File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

임성훈

Lim, Sunghoon
Industrial Intelligence Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace US -
dc.citation.title IISE Annual Conference & Expo 2022 -
dc.contributor.author Ku, Minjoo -
dc.contributor.author Kim, Gyeongho -
dc.contributor.author Lim, Sunghoon -
dc.date.accessioned 2024-01-31T20:36:02Z -
dc.date.available 2024-01-31T20:36:02Z -
dc.date.created 2022-05-23 -
dc.date.issued 2022-05-22 -
dc.identifier.bibliographicCitation IISE Annual Conference & Expo 2022 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/75920 -
dc.language 영어 -
dc.publisher Institute of Industrial and Systems Engineers -
dc.title Developing a quality level prediction framework with semi-supervised learning and ordinal classification for UV lamps -
dc.type Conference Paper -
dc.date.conferenceDate 2022-05-21 -

qrcode

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