Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Yijie Yu"'
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 7, Pp 1288-1301 (2023)
Abstract The vehicle detection algorithm based on visual perception has been applied in all types of automatic driving scenes. However, there are still flaws in the current detection algorithm model, especially for small objects. The detection effect
Externí odkaz:
https://doaj.org/article/617a34ff0ce547a2a7ced51c6a3db484
Publikováno v:
Machines, Vol 12, Iss 2, p 107 (2024)
This paper presents the design and development of a new type of planetary traction drive bearing-type reducer. In this design, the transmission outer ring is replaced with an elastic ring. The design constructs a circular arc at the axial end of the
Externí odkaz:
https://doaj.org/article/91d6d9d72e274c8e8bf6bee6496df6bc
Autor:
Amy Tong Zhao, Yijie Yu
Publikováno v:
Computers in Human Behavior Reports, Vol 9, Iss , Pp 100265- (2023)
Relying on self-presentation theory and boundary management theory, this study investigated the association between employees’ personal/professional boundary blurring on social media and work engagement. We examined whether social media anxiety med
Externí odkaz:
https://doaj.org/article/9bdcf1a86b6f439e935a22c669eff3eb
Autor:
Li Qiu, Wang Zhang, A. Abu-Siada, Gang Liu, Chenglin Wang, Yudong Wang, Bin Wang, Yantao Li, Yijie Yu
Publikováno v:
IEEE Access, Vol 8, Pp 33215-33222 (2020)
Non-uniform axial deformation and tube wall thinning are the main issues restricting the further development of the tube electromagnetic bulging technology. Aiming at overcoming these issues, a tube electromagnetic bulging method based on convex driv
Externí odkaz:
https://doaj.org/article/a1f18554393c4fafbb26cc2a2f1d0e3a
Autor:
Li Qiu, Yantao Li, Yijie Yu, A. Abu-Siada, Qi Xiong, Xiaoxiang Li, Liang Li, Pan Su, Quanliang Cao
Publikováno v:
IEEE Access, Vol 7, Pp 117107-117114 (2019)
In the conventional electromagnetic tube expansion, the end effects generated by the conventional helix coil may lead to inhomogeneous tube deformation in the axial direction. This paper is aimed at overcoming this issue by proposing a new concave co
Externí odkaz:
https://doaj.org/article/e26a765dc4444e41a3c29c799cb4134b
Publikováno v:
Sensors, Vol 18, Iss 12, p 4109 (2018)
Vehicle detection is a key component of environmental sensing systems for Intelligent Vehicles (IVs). The traditional shallow model and offline learning-based vehicle detection method are not able to satisfy the real-world challenges of environmental
Externí odkaz:
https://doaj.org/article/d713441e7a7e4ec7b8bf865330528be6
Publikováno v:
IET Intelligent Transport Systems.
Autor:
Yangyang Xu, Haibin Zhu, Xianjun Zhao, Yijie Yu, Bo Hu, Bernadette Graff, Jacques Lalevée, Ke Sun, Jiangang Gao
Publikováno v:
European Polymer Journal. 190:112007
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 6:100-109
The deep learning object detection algorithms have become one of the powerful tools for road vehicle detection in autonomous driving. However, the limitation of the number of high-quality labeled training samples makes the single-object detection alg
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783031210136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc7e907dd731e3f2f10e6730f1c19aac
https://doi.org/10.1007/978-3-031-21014-3_10
https://doi.org/10.1007/978-3-031-21014-3_10