Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Longsheng, Cheng"'
Autor:
Yasmeen, Humaira, Longsheng, Cheng
Publikováno v:
In Journal of Cleaner Production 20 October 2024 477
Publikováno v:
In Resources Policy October 2023 86 Part B
Autor:
Hailong Zhang, Ting Qu, Hairong Wang, Weixing Wu, Fangfang Lu, Jiguang Ou, Genmin Zhu, Liangjun Gao, Longsheng Cheng
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Janus nanoparticles have aroused the interest of scholars because of their highly efficient emulsification of spilled oils in wastewater. In this work, interfacially active Janus hollow glass microparticles (J-HGMPs) of asymmetric wettabilit
Externí odkaz:
https://doaj.org/article/27a2bd9eceec4647b25a7c26dd329f5c
Autor:
Qifeng, Yao1 (AUTHOR), Longsheng, Cheng1 (AUTHOR) cheng_longsheng@njust.edu.cn, Naeem, Muhammad Tariq2 (AUTHOR)
Publikováno v:
PLoS ONE. 2/7/2024, Vol. 19 Issue 2, p1-19. 19p.
Publikováno v:
In Resources Policy May 2023 82
Publikováno v:
Mathematics, Vol 12, Iss 4, p 605 (2024)
Entropy measures the randomness or uncertainty of a stochastic process, and the entropy rate refers to the limit of the time average of entropy. The generalized entropy rate in the form of delayed averages can overcome the redundancy of initial infor
Externí odkaz:
https://doaj.org/article/9e794655709a4807a66433cd3d3c1b2a
Publikováno v:
In Renewable Energy August 2022 195:1438-1453
Autor:
Shah, Syed Ahsan Ali, Longsheng, Cheng
Publikováno v:
In Sustainable Energy Technologies and Assessments June 2022 51
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 1, Pp 1-9 (2022)
Wind farms are usually located in plateau mountains and northern coastal areas, bringing a high probability of blade icing. Blade icing even leads to blade cracks and turbine collapse. Traditional methods of blade icing diagnosis increase operating c
Externí odkaz:
https://doaj.org/article/b0a0e81d285e45f2b05cd97ce113436d
Publikováno v:
Cogent Engineering, Vol 9, Iss 1 (2022)
Although machine learning for quality prediction of manufacturing processes has attracted attention in the literature, there is a significant lack of case studies from industry, especially in medical sector. This paper proposes a data-driven approach
Externí odkaz:
https://doaj.org/article/00998617a53b4c148a1becef96a62023