Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Weishen Chu"'
Publikováno v:
Applied Mathematical Modelling. 115:754-777
Publikováno v:
Computer Modeling in Engineering & Sciences. 131:1063-1081
Autor:
Di Wang, Cong Wang, Fei Gao, Yutong Wu, Hao Tang, Weishen Chu, Peng Xu, Chunming Niu, Han Yang, Xiangan Yue, Zhenyu Wang, Yi Zhang, Zhoulu Wang, Jinghui Ren, Xiang Liu, Shupei Liu, Decheng Zhao
Publikováno v:
ACS Applied Materials & Interfaces. 13:55020-55028
Sodium-ion batteries (SIBs) are promising candidates for large-scale energy storage systems due to the abundance and wide distribution of sodium resources. Various solutions have been successfully applied to revolve the large-ion-size-induced battery
Publikováno v:
IEEE Transactions on Components, Packaging and Manufacturing Technology. 11:1435-1441
Machine learning (ML) is widely used for building data-driven models that are highly useful for optimization. In this study, a finite element model-based adaptive ML method is presented for chip package reliability prediction and design optimization.
Autor:
Bingli Zhang, Yangyang Zhang, Jin Cheng, Chengbiao Zhang, Weishen Chu, Zehao Pan, Jinfeng Zhu
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. :095440622311634
A path-following control method based on dual heuristic programming (DHP) is proposed to address the problem whereby unmanned articulated vehicles need to set different controller parameters to track complex routes and cannot adapt to complex routes.
Publikováno v:
Kybernetes.
PurposeThe purpose of this study is to analyze the short-term development pattern and long-term development trend of the digital supply chain.Design/methodology/approachThis study uses the combination of short-term game and long-term evolutionary gam
Autor:
Hongyu Wu, Weishen Chu
Publikováno v:
2021 6th International Conference on Integrated Circuits and Microsystems (ICICM).
Publikováno v:
2021 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA).
Autor:
Weishen Chu, Zeqing Wu
Publikováno v:
2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE).
With the development of the Internet of things (IoT), energy consumption of smart buildings has been widely concerned. The prediction of building energy consumption is of great significance for energy conservation and environmental protection as well
Publikováno v:
Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability.
Low-pressure chemical vapor deposition (LPCVD) is the most efficient method to synthesize large-scale, high-quality graphene for many potential applications such as flexible electronics, solar cells, and separation membranes. The quality of LPCVD is