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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Numero 1 (Gennaio 2024)
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Analysis of enzyme interference factors in millet storage based on machine learning
Yi Chen
Yi Chen
Hebei Key Laboratory of Quality & Safety Analysis-Testing for Agro-Products and Food, Hebei North University
China
Zhangjiakou Key Laboratory of Quality & Safety for Charactenistics Agro-Products, Hebei North University
China
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Chen, Yi
,
Dong Wei
Dong Wei
Hebei Key Laboratory of Quality & Safety Analysis-Testing for Agro-Products and Food, Hebei North University
China
Zhangjiakou Key Laboratory of Quality & Safety for Charactenistics Agro-Products, Hebei North University
China
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Wei, Dong
,
Lei Wang
Lei Wang
Hebei Key Laboratory of Quality & Safety Analysis-Testing for Agro-Products and Food, Hebei North University
China
Zhangjiakou Key Laboratory of Quality & Safety for Charactenistics Agro-Products, Hebei North University
China
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Wang, Lei
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Chang Liu
Chang Liu
Zhangjiakou Key Laboratory of Quality & Safety for Charactenistics Agro-Products, Hebei North University
China
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Liu, Chang
01 nov 2023
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Numero 1 (Gennaio 2024)
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Pubblicato online:
01 nov 2023
Ricevuto:
15 nov 2022
Accettato:
12 mag 2023
DOI:
https://doi.org/10.2478/amns.2023.2.00929
Parole chiave
<kwd>Peroxidase</kwd>
,
<kwd>MAD-MFEs</kwd>
,
<kwd>Model construction</kwd>
,
<kwd>Millet storage</kwd>
,
<kwd>Protein</kwd>
,
<kwd>Sequence quantification</kwd>
© 2023 Yi Chen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.