Please use this identifier to cite or link to this item: http://thuvienso.dut.udn.vn/handle/DUT/26029
DC FieldValueLanguage
dc.contributor.advisorTS. Nguyễn, Lê Hòaen_US
dc.contributor.authorNgô, Thanh Thảoen_US
dc.contributor.authorTrần, Hoài Nhã Thien_US
dc.contributor.authorĐặng, Minh Quânen_US
dc.date.accessioned2026-11-07T05:42:02Z-
dc.date.available2026-11-07T05:42:02Z-
dc.date.issued2026-
dc.identifier.urihttp://thuvienso.dut.udn.vn/handle/DUT/26029-
dc.descriptionFA.26.204en_US
dc.language.isoenen_US
dc.publisherTrường Đại học Bách Khoa, Đại học Đà Nẵngen_US
dc.subjectEEG Signal Analysisen_US
dc.subjectWorker Fatigue Detectionen_US
dc.subjectIntelligent Systemen_US
dc.titleDevelopment of an Intelligent Worker Fatigue Detection System Based on Pre- and Post-Work EEG Signal Analysisen_US
dc.typeĐồ ánen_US
item.openairetypeĐồ án-
item.fulltextKhông kèm toàn văn-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
Appears in Collections:Khoa Khoa học Công nghệ tiên tiến - Điện tử Viễn thông
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