Zobrazeno 1 - 6
of 6
pro vyhledávání: '"MingShan Yin"'
Publikováno v:
Biotechnology for Biofuels and Bioproducts, Vol 17, Iss 1, Pp 1-9 (2024)
Abstract Oleaginous green microalgae are often mentioned in algae-based biodiesel industry, but most of them belong to specific genus (Chlorella, Scenedesmus, Botryococcus and Desmodesmus). Thus, the microalgal germplasm resources for biodiesel produ
Externí odkaz:
https://doaj.org/article/debf14d83bbd489b9ca391fef7f03c33
Publikováno v:
Soft Computing. 27:2615-2623
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3566217453a1aeed400bc6ed361cb6f
https://doi.org/10.1007/s00500-022-07587-7
https://doi.org/10.1007/s00500-022-07587-7
Publikováno v:
Applied Mathematics and Nonlinear Sciences. 7:1013-1022
Over the past few years, green small towns have gained a lot of attention, which is a significant trend in the construction industry. Beginning with the life cycle of green small towns, this paper analyses their incremental cost and income using math
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed799c0e284b5fc808a92115d7805f3c
https://doi.org/10.2478/amns.2021.2.00211
https://doi.org/10.2478/amns.2021.2.00211
Autor:
YuHan Wang, YongLei Wang, QingLi Lin, MengMeng Yin, MingShan Yin, Jie Liu, WenJuan Chen, Li Jin, YanZhen Han
Publikováno v:
Desalination & Water Treatment; Apr2023, Vol. 290, p1-11, 11p
Publikováno v:
Environmental Progress & Sustainable Energy. 41
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a171327bb997fd3b3ae795d866c23fd8
https://doi.org/10.1002/ep.13838
https://doi.org/10.1002/ep.13838
It is very challenging to propose a strong learning algorithm with high prediction accuracy of cross-media retrieval, while finding a weak learning algorithm which is slightly higher than that of random prediction is very easy. Inspired by this idea,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fea7352eccdb35e81a3c40d09f72f4c4
https://doi.org/10.21203/rs.3.rs-1159198/v1
https://doi.org/10.21203/rs.3.rs-1159198/v1
