Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Guo Xiaoxu"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 4, Pp 644-653 (2023)
In the large-scale satellite constellation technology, the establishment of satellite internal network is the top priority. As the network capacity of the constellation continues to expand and the number of satellite nodes continues to increase, the
Externí odkaz:
https://doaj.org/article/2d838f106e89415f9d93e8be4b848034
Publikováno v:
Electronics Letters, Vol 59, Iss 20, Pp n/a-n/a (2023)
Abstract A low‐complexity anti‐multipath interference spread spectrum communication system is proposed to address shortcomings in traditional anti‐multipath technology, such as complex structures and high resource consumption. The system utiliz
Externí odkaz:
https://doaj.org/article/ee9db06230d645b9b8385ba670934601
Publikováno v:
Electronics Letters, Vol 59, Iss 13, Pp n/a-n/a (2023)
Abstract Aiming at the problems of high system cost, complex ranging process, low ranging accuracy, and limited measurement distance in commonly used methods for ground fixed point distance measurement journals, a variable frequency microwave ranging
Externí odkaz:
https://doaj.org/article/0812fe0cc58645968ebe3a480c055ab4
Publikováno v:
In Applied Soft Computing September 2024 163
Autor:
Xiang, Wenting, Tang, Min, Zhu, Wenhui, Chai, Jingheng, Wu, Qi, Zhang, Zihan, Guo, Xiaoxu, Yang, Zheng, Yan, Yongke, Geng, Liwei D.
Publikováno v:
Journal of Applied Physics; 8/7/2024, Vol. 136 Issue 5, p1-11, 11p
Publikováno v:
In Expert Systems With Applications 15 August 2024 248
Publikováno v:
In Information Sciences July 2024 675
A quasi-spin Ising model of ferroelastic phase transition is developed and employed to perform atomic-scale Monte Carlo simulation of thermoelastic martensitic transformation. The quasi-spin variable associated with the lattice sites characterizes th
Externí odkaz:
http://arxiv.org/abs/1912.10295
Autor:
Huang, Yunyou, Wang, Nana, Gao, Wanling, Guo, Xiaoxu, Huang, Cheng, Hao, Tianshu, Zhan, Jianfeng
Accurate day-ahead individual residential load forecasting is of great importance to various applications of smart grid on day-ahead market. Deep learning, as a powerful machine learning technology, has shown great advantages and promising applicatio
Externí odkaz:
http://arxiv.org/abs/1908.00298