Zobrazeno 1 - 10
of 3 046
pro vyhledávání: '"Zhao, Ran"'
Majority of deep learning methods utilize vanilla convolution for enhancing underwater images. While vanilla convolution excels in capturing local features and learning the spatial hierarchical structure of images, it tends to smooth input images, wh
Externí odkaz:
http://arxiv.org/abs/2409.19269
In underwater image enhancement (UIE), convolutional neural networks (CNN) have inherent limitations in modeling long-range dependencies and are less effective in recovering global features. While Transformers excel at modeling long-range dependencie
Externí odkaz:
http://arxiv.org/abs/2407.19248
Autor:
Liang, Zhen, Wu, Taoran, Zhao, Ran, Xue, Bai, Wang, Ji, Yang, Wenjing, Deng, Shaojun, Liu, Wanwei
Recently, formal verification of deep neural networks (DNNs) has garnered considerable attention, and over-approximation based methods have become popular due to their effectiveness and efficiency. However, these strategies face challenges in address
Externí odkaz:
http://arxiv.org/abs/2401.12550
Matrix factor model is drawing growing attention for simultaneous two-way dimension reduction of well-structured matrix-valued observations. This paper focuses on robust statistical inference for matrix factor model in the ``diverging dimension" regi
Externí odkaz:
http://arxiv.org/abs/2306.03317
The matrix factor model has drawn growing attention for its advantage in achieving two-directional dimension reduction simultaneously for matrix-structured observations. In this paper, we propose a simple iterative least squares algorithm for matrix
Externí odkaz:
http://arxiv.org/abs/2301.00360
A characteristic mode (CM) method that relies on a global multi-trace formulation (MTF) of surface integral equations is proposed to compute the modes and the resonance frequencies of microstrip patch antennas with finite dielectric substrates and gr
Externí odkaz:
http://arxiv.org/abs/2212.11707
Publikováno v:
Feed Research. 2024, Vol. 47 Issue 17, p102-108. 7p.
A coupled hybridizable discontinuous Galerkin (HDG) and boundary integral (BI) method is proposed to efficiently analyze electromagnetic scattering from inhomogeneous/composite objects. The coupling between the HDG and the BI equations is realized us
Externí odkaz:
http://arxiv.org/abs/2210.04892
Autor:
Wang, Haiquan, Su, Menghao, Zhao, Ran, Xu, Xiaobin, Haasis, Hans-Dietrich, Wei, Jianhua, Wen, Shengjun, Wang, Yan, Liu, Ping, Li, Hongjun
Due to the rapid increase of air cargo and postal transport volume, an efficient automated multi-dimensional warehouse with elevating transfer vehicles (ETVs) should be established and an effective scheduling strategy should be designed for improving
Externí odkaz:
http://arxiv.org/abs/2207.11651
Simulations support the conjecture that the dimension of the trace of Brownian earthworm is strictly greater than 3/2.
Externí odkaz:
http://arxiv.org/abs/2207.11625