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MBNN: A Multi-Branch Neural Network Capable of Utilizing Industrial Sample Unbalance for Fast Inference 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 2, 页码: 1809-1819
Authors:  Wang QZ(王其朝);  Wang K(王锴);  Li Q(李庆);  Yang, Zuye;  Jin, Guangshu;  Wang H(王宏)
Adobe PDF(2700Kb)  |  Favorite  |  View/Download:42/1  |  Submit date:2021/01/17
Fault diagnosis  Neural networks  Complexity theory  Computational modeling  Sensors  Optimization  Real-time systems  Neural network architecture  fault diagnosis  fast inference  unbalance sample  
A Simple and Efficient Time-Sensitive Networking Traffic Scheduling Method for Industrial Scenarios 期刊论文
ELECTRONICS, 2020, 卷号: 9, 期号: 12, 页码: 1-19
Authors:  Li Q(李庆);  Li D(李栋);  Jin X(金曦);  Wang QZ(王其朝));  Zeng P(曾鹏))
Adobe PDF(3762Kb)  |  Favorite  |  View/Download:32/2  |  Submit date:2021/01/22
Time-Sensitive Networking (TSN)  Satisfiability Modulo Theories (SMT)  scheduling  802.1Qbv