Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Huiyi Zhou"'
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
Aiming at the lumped-circuits model of the lossless transmission line in the digital simulation, the article discusses and analyzes the unit step response generation of the lumped-circuits model by comparing the numerical simulation results of the im
Externí odkaz:
https://doaj.org/article/cb051478d6704a03aa394f6ef7b301a8
Publikováno v:
Tongxin xuebao, Vol 39, Pp 14-23 (2018)
Since the feature selection process will directly affect the accuracy of the traffic classification based on the traditional machine learning method,a traffic classification algorithm based on convolution neural network was tailored.First,the min-max
Externí odkaz:
https://doaj.org/article/f76748e2dd09440cb21a27561b65b5fc
Autor:
Lihua He, Huiyi Zhou
Publikováno v:
2022 18th International Conference on Computational Intelligence and Security (CIS).
Publikováno v:
2022 18th International Conference on Computational Intelligence and Security (CIS).
Autor:
Huiyi Zhou, Lihua He
Publikováno v:
2022 18th International Conference on Computational Intelligence and Security (CIS).
Publikováno v:
Artificial Cells, Nanomedicine, and Biotechnology. 46:900-910
Nanogels exhibit potential application values in drug delivery systems because of their tunable properties and biocompatibility. In this study, multifunctional hyaluronic-based nanogels (HNPs), all-trans retinoid acid (ATRA)/aggregation-induced emiss
Publikováno v:
CIS
Nowadays, CNN widely used in network traffic classification. The traditional model of CNN only can be sent with the fixed traffic dataset in network traffic classification. But for the traffic dataset in network, that model must lead to a certain deg
Publikováno v:
CIS
A traffic classification algorithm based on improved convolution neural network is proposed in this paper. It aims to improve the traditional traffic classification method. Firstly, the min-max normalization method is used to process the traffic data