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

조경화

Cho, Kyung Hwa
Water-Environmental Informatics 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 2020 대한환경공학회 학술대회 -
dc.contributor.author Hong, Seok Min -
dc.contributor.author Baek, Sang-Soo -
dc.contributor.author Yun, Daeun -
dc.contributor.author Kwon, Yong-Hwan -
dc.contributor.author Pyo, JongCheol -
dc.contributor.author Cho, Kyung Hwa -
dc.date.accessioned 2024-01-31T22:35:59Z -
dc.date.available 2024-01-31T22:35:59Z -
dc.date.created 2021-01-06 -
dc.date.issued 2020-11-13 -
dc.identifier.bibliographicCitation 2020 대한환경공학회 학술대회 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/77892 -
dc.publisher 대한환경공학회 -
dc.title.alternative 드론기반 초분광 이미지와 합성곱 신경망을 이용한 수계 내 유해조류 수직분포 예측 -
dc.title Convolutional neural network for estimating vertical profiles of harmful cyanobacteria using drone-borne hyperspectral image in lake water -
dc.type Conference Paper -
dc.date.conferenceDate 2020-11-11 -

qrcode

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