Zobrazeno 1 - 10
of 59
pro vyhledávání: '"XUEZHI ZENG"'
Publikováno v:
Green Energy & Environment, Vol 8, Iss 6, Pp 1728-1736 (2023)
Molybdenum nickel alloy has been proved to be an efficient noble-metal-free catalyst for hydrogen evolution reaction (HER) in alkaline medium, but its electrocatalytic activity and stability need to be further improved to meet industrial requirements
Externí odkaz:
https://doaj.org/article/d2f0c7f970f64ba9bee885213ed37df9
Publikováno v:
Sensors, Vol 22, Iss 24, p 9901 (2022)
We studied the use of a millimeter-wave frequency-modulated continuous wave radar for gait analysis in a real-life environment, with a focus on the measurement of the step time. A method was developed for the successful extraction of gait patterns fo
Externí odkaz:
https://doaj.org/article/8b443244105b4fec99de4b8bbb2668bf
Publikováno v:
Sensors, Vol 20, Iss 4, p 1034 (2020)
Quick on-scene assessment and early intervention is the key to reduce the mortality of stroke and trauma patients, and it is highly desirable to develop ambulance-based diagnostic and monitoring devices in order to provide additional support to the m
Externí odkaz:
https://doaj.org/article/199adf7afbae40ae97a8185603fdc0c6
Publikováno v:
Green Energy & Environment; Dec2023, Vol. 8 Issue 6, p1728-1736, 9p
Publikováno v:
Frontiers of Chemical Science and Engineering.
Autor:
Yi Qi, Bowen Liu, Xueqing Qiu, Xuezhi Zeng, Zhicheng Luo, Weidong Wu, Yingchun Liu, Liheng Chen, Xihong Zu, Huafeng Dong, Xuliang Lin, Yanlin Qin
Publikováno v:
Advanced Materials. 35
Autor:
XUEZHI ZENG1 xuezhi.zeng@anu.edu.au, GARG, SAURABH2 saurabh.garg@utas.edu.au, BARIKA, MUTAZ2 mutaz.barika@utas.edu.au, ZOMAYA, ALBERT Y.3 albert.zomaya@sydney.edu.au, LIZHE WANG4 lzwang@cug.edu.cn, VILLARI, MASSIMO5 mvillari@unime.it, DAN CHEN6 dan.chen@whu.edu.cn, RANJAN, RAJIV4,7 raj.ranjan@ncl.ac.uk
Publikováno v:
ACM Computing Surveys. May2021, Vol. 53 Issue 3, p1-40. 40p.
Publikováno v:
Green Energy & Environment.
Autor:
Massimo Villari, Xuezhi Zeng, Saurabh Garg, Dan Chen, Albert Y. Zomaya, Mutaz Barika, Rajiv Ranjan, Lizhe Wang
Publikováno v:
ACM Computing Surveys. 53:1-40
Recent years have witnessed the booming of big data analytical applications (BDAAs). This trend provides unrivaled opportunities to reveal the latent patterns and correlations embedded in the data, and thus productive decisions may be made. This was
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 68:2880-2889
A time-domain microwave system for medical diagnostics was developed using off-the-shelf components. The system’s performance was evaluated for realistic measurement scenarios when two different measurement strategies: with and without variable gai