Detailed Information

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

Developing A Risk Assessment Protocol For Alien Fishes In Korea Using Machine Learning Algorithms With Domestic And International Data Sets

Full metadata record
DC Field Value Language
dc.contributor.author기서진-
dc.contributor.author정진호-
dc.contributor.author안광국-
dc.date.accessioned2023-08-04T07:45:27Z-
dc.date.available2023-08-04T07:45:27Z-
dc.date.issued2020-12-16-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/60308-
dc.titleDeveloping A Risk Assessment Protocol For Alien Fishes In Korea Using Machine Learning Algorithms With Domestic And International Data Sets-
dc.typeConference-
dc.citation.titleUKC 2020 Proceedings-
dc.citation.conferenceNameThe 33rd US-Korea Conference (UKC) 2020-
dc.citation.conferencePlace미국-
dc.citation.conferencePlace비대면 온라인 발표-
dc.citation.conferenceDate2020-12-14 ~ 2020-12-17-
Files in This Item
There are no files associated with this item.
Appears in
Collections
건설환경공과대학 > 환경공학과 > Conference Papers

qrcode

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

Related Researcher

Researcher Ki, Seo Jin photo

Ki, Seo Jin
건설환경공과대학 (환경공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE