ETRI-Knowledge Sharing Plaform

KOREAN

BROWSE

Titles

Home Titles Articles

논문 검색
Type		SCI
Year	~	Keyword

Detail

List

Journal Article 양돈시설 CH4 배출 예측에 적합한 머신러닝 비교 및 평가

Cited - time in scopus

scopus

Share

Authors: 민경원, 김락우, 박대헌, 김준규, 안수빈, 이선형, 김찬민, 석희웅

Issue Date: 2025-10

Citation: 생물환경조절학회지, v.34, no.4, pp.604-618

ISSN: 1229-4675

Publisher: (사) 한국생물환경조절학회

Language: Korean

Type: Journal Article

DOI: https://dx.doi.org/10.12791/KSBEC.2025.34.4.604

Copyright Policy Privacy Policy

ETRI

218 Gajeong-ro, Yuseong-gu, Daejeon, 34129, KOREA, Contact: sh.kim@etri.re.kr

2016 Electronics and Telecommunications Research Institute. All rights reserved.

Please refrain from automatic collection of e-mail addresses posted on this homepage.