文献
J-GLOBAL ID:202002286347383093
整理番号:20A2156601
古紙からのメタン生産を最大化するための人工知能の応用【JST・京大機械翻訳】
Application of artificial intelligence to maximize methane production from waste paper
著者 (11件):
Olabi A.G.
(Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, UAE)
,
Olabi A.G.
(Center for Advanced Materials Research, University of Sharjah, Sharjah, UAE)
,
Olabi A.G.
(Mechanical Engineering and Design, Aston University, School of Engineering and Applied Science, Birmingham, UK)
,
Nassef Ahmed M.
(College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia)
,
Nassef Ahmed M.
(Computers and Automatic Control Engineering Department, Faculty of Engineering, Tanta University, Tanta, Egypt)
,
Rodriguez Cristina
(School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley, UK)
,
Abdelkareem Mohammad A.
(Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, UAE)
,
Abdelkareem Mohammad A.
(Center for Advanced Materials Research, University of Sharjah, Sharjah, UAE)
,
Abdelkareem Mohammad A.
(Chemical Engineering Department, Faculty of Engineering, Minia University, Minya, Egypt)
,
Rezk Hegazy
(College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia)
,
Rezk Hegazy
(Electrical Engineering Department, Faculty of Engineering, Minia University, Minya, Egypt)
資料名:
International Journal of Energy Research
(International Journal of Energy Research)
巻:
44
号:
12
ページ:
9598-9608
発行年:
2020年
JST資料番号:
A0249B
ISSN:
0363-907X
CODEN:
IJERDN
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)