Detailed Information

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

음성 거짓말 탐지 수사를 위한 머신러닝 기반 최적의 특징점 선별

Full metadata record
DC Field Value Language
dc.contributor.author김인영-
dc.date.accessioned2021-07-30T08:27:42Z-
dc.date.available2021-07-30T08:27:42Z-
dc.date.issued2020-11-12-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/6929-
dc.title음성 거짓말 탐지 수사를 위한 머신러닝 기반 최적의 특징점 선별-
dc.typeConference-
dc.citation.conferenceName2020대한의용생체공학회추계학술대회-
dc.citation.conferencePlace온라인 학회-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 의과대학 > 서울 의공학교실 > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Kim, In Young photo

Kim, In Young
서울 의과대학 (DEPARTMENT OF BIOMEDICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE