Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Jiangtao Ou"'
Autor:
Delong Cui, Hong Huang, Zhiping Peng, Qirui Li, Jieguang He, Jinbo Qiu, Xinlong Luo, Jiangtao Ou, Chengyuan Fan
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 9, Pp 9168-9199 (2022)
This study aimed to develop a 5G + "mixed computing" + deep learning-based next-generation intelligent health-monitoring platform for an ethylene cracking furnace tube based on 5G communication technology, with the goal of improving the health manage
Externí odkaz:
https://doaj.org/article/1d679b38f07543139afff38757be0e19
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-19 (2022)
Abstract In this paper, we investigate how to analytically design an analytical offloading strategy for a multiuser mobile edge computing (MEC)-based smart internet of vehicle (IoV), where there are multiple computational access points (CAPs) which c
Externí odkaz:
https://doaj.org/article/3c958574814841788a7cc90e7483ed88
Autor:
Lianhong Zhang, Wenqi Zhou, Junjuan Xia, Chongzhi Gao, Fusheng Zhu, Chengyuan Fan, Jiangtao Ou
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-16 (2022)
Abstract In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet of vehicle (IoV) network, where one edge server can help accomplish the intensive calculating tasks from the vehicular users. For the MEC networks, mo
Externí odkaz:
https://doaj.org/article/649096aaec054ea7813cbf970a592121
Autor:
Jun Liu, Yuwei Zhang, Jing Wang, Tao Cui, Lin Zhang, Chao Li, Kai Chen, Huang Huang, Xuan Zhou, Wei Zhou, Zhao Wang, Sun Li, Suili Feng, Dongqing Xie, Dahua Fan, Jianghong Ou, Jiangtao Ou, Yun Li, Haige Xiang, Kaimeno Dube, Abbarbas Muazu, Nakilavai Rono, Yajuan Tang
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 9, Iss 32 (2022)
Within this specific record, our group study the two-way interact body (TWRN) that has a number of amplify-and-forward (AF) relays. In that, the best one is actually really got to help the info communication among sources. A interact option is actual
Externí odkaz:
https://doaj.org/article/2c87d2f160c347ab804d1d3491931002
Publikováno v:
Italian Journal of Animal Science, Vol 20, Iss 1, Pp 453-464 (2021)
Current study explored the acute toxicity and oxidative stress of ammonia-N on Macrobrachium rosenbergii. Prawns were exposed to ammonia-N at 3.01, 3.55, 4.18, 4.92, 5.80, 6.82, and 8.04 mg·L−1 for a 96 h acute toxicity test. In the subsequent sub
Externí odkaz:
https://doaj.org/article/4f9d547d95cd424e9693a9ed7cf95cf0
Publikováno v:
Parasites & Vectors, Vol 7, Iss 1, Pp 1-8 (2014)
Abstract Background The identification of specific epitopes targeted by the host antibody response is important for understanding the natural response to infection and for the development of epitope-based marker vaccines and diagnostic tools for toxo
Externí odkaz:
https://doaj.org/article/50db6b5e039b415eb2b7c1730a4b3dd7
Autor:
Dan Deng, Junxia Li, Rutvij H. Jhaveri, Prayag Tiwari, Muhammad Fazal Ijaz, Jiangtao Ou, Chengyuan Fan
Publikováno v:
IEEE Internet of Things Journal. 10:2767-2775
Publikováno v:
IEEE Transactions on Green Communications and Networking. 6:2128-2143
Autor:
Jiangtao, Ou, Qiao, Liu, Yunxia, Bian, Xiaoqi, Luan, Yusuo, Meng, Huizi, Dong, Miao, Cao, Benhou, Zhang, Zisheng, Wang, Weihong, Zhao
Publikováno v:
Fish & Shellfish Immunology. 130:436-452
In recent years, the industry in charge of the cultivation of Macrobrachium nipponense (M.nipponense) has suffered significant economic losses due to an infectious pathogen called Spiroplasma eriocheiris (S.eriocheiris). There has therefore been a ne
Autor:
Junyan Chen, Yong Wang, Jiangtao Ou, Chengyuan Fan, Xiaoye Lu, Cenhuishan Liao, Xuefeng Huang, Hongmei Zhang
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-17
Due to the rapid development of network communication technology and the significant increase in network terminal equipment, the application of new network architecture software-defined networking (SDN) combined with reinforcement learning in network