54 citations
- Central China Normal UniversityCN18 papers
- China Institute of Atomic EnergyCN8 papers
- Shaanxi Normal UniversityCN7 papers
- Guizhou Normal UniversityCN5 papers
- Huazhong University of Science and TechnologyCN5 papers
- China Three Gorges UniversityCN4 papers
- China University of GeosciencesCN3 papers
- University of TarapacáCL3 papers
- Wuhan UniversityCN3 papers
- Wuhan University of TechnologyCN3 papers
- École Nationale Supérieure des Arts et Industries TextilesFR2 papers
- Hubei University of Science and TechnologyCN2 papers
5 papers · 1 filter
A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization
Zhenglei He, Kim Phuc Tran, Sebastien Thomassey +3
Textile manufacturing is a typical traditional industry involving high complexity in interconnected processes with limited capacity on the application of modern technologies. Decis…
Pseudo-hyperbolic distance and n-best rational approximation in H^2 space
Tao Qian, Yan-Bo Wang
Through reducing the problem to rational orthogonal system (Takenaka-Malmquist system), this note gives a proof for existence of n-best rational approximation to functions in the H…
Relativistic Langevin dynamics: charm versus beauty
Shuang Li, Wei Xiong, Renzhuo Wan
The production of heavy quarks (charm and beauty) provides unique insights into the transport properties of the Quark-Gluon Plasma (QGP) in heavy-ion collisions. Experimentally, th…
Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning
Zhenglei He, Kim Phuc Tran, Sebastien Thomassey +3
Multi-objective optimization of the textile manufacturing process is an increasing challenge because of the growing complexity involved in the development of the textile industry.…
MMSE Channel Estimation for Two-Port Demodulation Reference Signals in New Radio
Dejin Kong, Xiang-Gen Xia, Pei Liu +1
Two-port demodulation reference signals (DMRS) have been employed in new radio (NR) recently. In this paper, we firstly propose a minimum mean square error (MMSE) scheme with full…