Zobrazeno 1 - 10
of 238
pro vyhledávání: '"Zou, Qingsong"'
Autor:
Xiao, Jingyu, Xu, Zhiyao, Zou, Qingsong, Li, Qing, Zhao, Dan, Fang, Dong, Li, Ruoyu, Tang, Wenxin, Li, Kang, Zuo, Xudong, Hu, Penghui, Jiang, Yong, Weng, Zixuan, Lyv, Michael R.
Smart homes, powered by the Internet of Things, offer great convenience but also pose security concerns due to abnormal behaviors, such as improper operations of users and potential attacks from malicious attackers. Several behavior modeling methods
Externí odkaz:
http://arxiv.org/abs/2406.10928
Autor:
Li, Ruoyu, Li, Qing, Lin, Tao, Zou, Qingsong, Zhao, Dan, Huang, Yucheng, Tyson, Gareth, Xie, Guorui, Jiang, Yong
Device fingerprinting can be used by Internet Service Providers (ISPs) to identify vulnerable IoT devices for early prevention of threats. However, due to the wide deployment of middleboxes in ISP networks, some important data, e.g., 5-tuples and flo
Externí odkaz:
http://arxiv.org/abs/2404.12738
Autor:
Cen, Jianhuan, Zou, Qingsong
In this paper, we introduce the Deep Finite Volume Method (DFVM), an innovative deep learning framework tailored for solving high-order (order \(\geq 2\)) partial differential equations (PDEs). Our approach centers on a novel loss function crafted fr
Externí odkaz:
http://arxiv.org/abs/2305.06863
Currently intelligent diagnosis systems lack the ability of continually learning to diagnose new diseases once deployed, under the condition of preserving old disease knowledge. In particular, updating an intelligent diagnosis system with training da
Externí odkaz:
http://arxiv.org/abs/2304.09042
In this paper, we propose a new adaptive technique, named adaptive trajectories sampling (ATS), which is used to select training points for the numerical solution of partial differential equations (PDEs) with deep learning methods. The key feature of
Externí odkaz:
http://arxiv.org/abs/2303.15704
In this paper, we develop a gradient recovery based linear (GRBL) finite element method (FEM) and a Hessian recovery based linear (HRBL) FEM for second order elliptic equations in non-divergence form. The elliptic equation is casted into a symmetric
Externí odkaz:
http://arxiv.org/abs/2211.04037
In this paper, we analyze two classes of spectral volume (SV) methods for one-dimensional hyperbolic equations with degenerate variable coefficients. The two classes of SV methods are constructed by letting a piecewise $k$-th order ($k\ge 1$ is an ar
Externí odkaz:
http://arxiv.org/abs/2211.04678
Publikováno v:
In Heliyon 15 January 2024 10(1)
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