MetadatenAuthor: | Changquan HuangORCiD, Yu GuORCiD |
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URN: | urn:nbn:de:hebis:30:3-692419 |
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DOI: | https://doi.org/10.3390/foods11040602 |
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ISSN: | 2304-8158 |
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Parent Title (English): | Foods |
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Publisher: | MDPI |
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Place of publication: | Basel |
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Document Type: | Article |
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Language: | English |
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Date of Publication (online): | 2022/02/20 |
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Date of first Publication: | 2022/02/20 |
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Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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Release Date: | 2022/11/08 |
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Tag: | electronic nose; meat adulteration; one-dimensional convolutional neural network; random forest regressor |
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Volume: | 11 |
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Issue: | 4, art. 602 |
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Article Number: | 602 |
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Page Number: | 17 |
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First Page: | 1 |
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Last Page: | 17 |
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Note: | Data Availability Statement: The data presented in this study are available at Figshare (https://doi.org/10.6084/m9.figshare.19200284.v1). |
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Note: | Funding: This research was funded by the National Natural Science Foundation of China [Grant No. 61876059]. |
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HeBIS-PPN: | 507149882 |
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Institutes: | Biochemie, Chemie und Pharmazie |
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Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
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| 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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| 6 Technik, Medizin, angewandte Wissenschaften / 64 Hauswirtschaft und Familie / 640 Hauswirtschaft und Familie |
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Sammlungen: | Universitätspublikationen |
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Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |
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