科研产出
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1Two dimensional correlation spectroscopy combined with ResNet: Efficient method to identify bolete species compared to traditional machine learning
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来源:LWT-FOOD SCIENCE AND TECHNOLOGY
关键词: Bolete; FT-NIR; Chemometrics; 2DCOS; ResNet
年份:2022
2Application of Identification and Evaluation Techniques for Edible Mushrooms: A Review
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来源:CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
关键词: Chromatography; deep learning; edible mushroom; quality evaluation; spectroscopic
3Superiority of two-dimensional correlation spectroscopy combined with ResNet in species identification of bolete
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机构:
来源:INFRARED PHYSICS & TECHNOLOGY
关键词: Bolete; Adulterate; FT-NIR; Random forest; 2DCOS; ResNet
年份:2022
4Qualitative and quantitative analysis of Lanmaoa asiatica in different storage years based on FT-NIR combined with chemometrics
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机构:
来源:MICROCHEMICAL JOURNAL
关键词: Lanmaoa asiatica; FT-NIR; HPLC; Chemometrics; Nucleoside; Content prediction
年份:2023
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