Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Liye Ren"'
Publikováno v:
2022 11th International Conference on Bioinformatics and Biomedical Science.
Publikováno v:
Second International Conference on Digital Signal and Computer Communications (DSCC 2022).
Publikováno v:
Acta Microscopica. 2020, Vol. 29 Issue 2, p870-878. 9p.
Publikováno v:
2022 14th International Conference on Bioinformatics and Biomedical Technology.
Publikováno v:
International Conference on Algorithms, Microchips and Network Applications.
Publikováno v:
2019 INTERNATIONAL CONFERENCE ON BIOTECHNOLOGY AND BIOENGINEERING (9th ICBB).
In this study, a positive psychological capital (PPQ) was used to conduct a questionnaire survey on 1553 students in 5 colleges and universities in Sichuan Province to understand the current status and characteristics of college students’ psycholog
Autor:
Liye Ren, Li-feng Ren
Publikováno v:
2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC).
Extracting features from EMG signal and using pattern recognition method to predict the user's intended movement are the core parts of myoelcrtic prostheses control strategy. To extract more information about muscle contraction strategy. To extract m
Autor:
Xiaoli Wang, Liye Ren
Publikováno v:
BDCloud
This article introduces the design of doppler radar microwave transmitting unit through the use of master-oscillator and power-amplifier radar transmitter. It emphasizes that in doppler radar system, to fulfill multi-functional requirements and adapt
Publikováno v:
DASC
With the purpose of improving the efficiency of experiments on aqueous two-phase system, optimizing experimental data and extracting the optimal value from results of experiments, experimental studies and applications in aqueous two-phase system are
Publikováno v:
DASC
System identification modeling is an essential precondition and foundation for the analysis, design and intelligent control of control system. Theory and method of identification modeling for rehabilitation training system for stroke patients' lower