Classification and identification of food-borne pathogens by Raman spectra based on XGBoost and PCA-Reference-Cited by-同舟云学术

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Classification and identification of food-borne pathogens by Raman spectra based on XGBoost and PCA

Published:2023-11-23 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
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Author:

Zeng Wandan¹,Wang Cheng¹

Affiliation:

1. Shanghai Institute of Technology,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10347554/10347588/10347621.pdf?arnumber=10347621

Reference11 articles.

1. Detection and application value evaluation of intestinal pathogenic bacteria by PCR [J];Yang;Capital Food and Medicine,2019

2. Rapid detection of foodborne pathogenic bacteria biological technology research progress [J];Xinyi;Journal of food safety and quality testing,2021

3. Determination of fatty acid content in mixed oil by Raman spectroscopy based on ABC-SVR algorithm [J];Yanjun;Spectroscopy and Spectral Analysis,2019

4. Classification and recognition of foodborne pathogens by Raman spectroscopy combined with Adaboost algorithm [J];Jielun;Laser,2022

5. Improved Raman Spectrum Aging evaluation Model for KNN transformers with different oil paper ratios [J];Xinguang;Journal of Chongqing University of Technology (Natural Science),2019

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