Zobrazeno 1 - 10
of 550
pro vyhledávání: '"ZHANG Tianliang"'
Autor:
ZHOU Yalin, ZHUANG Maoqiang, TIAN Xinyu, CHU Zunhua, ZHANG Tianliang, ZHAO Jinshan, WANG Liansen, MA Jixiang
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 35, Iss 6, Pp 934-939 (2023)
ObjectiveTo analyze the epidemiological characteristics of foodborne disease outbreaks on campus in Shandong Province as a reference basis for effective prevention and control of foodborne diseases on campus.MethodsThe surveillance data of foodborne
Externí odkaz:
https://doaj.org/article/da888e2d56d04fb6a887b223300376e0
Publikováno v:
EPJ Applied Metamaterials, Vol 6, p 4 (2019)
In this paper, a new high-gain antenna with beam control based on multilayer non-uniform metasurfaces (MNMSs) is proposed. The MNMS consists of multilayer non-uniform square and ring metal patches array. The phase-shift of the MNMS element can achiev
Externí odkaz:
https://doaj.org/article/15099e27084e4023bd8aba5f15a27744
Recently, density map regression-based methods have dominated in crowd counting owing to their excellent fitting ability on density distribution. However, further improvement tends to saturate mainly because of the confusing background noise and the
Externí odkaz:
http://arxiv.org/abs/2212.05722
Pedestrian detection in the wild remains a challenging problem especially for scenes containing serious occlusion. In this paper, we propose a novel feature learning method in the deep learning framework, referred to as Feature Calibration Network (F
Externí odkaz:
http://arxiv.org/abs/2212.05717
Pedestrian detection in the wild remains a challenging problem especially when the scene contains significant occlusion and/or low resolution of the pedestrians to be detected. Existing methods are unable to adapt to these difficult cases while maint
Externí odkaz:
http://arxiv.org/abs/2212.05691
Autor:
Zhan, Jiawei, Liu, Jun, Tang, Wei, Jiang, Guannan, Wang, Xi, Gao, Bin-Bin, Zhang, Tianliang, Wu, Wenlong, Zhang, Wei, Wang, Chengjie, Xie, Yuan
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia. 2022: 6318-6326
Multi-label image classification, which can be categorized into label-dependency and region-based methods, is a challenging problem due to the complex underlying object layouts. Although region-based methods are less likely to encounter issues with m
Externí odkaz:
http://arxiv.org/abs/2211.12716
In this paper, the problem of non-fragile finite-time stabilization for linear discrete mean-field stochastic systems is studied. The uncertain characteristics in control parameters are assumed to be random satisfying the Bernoulli distribution. A ne
Externí odkaz:
http://arxiv.org/abs/2208.01414
Autor:
Zhang, Tianliang, Xu, Shengyuan
In this paper, a control scheme for stochastic predefined-time stabilization is proposed, which improves the control effect compared with stochastic finite-time or fixed-time stabilization. The stochastic predefined-time stabilization allows the uppe
Externí odkaz:
http://arxiv.org/abs/2205.04647
Autor:
Zhang, Jing, Peng, Zhen, Cheng, Dong, Yao, Wenhuan, Li, Hui, Zhang, Qi, Guo, Ruisen, Li, Kunyan, Zou, Longrui, Wang, Jia-Sheng, Jia, Qiang, Zhang, Tianliang, Zhou, Jun
Publikováno v:
In Toxicon 6 November 2024 250
Publikováno v:
In Environmental Pollution 1 October 2024 358