Please use this identifier to cite or link to this item: http://thuvienso.dut.udn.vn/handle/DUT/5450
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dc.contributor.advisorTS. Nguyễn, Quang Như Quỳnhen_US
dc.contributor.advisorProf. Wen-Nung Lieen_US
dc.contributor.authorTrần, Văn Longen_US
dc.date.accessioned2025-02-12T09:20:17Z-
dc.date.available2025-02-12T09:20:17Z-
dc.date.issued2024-
dc.identifier.urihttp://thuvienso.dut.udn.vn/handle/DUT/5450-
dc.description63 Tr.en_US
dc.description.abstractIn this project, we propose two approaches and talk about our ideas for each achievement, as well as the advantages and disadvantages of them. For the first approach, we want to modify the architecture of an existing text-to-image model and to make our own (text and image)-to-image version and then train it from scratch. Although the results of this approach are not yet satisfied, there is more potential and future work to be addressed. Meanwhile, the second approach is about combining two existing models (text-to-image and image-to-image) to create an early version of a working application to serve our purpose. This proves to be a more feasible way and has already produced acceptable results.en_US
dc.language.isoenen_US
dc.publisherTrường Đại học Bách khoa - Đại học Đà Nẵngen_US
dc.subjectDementiaen_US
dc.subjectElderlyen_US
dc.titleElderly dementia treatment using ai-generated image contenten_US
dc.typeĐồ ánen_US
dc.identifier.id2.DA.FA.24.122-
item.grantfulltextrestricted-
item.languageiso639-1en-
item.fulltextCó toàn văn-
item.openairetypeĐồ án-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:DA.Điện tử - Viễn thông
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