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Herong Yu

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

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Scholarly Papers (1)

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Rapid Evaluation of the Quality of Epimedium with Different Processing Degrees by E-Eye and Nir  Spectroscopy Combined with Machine Learning

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Rapid Evaluation of the Quality of Epimedium with Different Processing Degrees by E-Eye and Nir  Spectroscopy Combined with Machine Learning

Number of pages: 24 Posted: 29 Apr 2024
Zheyuan Wu, Hui Xie, Jiuba Zhang, Ming-xuan Li, Bin Wang, Yi Wu, Herong Yu, Xinru Nie, Jianwei Hao, Jia Jia and lu tulin
Nanjing University of Chinese Medicine (NJUCM) - School of Pharmacy, affiliation not provided to SSRN, Nanjing University of Chinese Medicine (NJUCM) - School of Pharmacy, Nanjing University of Chinese Medicine (NJUCM) - School of Pharmacy, affiliation not provided to SSRN, Nanjing University of Chinese Medicine (NJUCM) - School of Pharmacy, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Nanjing University
Downloads 30 (1,356,108)

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Epimedium, Processing, E-eye, NIR Spectroscopy, Machine Learning, Feature Wavelength Selection

Rapid Evaluation of the Quality of Epimedium with Different Processing Degrees by E-Eye and Nir  Spectroscopy Combined with Machine Learning

Number of pages: 24 Posted: 15 May 2024
Zheyuan Wu, Hui Xie, Jiuba Zhang, Ming-xuan Li, Bin Wang, Yi Wu, Herong Yu, Xinru Nie, Jianwei Hao, Jia Jia and lu tulin
Nanjing University of Chinese Medicine (NJUCM) - School of Pharmacy, affiliation not provided to SSRN, Nanjing University of Chinese Medicine (NJUCM) - School of Pharmacy, Nanjing University of Chinese Medicine (NJUCM) - School of Pharmacy, affiliation not provided to SSRN, Nanjing University of Chinese Medicine (NJUCM) - School of Pharmacy, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Nanjing University
Downloads 27 (1,400,723)

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Epimedium, processing, E-eye, NIR spectroscopy, Machine learning, Feature Wavelength Selection