Zobrazeno 1 - 10
of 380
pro vyhledávání: '"ZHOU Xingshe"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 42, Iss 3, Pp 406-416 (2024)
As UAV and swarms applications continue to deepen and become increasingly widespread, UAV payloads have characteristics such as diverse types, heterogeneous forms, and complex interfaces. At the same time, it is required that the system can quickly a
Externí odkaz:
https://doaj.org/article/dc4ef5c1aeaa49b3b4df82608ea1e7f4
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 42, Iss 2, Pp 310-318 (2024)
The existing deep reinforced learning algorithms cannot see local environments and have insufficient perceptual information on UAV autonomous navigation tasks. The paper investigates the UAV's autonomous navigation tasks in its unknown environments b
Externí odkaz:
https://doaj.org/article/e0d14ba87b134773908232a3d6c59b63
Autor:
Tang, Lei, Li, Kangrong, Zhou, Xingshe, Yang, Qiao, Pan, Penghui, Wu, Daowei, Li, Baoxia, Wang, Yanling, Kuang, Nailiang, Zhang, Liaoliao
Publikováno v:
In Microelectronics Journal January 2024 143
Publikováno v:
Jisuanji kexue yu tansuo, Vol 16, Iss 8, Pp 1706-1726 (2022)
Swarm robots are composed of a certain number of physical robots. Through interaction and cooperation, individuals in this kind of system can sprout robust, scalable and flexible swarm intelligence behavior. Behavior modeling of swarm robots is one o
Externí odkaz:
https://doaj.org/article/b90d5be1816642968a1d3c7d5e8fb195
Human behavior recognition has been considered as a core technology that can facilitate variety of applications. However, accurate detection and recognition of human behavior is still a big challenge that attracts a lot of research efforts. Recent ad
Externí odkaz:
http://arxiv.org/abs/1712.00146
Publikováno v:
IET Power Electronics (Wiley-Blackwell); 9/16/2024, Vol. 17 Issue 12, p1607-1619, 13p
Publikováno v:
In Engineering Applications of Artificial Intelligence January 2021 97
The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of
Externí odkaz:
http://arxiv.org/abs/1401.3090
Autor:
Wu, Wenliang1 (AUTHOR) wuwenliang@mail.nwpu.edu.com, Zhou, Xingshe1 (AUTHOR) zhouxs@nwpu.edu.com, Shen, Bo1 (AUTHOR) shen@nwpu.edu.com
Publikováno v:
Connection Science. Dec2022, Vol. 34 Issue 1, p630-651. 22p.
Autor:
Ren, Zhihui, Wang, Zhu, Sun, Zhuo, Guo, Yifan, Song, Wenchao, Zhang, Hualei, Chen, Chao, Guo, Bin, Yu, Zhiwen, Zhou, Xingshe, Zhang, Daqing
Publikováno v:
IEEE Transactions on Mobile Computing; December 2024, Vol. 23 Issue: 12 p13438-13454, 17p