Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ruishi, Liang"'
Publikováno v:
Case Studies in Thermal Engineering, Vol 64, Iss , Pp 105348- (2024)
This research aims to increase the heat transfer capacity of a fluid flow over a Riga plate using ( ) hybrid nanoparticles. It will also explain how the hybrid nanofluid behaves in the presence of suction/injection and thermal slip parameters. Furthe
Externí odkaz:
https://doaj.org/article/534642ec107141f696ec62be8dafb8ac
Heavy metal transport with adsorption for instantaneous and exponential attenuation of concentration
Autor:
Ruishi Liang, Z. M. Isa
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Heavy metal pollutant is a serious problem in environmental pollution, and it is very difficult to eradicate once it enters the soil. As heavy metal adsorption has been proven to occur, the heavy metal’s behaviour can be modeled as a trans
Externí odkaz:
https://doaj.org/article/b9a4d00fb4754dec91ed90020087fa90
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:13210-13225
Autor:
Liping Yang, Ruishi Liang
Publikováno v:
Atlantis Highlights in Intelligent Systems ISBN: 9789464630091
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf5fa282f48ffb10a2581f92a6a55a77
https://doi.org/10.2991/978-94-6463-010-7_7
https://doi.org/10.2991/978-94-6463-010-7_7
Publikováno v:
IEEE Systems Journal. 15:3848-3859
Network structure has significant impact on its data transmission and robustness. This article presents a framework to evaluate the structure performance of dynamic networks, with a focus on measuring the topological dynamics and assessing its effect
Publikováno v:
2nd International Conference on Internet of Things and Smart City (IoTSC 2022).
Publikováno v:
2022 International Conference on Machine Learning and Knowledge Engineering (MLKE).
Publikováno v:
IEEE Communications Letters. 23:2168-2171
In this letter, we explore the link-adding method to improve communication robustness of networks. Firstly, a robustness measure called communication robustness (CR) is presented, which not only confirms the global effect of the largest connected com
Publikováno v:
Evolutionary Intelligence; Dec2022, Vol. 15 Issue 4, p2619-2629, 11p
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 23:323-327
Data correlation evaluation is the basis for data analysis, and the academic community has proposed many indicators to evaluate it, such as the Euclidean distance, and angle cosine, and so on. However, it is difficult for these indicators to effectiv