Zobrazeno 1 - 10
of 39
pro vyhledávání: '"ZhongJun Xiao"'
Publikováno v:
IEEE Access, Vol 9, Pp 147054-147062 (2021)
In order to reduce traffic accidents caused by fatigue driving, a fatigue driving detection algorithm is proposed based on deep learning and facial multi-index fusion from the driver $'\text{s}$ facial features. Because the scene in the actual drivin
Externí odkaz:
https://doaj.org/article/971d6f2b58294995bf6a75ddf90d27e1
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
In this article, a novel robust tracking control scheme based on linear extended state observer with estimation error compensation is proposed for the tracking control of the antagonistic variable stiffness actuator based on equivalent nonlinear tors
Externí odkaz:
https://doaj.org/article/feef01469a9f4b87930424b7048428a7
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0170212 (2017)
The aim of this systematic review was to evaluate the existing evidence on the effectiveness and safety of Tai chi, which is critical to provide guidelines for clinicians to improve symptomatic management in patients with multiple sclerosis (MS). Aft
Externí odkaz:
https://doaj.org/article/30126dc7be0148f0ad85eda302817290
Publikováno v:
Computers & Graphics. 108:22-33
Publikováno v:
2022 9th International Forum on Electrical Engineering and Automation (IFEEA).
Publikováno v:
2022 2nd International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR).
Publikováno v:
Computers in biology and medicine. 152
Fatigue driving is one of the leading causes of traffic accidents, so fatigue driving detection technology plays a crucial role in road safety. The physiological information-based fatigue detection methods have the advantage of objectivity and accura
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
2022 International Seminar on Computer Science and Engineering Technology (SCSET).
Publikováno v:
2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems ISBN: 9789811617256
In order to improve the quality of industrial products, an image recognition model based on multi-scale convolutional neural network is proposed for different scale targets of surface defect detection. First of all, the traditional convolutional neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eefd44af2ea337be6db4c2f0e3d37e0
https://doi.org/10.1007/978-981-16-1726-3_129
https://doi.org/10.1007/978-981-16-1726-3_129