Bhatnagar D
    Appl Spectrosc; 2019 Apr; 73(4):415-423. PubMed ID: 30700102
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Identification of hardness of licorice single seed using near infrared spectroscopy].
    Sun Q; Li JH; Wang JH; Sun BQ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Oct; 29(10):2669-72. PubMed ID: 20038034
    [TBL] [Abstract][Full Text] [Related]  

  • 10. How to predict the sugariness and hardness of melons: A near-infrared hyperspectral imaging method.
    Sun M; Zhang D; Liu L; Wang Z
    Food Chem; 2017 Mar; 218():413-421. PubMed ID: 27719929
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Classification of impacted blueberries during storage using an electronic nose.
    Demir N; Ferraz AC; Sargent SA; Balaban MO
    J Sci Food Agric; 2011 Jul; 91(9):1722-7. PubMed ID: 21520446
    [TBL] [Abstract][Full Text] [Related]  

  • 12. New indicator for optimal preprocessing and wavelength selection of near-infrared spectra.
    Skibsted ET; Boelens HF; Westerhuis JA; Witte DT; Smilde AK
    Appl Spectrosc; 2004 Mar; 58(3):264-71. PubMed ID: 15035705
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Research on the Pre-Processing Methods of Wheat Hardness Prediction Model Based on Visible-Near Infrared Spectroscopy].
    Hui GY; Sun LJ; Wang JN; Wang LK; Dai CJ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Jul; 36(7):2111-6. PubMed ID: 30035895
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Maize kernel hardness classification by near infrared (NIR) hyperspectral imaging and multivariate data analysis.
    Williams P; Geladi P; Fox G; Manley M
    Anal Chim Acta; 2009 Oct; 653(2):121-30. PubMed ID: 19808104
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nondestructive tablet hardness testing by near-infrared spectroscopy: a new and robust spectral best-fit algorithm.
    Kirsch JD; Drennen JK
    J Pharm Biomed Anal; 1999 Mar; 19(3-4):351-62. PubMed ID: 10704101
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Screening wavelengths with consistent and stable signals to realize calibration model transfer of near infrared spectra.
    Ni L; Han M; Luan S; Zhang L
    Spectrochim Acta A Mol Biomol Spectrosc; 2019 Jan; 206():350-358. PubMed ID: 30145496
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Rapid and Nondestructive Method for Simultaneous Determination of Aflatoxigenic Fungus and Aflatoxin Contamination on Corn Kernels.
    Tao F; Yao H; Zhu F; Hruska Z; Liu Y; Rajasekaran K; Bhatnagar D
    J Agric Food Chem; 2019 May; 67(18):5230-5239. PubMed ID: 30986348
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Near-infrared hyperspectral imaging in tandem with partial least squares regression and genetic algorithm for non-destructive determination and visualization of Pseudomonas loads in chicken fillets.
    Feng YZ; Sun DW
    Talanta; 2013 May; 109():74-83. PubMed ID: 23618142
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rapid detection of three quality parameters and classification of wine based on Vis-NIR spectroscopy with wavelength selection by ACO and CARS algorithms.
    Hu L; Yin C; Ma S; Liu Z
    Spectrochim Acta A Mol Biomol Spectrosc; 2018 Dec; 205():574-581. PubMed ID: 30075438
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Rapid detecting total acid content and classifying different types of vinegar based on near infrared spectroscopy and least-squares support vector machine.
    Ji-yong S; Xiao-bo Z; Xiao-wei H; Jie-wen Z; Yanxiao L; Limin H; Jianchun Z
    Food Chem; 2013 May; 138(1):192-9. PubMed ID: 23265476
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.