Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Zhanfang Chen"'
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 6972 (2022)
At present, the existing single-pixel position-scrambling technique is not sensitive to the chaotic sequence used, and adjacent-pixel position scrambling has difficulty ensuring a good scrambling effect and speed at the same time. In this paper, a st
Externí odkaz:
https://doaj.org/article/6f3e7a61e2c2498fbfb6ce7bfced5116
Autor:
Zhanfang Chen, Hongbin Fang, Xuewen Hua, Wenrui Liu, Yi Liu, Chenmeng Xue, Bingxiang Wang, Dzmitry Bazhanau, Xiaohe Zhu, Man Yuan, Jing Ru, Pengfei Chu
Publikováno v:
Journal of Chemistry, Vol 2021 (2021)
Structural optimization based on natural products is an important and effective way to discover new green pesticides. Here, two series of amide derivatives based on sinapic acid and mycophenolic acid were designed in combination with the fungicidal n
Externí odkaz:
https://doaj.org/article/efa63c8b59904b659dda412cecee745c
Publikováno v:
IEEE Access, Vol 6, Pp 8599-8609 (2018)
To solve the low attack path quantification degree and complex path finding in the industrial Internet of Things, a vulnerability assessment method based on attack graph and maximum flow is proposed. The method takes into account the factors influenc
Externí odkaz:
https://doaj.org/article/9876a9ad61e44cc29105dc61c1f5579b
Due to the size and nature of intrusion detection datasets, intrusion detection systems (IDS) typically take high computational complexity to examine features of data and identify intrusive patterns. Data preprocessing techniques such as feature sele
Externí odkaz:
http://arxiv.org/abs/2009.13067
One of the key challenges of machine learning (ML) based intrusion detection system (IDS) is the expensive computational complexity which is largely due to redundant, incomplete, and irrelevant features contain in the IDS datasets. To overcome such c
Externí odkaz:
http://arxiv.org/abs/2008.07405
Autor:
Zhanfang Chen, Xuewen Hua, Xiaohe Zhu, Hongbin Fang, Wenrui Liu, Yang Liu, Man Yuan, Junkang Sui, Lingxiao Zhang, Jing Ru, Guiqing Wang, Yanhong Cui
Publikováno v:
Journal of Heterocyclic Chemistry. 60:27-38
Autor:
Hongbin Fang, Zhanfang Chen, Xuewen Hua, Wenrui Liu, Chenmeng Xue, Yi Liu, Xiaohe Zhu, Man Yuan, Shuang Cheng, Bingxiang Wang, Jing Ru, Dzmitry Bazhanau, Yanhong Cui
Publikováno v:
Medicinal Chemistry Research. 31:485-496
Structural optimization based on natural products has become an effective way to develop new green fungicides, which provide important guiding significance for practicing the new development concept and promoting the green development of pesticides.
Autor:
Hongbin Fang, Zhanfang Chen, Yang Liu, Tiancheng Zhang, Jing Chang, Zizheng Li, Lingxiao Zhang, Junkang Sui, Jing Ru, Yucheng Gu, Xuewen Hua
Publikováno v:
Journal of agricultural and food chemistry.
The development of new green fungicides is an effective way to solve the resistance of agricultural pathogens and plays an important role in promoting high-quality and sustainable development of modern agriculture. In this project, a series of arylox
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 41:4461-4468
In server clusters, the static scheduling algorithm has superior performance when the user visits are relatively stable. In the face of sudden increase in user traffic, the dynamic scheduling algorithm has a better load balancing effect than the stat
Publikováno v:
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering.