Zobrazeno 1 - 10
of 1 580
pro vyhledávání: '"Zeng, Yun"'
Autor:
Chen, Zewen, Xu, Sunhan, Zeng, Yun, Guo, Haochen, Guo, Jian, Liu, Shuai, Wang, Juan, Li, Bing, Hu, Weiming, Liu, Dehua, Li, Hesong
With the rising demand for high-resolution (HR) images, No-Reference Image Quality Assessment (NR-IQA) gains more attention, as it can ecaluate image quality in real-time on mobile devices and enhance user experience. However, existing NR-IQA methods
Externí odkaz:
http://arxiv.org/abs/2409.01212
In this paper, we propose a novel adaptive stochastic extended iterative method, which can be viewed as an improved extension of the randomized extended Kaczmarz (REK) method, for finding the unique minimum Euclidean norm least-squares solution of a
Externí odkaz:
http://arxiv.org/abs/2405.19044
Recently, the multi-step inertial randomized Kaczmarz (MIRK) method for solving large-scale linear systems was proposed in [17]. In this paper, we incorporate the greedy probability criterion into the MIRK method, along with the introduction of a tig
Externí odkaz:
http://arxiv.org/abs/2308.00467
The problem of finding a solution to the linear system $Ax = b$ with certain minimization properties arises in numerous scientific and engineering areas. In the era of big data, the stochastic optimization algorithms become increasingly significant d
Externí odkaz:
http://arxiv.org/abs/2307.16702
In this paper, we analyze the greedy randomized Kaczmarz (GRK) method proposed in Bai and Wu (SIAM J. Sci. Comput., 40(1):A592--A606, 2018) for solving linear systems. We develop more precise greedy probability criteria to effectively select the work
Externí odkaz:
http://arxiv.org/abs/2307.01988
The stochastic heavy ball momentum (SHBM) method has gained considerable popularity as a scalable approach for solving large-scale optimization problems. However, one limitation of this method is its reliance on prior knowledge of certain problem par
Externí odkaz:
http://arxiv.org/abs/2305.05482
We investigate the randomized Kaczmarz method that adaptively updates the stepsize using readily available information for solving inconsistent linear systems. A novel geometric interpretation is provided which shows that the proposed method can be v
Externí odkaz:
http://arxiv.org/abs/2301.00176
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 648-57 (2024)
To address the challenges of secure and reliable communication and system quality of service (QoS) prediction in intelligent production lines (IPL) in the Industrial Intelligent Internet of Things (II-IOT) environment, a redundant collaborative secur
Externí odkaz:
https://doaj.org/article/70221a02af6d4a2cbf0c773dbb010f99
Autor:
Tang, Wei, Guo, Juntao, Yang, Fan, Zeng, Linwei, Wang, Xiongsheng, Liu, Wengang, Zhang, Junjie, Zou, Changcheng, Sun, Licheng, Zeng, Yun, Zhang, Zhigang, Fu, Junheng, Zhao, Yang
Publikováno v:
In Applied Thermal Engineering 15 October 2024 255
Autor:
Fu, Jun-Heng, Zhou, Xiangyu, Li, Yi, Wang, Ziling, Cao, Yujie, Sun, Xinlong, Zhao, Boyuan, Feng, Fangrui, Yan, Minglei, Zeng, Yun, Xiao, Jie, Cui, Yuntao, Zhao, Yang
Publikováno v:
In Journal of Alloys and Compounds 5 October 2024 1001