Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Deep Residual Convolutional Neural Network 기반 눈 개폐 분류 방법

Full metadata record
DC Field Value Language
dc.contributor.author박강령-
dc.contributor.author김기완-
dc.date.accessioned2025-09-09T07:35:16Z-
dc.date.available2025-09-09T07:35:16Z-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/60015-
dc.titleDeep Residual Convolutional Neural Network 기반 눈 개폐 분류 방법-
dc.title.alternativeTHE METHOD FOR CLASSIFYING OPEN AND CLOSE EYES BASED ON DEEP RESIDUAL CONVOLUTIONAL NEURAL NETWORK-
dc.typePatent-
dc.publisher.location대한민국-
dc.contributor.assignee동국대학교산학협력단-
dc.date.application2017-06-30-
dc.date.registration2018-09-21-
dc.type.iprs특허-
dc.identifier.patentRegistrationNumber10-1903437-
dc.identifier.patentApplicationNumber10-2017-0083250-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Electronics and Electrical Engineering > 4. Patents

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Park, Gang Ryung photo

Park, Gang Ryung
College of Engineering (Department of Electronics and Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE