Please use this identifier to cite or link to this item: http://thuvienso.dut.udn.vn/handle/DUT/16663
DC FieldValueLanguage
dc.contributor.advisorTS. Nguyễn, Năng Hùng Vânen_US
dc.contributor.authorVũ, Thanh Tâmen_US
dc.date.accessioned2025-12-31T12:13:17Z-
dc.date.available2025-12-31T12:13:17Z-
dc.date.issued2025-
dc.identifier.urihttp://thuvienso.dut.udn.vn/handle/DUT/16663-
dc.descriptionDA.TI.25.1489; 79 pages.en_US
dc.description.abstractIntroduction: Chapter 1: Theoretical background. Chapter 2. Proposed methodology. Chapter 3. Application developmenten_US
dc.language.isoenen_US
dc.publisherTrường Đại học Bách Khoa - Đại học Đà Nẵngen_US
dc.subjectDevelop a modelen_US
dc.subjectNutrotional componentsen_US
dc.subjectFood imagesen_US
dc.titleDevelop a model to predict nutrotional components from food imagesen_US
dc.typeĐồ ánen_US
item.languageiso639-1en-
item.fulltextCó toàn văn-
item.cerifentitytypePublications-
item.openairetypeĐồ án-
item.grantfulltextreserved-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Khoa Công nghệ Thông tin - Khoa học dữ liệu và Trí tuệ nhân tạo
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