文献
J-GLOBAL ID:202002266438359423
整理番号:20A2787316
深層および機械学習を用いた微量汚染物質を推定するための内部標準の代替【JST・京大機械翻訳】
Replacing the internal standard to estimate micropollutants using deep and machine learning
著者 (6件):
Baek Sang-Soo
(School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea)
,
Choi Younghun
(Graduate School of FEED of Eco-Friendly Offshore Structure, Changwon National University, Changwon, Gyeongsangnamdo, 51140, Republic of Korea)
,
Jeon Junho
(School of Civil, Environmental and Chemical Engineering, Changwon National University, Changwon, Gyeongsangnamdo, 51140, Korea)
,
Pyo JongCheol
(School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea)
,
Park Jongkwan
(School of Civil, Environmental and Chemical Engineering, Changwon National University, Changwon, Gyeongsangnamdo, 51140, Korea)
,
Cho Kyung Hwa
(School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea)
資料名:
Water Research
(Water Research)
巻:
188
ページ:
Null
発行年:
2021年
JST資料番号:
B0760A
ISSN:
0043-1354
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)