文献
J-GLOBAL ID:202202281246588279
整理番号:22A0946901
ナノろ過プロセスによる汚染水からのPFOS除去の機械学習ベースモデリングと解析【JST・京大機械翻訳】
Machine learning-based modeling and analysis of PFOS removal from contaminated water by nanofiltration process
著者 (6件):
Hosseinzadeh Ahmad
(Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia)
,
Zhou John L.
(Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia)
,
Zyaie Javad
(Chemical Engineering Department, Iran University of Science and Technology, Tehran, Iran)
,
AlZainati Nahawand
(Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia)
,
Ibrar Ibrar
(Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia)
,
Altaee Ali
(Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia)
資料名:
Separation and Purification Technology
(Separation and Purification Technology)
巻:
289
ページ:
Null
発行年:
2022年
JST資料番号:
T0428B
ISSN:
1383-5866
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)