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

이연창

Lee, Yeon-Chang
Data 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 KO -
dc.citation.title 2025 한국소프트웨어종합학술대회 (KSC2025) -
dc.contributor.author Lee, Won-June -
dc.contributor.author Kang, Dae-Hee -
dc.contributor.author Kim, Kwang-Ju -
dc.contributor.author Lee, Yeon-Chang -
dc.date.accessioned 2025-12-03T16:23:51Z -
dc.date.available 2025-12-03T16:23:51Z -
dc.date.created 2025-12-03 -
dc.date.issued 2025-12-17 -
dc.identifier.bibliographicCitation 2025 한국소프트웨어종합학술대회 (KSC2025) -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/88873 -
dc.publisher 한국정보과학회 -
dc.title 상수도관 누수 탐지를 위한 머신러닝 및 딥러닝 기법 비교 연구 -
dc.type Conference Paper -
dc.date.conferenceDate 2025-12-16 -

qrcode

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