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Updated: Jul 1, 2025

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开发一个机器学习模型,用于系统化Aspergillus部分Nigri使用基于同步子辐射的里埃变换红外光谱学

Salilaporn Nuankaew1,2, Nattawut Boonyuen2, Kanjana Thumanu3

  • 1Department of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.

Heliyon
|March 5, 2024
PubMed
概括

在食品中识别黑色阿斯伯吉利物种是具有挑战性的. 基于同步子辐射的里埃变换红外显微镜 (SR-FTIR) 与深度学习相结合,实现了95.97%的准确性,用于快速的真菌分类.

关键词:
黑色的阿斯伯吉利是黑色的.卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.在FTIR光谱学中使用.菌的分类 菌的分类红外同步子辐射是红外同步子辐射.

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