Zobrazeno 1 - 10
of 416
pro vyhledávání: '"Wang, Wenyong"'
As a hot topic in recent years, the ability of pedestrians identification based on radar micro-Doppler signatures is limited by the lack of adequate training data. In this paper, we propose a data-enhanced multi-characteristic learning (DEMCL) model
Externí odkaz:
http://arxiv.org/abs/2306.08303
Flow field segmentation and classification help researchers to understand vortex structure and thus turbulent flow. Existing deep learning methods mainly based on global information and focused on 2D circumstance. Based on flow field theory, we propo
Externí odkaz:
http://arxiv.org/abs/2305.11884
In recent network architectures, multi-MEC cooperative caching has been introduced to reduce the transmission latency of VR videos, in which MEC servers' computing and caching capability are utilized to optimize the transmission process. However, man
Externí odkaz:
http://arxiv.org/abs/2303.04626
In the absence of artificial labels, the independent and dependent features in the data are cluttered. How to construct the inductive biases of the model to flexibly divide and effectively contain features with different complexity is the main focal
Externí odkaz:
http://arxiv.org/abs/2210.08794
Autor:
Wang, Wenyong1 (AUTHOR), Cai, Yuanzheng2 (AUTHOR) yuanzheng_cai@mju.edu.cn, Luo, Zhiming3 (AUTHOR), Liu, Wei4 (AUTHOR), Wang, Tao2 (AUTHOR), Li, Zuoyong2 (AUTHOR)
Publikováno v:
Remote Sensing. Jul2024, Vol. 16 Issue 13, p2496. 21p.
Geometrical shape of airfoils, together with the corresponding flight conditions, are crucial factors for aerodynamic performances prediction. The obtained airfoils geometrical features in most existing approaches (e.g., geometrical parameters extrac
Externí odkaz:
http://arxiv.org/abs/2206.12254
The identification of pedestrians using radar micro-Doppler signatures has become a hot topic in recent years. In this paper, we propose a multi-characteristic learning (MCL) model with clusters to jointly learn discrepant pedestrian micro-Doppler si
Externí odkaz:
http://arxiv.org/abs/2203.12236
Autor:
ZunyuanWang, ShuWang, Chai, Jiazhe, Chi, Xinglong, Ying, Jiaxun, Kang, Youkun, Pan, Youlu, Zeng, Shenxin, Ma, Zhen, Wang, Wenyong, Huang, Wenhai
Publikováno v:
In Arabian Journal of Chemistry September 2024 17(9)
Publikováno v:
In Renewable Energy September 2024 230
Publikováno v:
In Expert Systems With Applications 1 October 2024 251