Identification and adulteration detection of Heterotrigona itama and Apis dorsata honey using differential scanning calorimetry and convolutional neural networks with data augmentation.
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| Title: | Identification and adulteration detection of Heterotrigona itama and Apis dorsata honey using differential scanning calorimetry and convolutional neural networks with data augmentation. |
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| Authors: | Hassan NH; Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia,11800 Penang, Malaysia., Chong NS; Department of Chemistry, Middle Tennessee State University, Murfreesboro, TN 37132, United States., Yoon TL; School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia. Electronic address: tlyoon@usm.my., Wong YF; Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia,11800 Penang, Malaysia. Electronic address: wongyongfoo@usm.my. |
| Source: | Food chemistry [Food Chem] 2025 Sep 01; Vol. 485, pp. 144398. Date of Electronic Publication: 2025 Apr 22. |
| Publication Type: | Journal Article; Evaluation Study |
| Journal Info: | Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 7702639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7072 (Electronic) Linking ISSN: 03088146 NLM ISO Abbreviation: Food Chem Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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