Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Weida Xu"'
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11425 (2024)
Dataset distillation has become an important technique for enhancing the efficiency of data when training machine learning models. It finds extensive applications across various fields, including computer vision (CV) and natural language processing (
Externí odkaz:
https://doaj.org/article/fee83108917d47adade7c0ec70677cd9
Publikováno v:
2022 IEEE International Conference on Multimedia and Expo (ICME).
Autor:
Xiaobo Lin, Mengyao Lan, Cong Xu, Wei Pan, Chengda Zhang, Feng Li, Weida Xuan, Minhua Chen, Hu Wang, Mincong Huang
Publikováno v:
Journal of Functional Foods, Vol 107, Iss , Pp 105662- (2023)
Peach gum is a homologous substance of medicine and food, mainly composed of polysaccharides. This study aimed to investigate the effectiveness of Peach gum polysaccharides (PGP) in treatment of ulcerative colitis (UC) and explore its mechanisms. Fir
Externí odkaz:
https://doaj.org/article/f25fae970559419d909ac1a758e3f2d5
Autor:
Tianyuan Xiao, Weida Xu
Publikováno v:
Tsinghua Science and Technology. 16:308-314
Assembly line balancing involves assigning a series of task elements to uniform sequential stations with certain restrictions. Decision makers often discover that a task assignment which is optimal with respect to a deterministic or stochastic/fuzzy
Publikováno v:
Simulation Modelling Practice and Theory. 18:1069-1079
In order to avoid undesirable idling or fuss of the manufacturing resources, the assembly workshop’s scheduler evaluates the effect of different online sequence of parts on production cycle, balances workload and utilization ratio, minimizes span o
Autor:
Weida Xu, Tianyuan Xiao
Publikováno v:
COMPEL - The international journal for computation and mathematics in electrical and electronic engineering. 28:1489-1502
PurposeThe purpose of this paper is to introduce robust optimization approaches to balance mixed model assembly lines with uncertain task times and daily model mix changes.Design/methodology/approachScenario planning approach is used to represent the
Publikováno v:
2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics.
Facility location decision is a critical element in strategic planning for a wide range of public sector and business world. Maximal Covering Location Problem (MCLP) is one of the well-known models for facility location problems. Algorithms to optima
Autor:
null Weida Xu, null Tianyuan Xiao
Publikováno v:
2008 Winter Simulation Conference.
Autor:
Xi Xia, Weida Xu, Xinxin Bai, Xiaoguang Rui, Haifeng Wang, Forster, Jan, Yinming Wang, Xihui Zhao, Xiangfu Kong, Tingting Liang
Publikováno v:
ISGT 2014; 2014, p1-5, 5p
Publikováno v:
2013 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia); 2013, p1-5, 5p