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Temirlan Bidzhiev,Dmitry Namiot
Pág. 21 - 31
In recent years, neural networks have shown their potential as a new paradigm for solving problems in the field of information technology. They have shown their effectiveness in many areas, but training neural networks is expensive in terms of computing ...
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Huifang Pan and Qi Zhu
In this paper, to maximize the energy efficiency (EE) in the two-hop multi-relay cooperative decoding and forwarding (DF) system for simultaneous wireless information and power transmission (SWIPT), an optimal power allocation algorithm is proposed, in w...
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Ahmed Khater, Dong Luo, Moustafa Abdelsalam, Yanchao Yue, Yueqin Hou and Mohamed Ghazy
Moisture damage and low-temperature cracking are common distresses experienced by road pavement. Different types of modifiers, such as fibers, can be used to improve the quality of asphalt pavements. In this paper, lignin and glass fiber were selected as...
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Yang Chen, Masao Yamagishi and Isao Yamada
This paper proposes a new group-sparsity-inducing regularizer to approximate l2,0
l
2
,
0
pseudo-norm. The regularizer is nonconvex, which can be seen as a linearly involved generalized Moreau enhancement of l2,1
l
2
,
1
-norm. Moreover, the overall con...
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Vladimir Zalesny, Valeriy Agoshkov, Victor Shutyaev, Eugene Parmuzin and Natalia Zakharova
The technology is presented for modeling and prediction of marine hydrophysical fields based on the 4D variational data assimilation technique developed at the Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences (INM RAS). The technol...
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