Zobrazeno 1 - 10
of 344
pro vyhledávání: '"SHI Jingping"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 1, Pp 56-64 (2023)
To solve the enemy uncertain manipulation problem during a UAV's autonomous air combat maneuver decision-making, this paper proposes an autonomous air combat maneuver decision-making method that combines target maneuver command prediction with the de
Externí odkaz:
https://doaj.org/article/1d5931f4cbc84ea1ba6fc387662d2a05
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 40, Iss 5, Pp 1039-1045 (2022)
This paper focuses on the aerodynamic characteristics of aircraft close formation flight. The formation model for small unmanned aircraft is studied, and the disturbance of the wake induced velocity generated by the leader aircraft on the tail aircra
Externí odkaz:
https://doaj.org/article/44f4b9dee5ec4f468a4923ccc2cf29f7
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 39, Iss 5, Pp 987-994 (2021)
As far as airborne sensors are concerned, the measurement accuracy is an important indicator that cannot be ignored and may directly affect final measurement results. In order to improve the measurement accuracy of a flush air data sensing (FADS), wh
Externí odkaz:
https://doaj.org/article/a110d450aa0f4c4cb69fd2f1c9c0a1d2
Autor:
Yan, Wei, Ni, Tianyi, Zhang, Qian, Sun, Xiaowei, Xu, Zibo, Li, Xiangyu, Yi, Min, Wang, Yingying, Zhang, Hao, Shi, Jingping, Zhu, Zhechen
Publikováno v:
In International Immunopharmacology 5 December 2024 142 Part A
Publikováno v:
In Aerospace Science and Technology June 2024 149
Publikováno v:
In ISA Transactions March 2024 146:154-164
Few-shot image classification (FSIC), which requires a model to recognize new categories via learning from few images of these categories, has attracted lots of attention. Recently, meta-learning based methods have been shown as a promising direction
Externí odkaz:
http://arxiv.org/abs/2007.08129
Autor:
Qin, Yunxiao, Zhao, Chenxu, Zhu, Xiangyu, Wang, Zezheng, Yu, Zitong, Fu, Tianyu, Zhou, Feng, Shi, Jingping, Lei, Zhen
Publikováno v:
AAAI-2020
Face anti-spoofing is crucial to the security of face recognition systems. Most previous methods formulate face anti-spoofing as a supervised learning problem to detect various predefined presentation attacks, which need large scale training data to
Externí odkaz:
http://arxiv.org/abs/1904.12490
Publikováno v:
In ISA Transactions April 2023 135:35-51
Autor:
Qin, Yunxiao, Zhang, Weiguo, Zhao, Chenxu, Wang, Zezheng, Zhu, Xiangyu, Qi, Guojun, Shi, Jingping, Lei, Zhen
Publikováno v:
knowledge-based systems-2021
Recently, meta-learning has been shown as a promising way to solve few-shot learning. In this paper, inspired by the human cognition process which utilizes both prior-knowledge and vision attention in learning new knowledge, we present a novel paradi
Externí odkaz:
http://arxiv.org/abs/1812.04955