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Ruitao Wu, Xiang Zhang, Runtao Wang and Haipeng Wang
Protein and peptide identification based on tandem mass spectrometry is a pillar technology in proteomics research. In recent years, increasing numbers of researchers have utilized deep learning to tackle challenges in proteomics. For example, catalyzed ...
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Diego Granziol, Binxin Ru, Xiaowen Dong, Stefan Zohren, Michael Osborne and Stephen Roberts
We propose an alternative maximum entropy approach to learning the spectra of massive graphs. In contrast to state-of-the-art Lanczos algorithm for spectral density estimation and applications thereof, our approach does not require kernel smoothing. As t...
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Fan Yang, Zhongbin Li, Jianguo Fu, Yuting Lv, Qingwei Ji and Hongfu Jian
The internal flow in a vertical axial-flow pump is a complex unsteady three-dimensional viscous flow. An unstable flow often produces complex flow phenomena such as flow separation, vortices, and secondary reflux, which reduces the operating efficiency o...
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Peiran Li, Xin Wen, Mohong Zheng, Haiying Liu, Dizhi Long and Yuping Lu
The attitude tracking synchronization control of an orbit-predetermined leader?follower spacecraft swarm for the space moving target is discussed in this paper. The information exchange between all spacecraft is assumed to be discrete in time and on the ...
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Sergey Kurapov,Maxim Davidovsky
Pág. 1 - 8
In general, a universal algorithm for testing a pair of graphs G and H for isomorphism exists. It is grounded on the fact that the rows and the corresponding columns of the adjacency matrix of the graph G can be rearranged until it turns into another, eq...
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Tiffany Fan, David I. Shuman, Shashanka Ubaru and Yousef Saad
We propose and investigate two new methods to approximate ??(??)??
f
(
A
)
b
for large, sparse, Hermitian matrices ??
A
. Computations of this form play an important role in numerous signal processing and machine learning tasks. The main idea behind bot...
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Mario Coutino, Sundeep Prabhakar Chepuri, Takanori Maehara and Geert Leus
To analyze and synthesize signals on networks or graphs, Fourier theory has been extended to irregular domains, leading to a so-called graph Fourier transform. Unfortunately, different from the traditional Fourier transform, each graph exhibits a differe...
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