Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Tu, Junyi"'
Autor:
You, Yuncheng, Tu, Junyi
A new mathematical model of memristive neural networks described by the partly diffusive reaction-diffusion equations with weak synaptic coupling is proposed and investigated. Under rather general conditions it is proved that there exists an absorbin
Externí odkaz:
http://arxiv.org/abs/2307.12207
A new mathematical model of neural networks described by diffusive FitzHugh-Nagumo equations with memristors and linear synaptic coupling is proposed and investigated. The existence of absorbing set for the solution semiflow in the energy space is pr
Externí odkaz:
http://arxiv.org/abs/2303.10267
Autor:
Ma, Runpu, Li, Yuting, Wei, Yi, Zhou, Juanjuan, Ma, Jinya, Zhang, Mengke, Tu, Junyi, Jiang, Jinhong, Xie, Sitao, Tan, Weihong, Liu, Xiangsheng
Publikováno v:
In Nano Today August 2024 57
Autor:
Tu, Junyi, Rosen, Paul
Enhancement is an important step in post-processing digital images for personal use, in medical imaging, and for object recognition. Most existing manual techniques rely on region selection, similarity, and/or thresholding for editing, never really c
Externí odkaz:
http://arxiv.org/abs/1909.01456
Publikováno v:
Advances in Visual Computing. ISVC 2019. Lecture Notes in Computer Science, vol 11844. Springer, Cham
With the popularization of Topological Data Analysis, the Reeb graph has found new applications as a summarization technique in the analysis and visualization of large and complex data, whose usefulness extends beyond just the graph itself. Pairing c
Externí odkaz:
http://arxiv.org/abs/1909.01513
Assessing the quality of 3D printed models before they are printed remains a challeng- ing problem, particularly when considering point cloud-based models. This paper introduces an approach to quality assessment, which uses techniques from the field
Externí odkaz:
http://arxiv.org/abs/1807.02921
Akademický článek
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Autor:
Yao, Litao, Wu, Xinghai, Wu, Shuyi, Pan, Xiaoyi, Tu, Junyi, Chen, Mengyu, Al-Bishari, Abdullrahman Mohammed, Al-Baadani, Mohammed A., Yao, Lili, Shen, Xinkun, Liu, Jinsong
Publikováno v:
In Ceramics International 15 December 2019 45(18) Part A:24757-24767
The explicit expression of the flow equations of the noncommutative Kadomtsev-Petviashvili(ncKP) hierarchy is derived. Compared with the flow equations of the KP hierarchy, our result shows that the additional terms in the flow equations of the ncKP
Externí odkaz:
http://arxiv.org/abs/1108.6205
Publikováno v:
In Journal of Differential Equations 1 January 2015 258(1):148-190