Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Qingping, Tan"'
Publikováno v:
IEEE Access, Vol 7, Pp 147266-147279 (2019)
With the development of integrated circuit design technology, soft errors have become an important threat to system reliability, and software-based fault-tolerant techniques are gradually attracting people's attention. In many cases, researchers use
Externí odkaz:
https://doaj.org/article/e08d49fcf77b4f1dbc355df112336b94
Publikováno v:
In Procedia Computer Science 2017 107:248-255
Autor:
Ping Zeng, Qingping Tan, Xiankai Meng, Zeming Shao, Qinzheng Xie, Ying Yan, Wei Cao, Jianjun Xu
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0175500 (2017)
In this paper, based on our previous multi-pattern uniform resource locator (URL) binary-matching algorithm called HEM, we propose an improved multi-pattern matching algorithm called MH that is based on hash tables and binary tables. The MH algorithm
Externí odkaz:
https://doaj.org/article/064fe9afec7d446a8479c589d1e80948
Autor:
Shan He, Yong Xia, Zhengwei Zhang, Yuhong Yang, Yi Huang, Jiafei Xiao, Zhuojun Xie, Xingxiang Gong, Shengwei Wu, Qingping Tan, Haiying Yang
Publikováno v:
Acta Geochimica. 40:441-465
Yttrium (Y) is a critical metallic element that is used widely in modern scientific, technological, and industrial applications. Phosphorites in the Zhijin area of Guizhou Province, China, are famous for Y enrichment, but the enrichment characteristi
Publikováno v:
IEEE Access, Vol 7, Pp 147266-147279 (2019)
With the development of integrated circuit design technology, soft errors have become an important threat to system reliability, and software-based fault-tolerant techniques are gradually attracting people's attention. In many cases, researchers use
Publikováno v:
IEICE Transactions on Information and Systems. :1811-1815
Publikováno v:
IEICE Transactions on Information and Systems. :1393-1400
Publikováno v:
Procedia Computer Science. 131:895-903
Gated recurrent unit (GRU) networks perform well in sequence learning tasks and overcome the problems of vanishing and explosion of gradients in traditional recurrent neural networks (RNNs) when learning long-term dependencies. Although they apply es
Publikováno v:
IEICE Transactions on Information and Systems. :3027-3031
Publikováno v:
Computers & Security. 102:102138
Industrial control systems (ICSs) are distributed complex cyber physical systems (CPSs). The core parts of ICSs are usually ultimate targets of attackers but being protected strictly and difficult to attack directly. Attackers tend to take cyber-phys