Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Yunfeng Qian"'
Autor:
Yunfeng Qian, Jianyu Yang, Weijun Yang, Ali H. Alateah, Ali Alsubeai, Abdulgafor M. Alfares, Muhammad Sufian
Publikováno v:
Buildings, Vol 14, Iss 9, p 2675 (2024)
In today’s digital age, innovative artificial intelligence (AI) methodologies, notably machine learning (ML) approaches, are increasingly favored for their superior accuracy in anticipating the characteristics of cementitious composites compared to
Externí odkaz:
https://doaj.org/article/29e8dda880e34c418e04af670bd88f8f
Autor:
Tianlong Li, Pengxiao Jiang, Yunfeng Qian, Jianyu Yang, Ali H. AlAteah, Ali Alsubeai, Abdulgafor M. Alfares, Muhammad Sufian
Publikováno v:
Buildings, Vol 14, Iss 9, p 2693 (2024)
This research provides a comparative analysis of the optimization of ultra-high-performance concrete (UHPC) using artificial neural network (ANN) and response surface methodology (RSM). By using ANN and RSM, the yield of UHPC was modeled and optimize
Externí odkaz:
https://doaj.org/article/3c6f56604a614f488533fe47c7f2b0ad
Publikováno v:
Developments in the Built Environment, Vol 16, Iss , Pp 100274- (2023)
The self-healing capability and susceptibility to salt solution erosion in ultra-high-performance concrete (UHPC) significantly influence the mechanical properties and long-term durability of concrete structures within coastal or underground environm
Externí odkaz:
https://doaj.org/article/8272a7c384a548309955ed8ae9049e3c
Autor:
Guangning Yan, Yangfan Lv, Xuwen Lai, Zhenlian Li, Danli Ye, Wei Wang, Yunfeng Qian, Haojie Yu, Zhuocai Wang
Publikováno v:
Polish Journal of Pathology, Vol 73, Iss 4, Pp 343-351 (2023)
Osteosarcoma (OS) is the most common malignant bone tumour; however, the underlying mechanisms are mainly unknown. Enhancer of zeste homologue 2 (EZH2) and NOTCH pathway are important molecular signals related to carcinogenesis and tumour progression
Externí odkaz:
https://doaj.org/article/e1250a338b73497baf40dd5998ef4969
Publikováno v:
Frontiers in Materials, Vol 9 (2023)
The effect of various parameters on the flexural strength (FS) of ultra-high-performance concrete (UHPC) is an intricate mechanism due to the involvement of several inter-dependent raw ingredients. In this digital era, novel artificial intelligence (
Externí odkaz:
https://doaj.org/article/f64cc85cce4249cbbf5e5c92a443b8bb
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0278161 (2022)
The estimation of concrete characteristics through artificial intelligence techniques is come out to be an effective way in the construction sector in terms of time and cost conservation. The manufacturing of Ultra-High-Performance Concrete (UHPC) is
Externí odkaz:
https://doaj.org/article/2827b669ca2946db8bf3a3b177257123
Publikováno v:
Buildings, Vol 11, Iss 9, p 416 (2021)
Ultra-high performance concrete (UHPC) has a high self-healing capacity and is prone to bursting after exposure to high temperatures due to its characteristics. This work evaluates the damage and improvement of UHPC with coarse aggregates through mec
Externí odkaz:
https://doaj.org/article/613e6b5697fc47b2a316630606438ed8
Autor:
Guangning Yan, Yangfan Lv, Xuwen Lai, Zhenlian Li, Danli Ye, Wei Wang, Yunfeng Qian, Haojie Yu, Zhuocai Wang
Publikováno v:
Polish Journal of Pathology. 73:343-351
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53dbfaf2fb143beae6b0ecc5e295bf46
https://doi.org/10.5114/pjp.2022.125534
https://doi.org/10.5114/pjp.2022.125534
Autor:
Dongwei Huang, Xueni Wang, Yunfeng Qian, Jun Wu, Binzhuan Chen, Deming Zhang, Fengying Dong, Yongqiang Li
Publikováno v:
Cellular Immunology. 386:104706
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::338a0bc049342474dece0f7c79307f68
https://doi.org/10.1016/j.cellimm.2023.104706
https://doi.org/10.1016/j.cellimm.2023.104706
Publikováno v:
Construction and Building Materials. 364:129925
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51f010c4dae57e2359416adc600004f4
https://doi.org/10.1016/j.conbuildmat.2022.129925
https://doi.org/10.1016/j.conbuildmat.2022.129925