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Journal Abstract Search
216 related items for PubMed ID: 31075849
1. Research on Distinguishing Fish Meal Quality Using Different Characteristic Parameters Based on Electronic Nose Technology. Li P, Ren Z, Shao K, Tan H, Niu Z. Sensors (Basel); 2019 May 09; 19(9):. PubMed ID: 31075849 [Abstract] [Full Text] [Related]
2. Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine. Zou X, Wang C, Luo M, Ren Q, Liu Y, Zhang S, Bai Y, Meng J, Zhang W, Su SW. Sensors (Basel); 2022 Apr 14; 22(8):. PubMed ID: 35458982 [Abstract] [Full Text] [Related]
3. Evaluation of fish meal freshness using a metal-oxide semiconductor electronic nose combined with the long short-term memory feature extraction method. Li P, Li Z, Hu Y, Niu Z, Wang Z, Zhou H, Sun X. J Food Sci; 2024 Aug 14; 89(8):5016-5030. PubMed ID: 38980966 [Abstract] [Full Text] [Related]
12. Classification for Penicillium expansum Spoilage and Defect in Apples by Electronic Nose Combined with Chemometrics. Guo Z, Guo C, Chen Q, Ouyang Q, Shi J, El-Seedi HR, Zou X. Sensors (Basel); 2020 Apr 09; 20(7):. PubMed ID: 32283830 [Abstract] [Full Text] [Related]
14. Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose. Zhan X, Guan X, Wu R, Wang Z, Wang Y, Li G. Sensors (Basel); 2018 Sep 04; 18(9):. PubMed ID: 30181445 [Abstract] [Full Text] [Related]
15. Wavelet-based feature extraction for classification of epileptic seizure EEG signal. Sharmila A, Mahalakshmi P. J Med Eng Technol; 2017 Nov 04; 41(8):670-680. PubMed ID: 29117768 [Abstract] [Full Text] [Related]
16. A new kernel discriminant analysis framework for electronic nose recognition. Zhang L, Tian FC. Anal Chim Acta; 2014 Mar 13; 816():8-17. PubMed ID: 24580850 [Abstract] [Full Text] [Related]
19. Improved algorithms for the classification of rough rice using a bionic electronic nose based on PCA and the Wilks distribution. Xu S, Zhou Z, Lu H, Luo X, Lan Y. Sensors (Basel); 2014 Mar 19; 14(3):5486-501. PubMed ID: 24651725 [Abstract] [Full Text] [Related]
20. Prediction of total volatile basic nitrogen (TVB-N) in fish meal using a metal-oxide semiconductor electronic nose based on the VMD-SSA-LSTM algorithm. Li P, Li Z, Hu Y, Huang S, Yu N, Niu Z, Wang Z, Zhou H, Sun X. J Sci Food Agric; 2024 Oct 19; 104(13):7873-7884. PubMed ID: 38808632 [Abstract] [Full Text] [Related] Page: [Next] [New Search]