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Applied Mathematics and Nonlinear Sciences
Volumen 9 (2024): Edición 1 (Enero 2024)
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Teaching reform of university botany courses based on discrete regression algorithm
Zhuowei Li
Zhuowei Li
School of Food and Biological Engineering, Hezhou University
Hezhou, China
Guangxi Key Laboratory of Health Care Food Science and Technology
Hezhou, China
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Li, Zhuowei
,
Junyuan Liu
Junyuan Liu
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
Wuhan, China
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Liu, Junyuan
,
Liuwanwan Lu
Liuwanwan Lu
School of Architecture, Design and Planning, The University of Sydney
Sydney, Australia
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Lu, Liuwanwan
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Yafang Wang
Yafang Wang
School of Food and Biological Engineering, Hezhou University
Hezhou, China
Guangxi Key Laboratory of Health Care Food Science and Technology
Hezhou, China
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Wang, Yafang
,
Xiaowei Yan
Xiaowei Yan
School of Food and Biological Engineering, Hezhou University
Hezhou, China
Guangxi Key Laboratory of Health Care Food Science and Technology
Hezhou, China
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Yan, Xiaowei
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Chunyang Han
Chunyang Han
School of Food and Biological Engineering, Hezhou University
Hezhou, China
Guangxi Key Laboratory of Health Care Food Science and Technology
Hezhou, China
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Han, Chunyang
30 ago 2023
Applied Mathematics and Nonlinear Sciences
Volumen 9 (2024): Edición 1 (Enero 2024)
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Publicado en línea:
30 ago 2023
Recibido:
24 oct 2022
Aceptado:
10 mar 2022
DOI:
https://doi.org/10.2478/amns.2023.2.00270
Palabras clave
Big data technology
,
Discrete regression algorithm
,
Hadoop platform
,
Botany teaching system
,
Weights
© 2023 Zhuowei Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.