中国矿业大学主页平台系统 liguoxin--Home-- A Comprehensive Power Quality Assessment Method Based on Unsupervised Learning Ideas

副教授*

Supervisor of Master's Candidates

E-Mail:

School/Department:电气工程学院

Gender:Male

Contact Information:13305207810@126.com

Degree:Doctor

Alma Mater:中国矿业大学

Discipline:Electrical Power System and Automation

Current position: Home > Scientific Research > Paper Publications

Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era

Release time:2024-05-20 Hits:

DOI number:10.1109/ICPET59380.2023.10367598

Affiliation of Author(s):电气工程学院

Funded by:企业单位委托科技项目

First Author:liguoxin

Co-author:Zheng, Bowen,Yu, Zhiyuan,Chen, Lingxiao,Qi, Biao,Wang Di

Indexed by:会议论文

Document Code:5b5bb2948e1ba635018e1d38b65904d5

Volume:p1123-1127

Translation or Not:no

Date of Publication:2023-01-01