12   Artículos

 
en línea
Rui Yang, Yingbo Zhao and Yuan Shi    
When radar receives target echoes to form plots, it is inevitably affected by clutter, which brings a lot of imprecise and uncertain information to target recognition. Traditional radar plot recognition algorithms often have poor performance in dealing w... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zhiwu Chen, Wenjing Wang, QingE Wu, Yingbo Lu, Lintao Zhou and Hu Chen    
In order to solve the problem that steel surface defects are easily covered or submerged by other objects or noise, this paper proposes an open?closed transformation algorithm which can eliminate or weaken multiple noises. In the case of a small number o... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Qinge Wu, Zhichao Song, Hu Chen, Yingbo Lu and Lintao Zhou    
Crack identification plays a vital role in preventive maintenance strategies during highway pavement maintenance. Therefore, accurate identification of cracks in highway pavement images is the key to highway maintenance work. In this paper, an improved U... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yingbo Ji, Lin Qi, Yan Liu, Xinnan Liu, Hong Xian Li and Yan Li    
Prefabricated construction has been widely accepted as an alternative to conventional cast-in-situ construction, given its improved performance. However, prefabricated concrete building projects frequently encounter significant delays. It is, therefore, ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Longjie Zhang, Min Ning, Yingbo Xu, Chenghui Wang, Guangshan Zhao, Qingqing Cao and Jinsong Zhang    
The present study investigated the influence of the cigarette smoke extract (CSE) on mammalian thioredoxin reductase (TrxR) activity. TrxR is a selenoenzyme with a selenocysteine (Sec) residue exposed on the enzyme?s surface. This unique Sec residue is p... ver más

 
en línea
Xiangke Liao,Shaoliang Peng,Yutong Lu,Yingbo Cui,Chengkun Wu,Heng Wang,Jiajun Wen     Pág. 73 - 83
The growing velocity of biological big data is way beyond Moore's Law of compute power growth. The amount of genomic data has been explosively accumulating, which calls for an enormous amount of computing power, while current computation methods cannot s... ver más
Revista: Supercomputing Frontiers and Innovations    Formato: Electrónico

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