Zobrazeno 1 - 10
of 507
pro vyhledávání: '"WU, Chunlin"'
Publikováno v:
Engineering, Construction and Architectural Management, 2023, Vol. 31, Issue 8, pp. 3429-3451.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-08-2022-0726
Autor:
Wu, Chunlin1 (AUTHOR), Tian, Qingqing1 (AUTHOR), Wang, Hui1 (AUTHOR), Yang, Weiwei1 (AUTHOR), Liu, Anran1 (AUTHOR), Tang, Jiayang1 (AUTHOR), Nie, Xiaoyan1 (AUTHOR), Pu, Ruiying1 (AUTHOR), Huang, Qin1 (AUTHOR) huangqin1@scszlyy.org.cn
Publikováno v:
Scientific Reports. 11/19/2024, Vol. 14 Issue 1, p1-9. 9p.
Autor:
Wu, Chunlin
This dissertation develops and implements an effective numerical scheme, the inclusion-based boundary element method (iBEM), to investigate the mechanical and multi-physical properties of the composites containing arbitrarily shaped particles. Beside
Publikováno v:
In Mechanics of Materials November 2024 198
Autor:
Wu, Chunlin, Wang, Ziqing, Wei, Zhong, Li, Dexing, Yin, Zhili, Wu, Qin, Chen, Shihan, Gan, Yuqiao, Lian, Mengru, Wang, Zongyuan
Publikováno v:
In Journal of Environmental Chemical Engineering October 2024 12(5)
$\ell_1$ based sparse regularization plays a central role in compressive sensing and image processing. In this paper, we propose $\ell_1$DecNet, as an unfolded network derived from a variational decomposition model incorporating $\ell_1$ related spar
Externí odkaz:
http://arxiv.org/abs/2203.02690
Publikováno v:
In Journal of Environmental Management May 2024 359
Thermomechanical modeling of functionally graded materials based on bimaterial fundamental solutions
Publikováno v:
In International Journal of Engineering Science 1 May 2024 198
For nonconvex and nonsmooth restoration models, the lower bound theory reveals their good edge recovery ability, and related analysis can help to design convergent algorithms. Existing such discussions are focused on isotropic regularization models,
Externí odkaz:
http://arxiv.org/abs/2105.10703
In this paper, we propose a fast method for simultaneous reconstruction and segmentation (SRS) in X-ray computed tomography (CT). Our work is based on the SRS model where Bayes' rule and the maximum a posteriori (MAP) are used on hidden Markov measur
Externí odkaz:
http://arxiv.org/abs/2102.00250