文献
J-GLOBAL ID:202102225967541481
整理番号:21A2171810
ナノ流体粘度評価のための機械学習モデルの比較分析【JST・京大機械翻訳】
Comparative Analysis of Machine Learning Models for Nanofluids Viscosity Assessment
著者 (11件):
Shateri Mohammadhadi
(Department of Electrical & Computer Engineering, McGill University, Montreal, QC H3A 2K6, Canada)
,
Sobhanigavgani Zeinab
(Department of Electrical & Computer Engineering, McGill University, Montreal, QC H3A 2K6, Canada)
,
Alinasab Azin
(Department of Electrical & Computer Engineering, McGill University, Montreal, QC H3A 2K6, Canada)
,
Varamesh Amir
(Department of Chemical & Petroleum Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada)
,
Hemmati-Sarapardeh Abdolhossein
(Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Kerman 7616913439, Iran)
,
Hemmati-Sarapardeh Abdolhossein
(College of Construction Engineering, Jilin University, Changchun 130600, China)
,
Mosavi Amir
(Faculty of Civil Engineering, Technische Universitaet Dresden, 01069 Dresden, Germany)
,
Mosavi Amir
(School of Economics and Business, Norwegian University of Life Sciences, 1430 Ås, Norway)
,
Mosavi Amir
(Institute of Automation, Kando Kalman Faculty of Electrical Engineering, Obuda University, 1034 Budapest, Hungary)
,
S Shahab
(Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam)
,
S Shahab
(Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan)
資料名:
Nanomaterials (Web)
(Nanomaterials (Web))
巻:
10
号:
9
ページ:
1767
発行年:
2020年
JST資料番号:
U7252A
ISSN:
2079-4991
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)