Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hongsen Lin"'
Autor:
Yini Chen, Jingyu Pan, Andong Lin, Lu Sun, Yufei Li, Hongsen Lin, Renwang Pu, Ying Wang, Yiwei Qi, Bo Sun
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
BackgroundPrevious structural neuroimaging studies linked cerebellar deficits to temporal lobe epilepsy (TLE). The functions of various cerebellar regions are increasingly being valued, and their changes in TLE patients warrant further in-depth inves
Externí odkaz:
https://doaj.org/article/1d68b945c1fa421a8cc744d8730be33e
Autor:
Yini Chen, Lu Sun, Shiyao Wang, Beiyan Guan, Jingyu Pan, Yiwei Qi, Yufei Li, Nan Yang, Hongsen Lin, Ying Wang, Bo Sun
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
ObjectivePatients with temporal lobe epilepsy (TLE) often exhibit neurocognitive disorders; however, we still know very little about the pathogenesis of cognitive impairment in patients with TLE. Therefore, our aim is to detect changes in the structu
Externí odkaz:
https://doaj.org/article/c2d3d03334e04499a9c2ec9a81282c42
Autor:
Yongkuan Li, Hongsen Lin, Jianrong Lin, Cheng Zhou, Aixin Luo, Jiachen Yang, Jieyu Zhang, Zhixiang Hong, Xueyan Hou, Peng Xiao, Bingfeng Fan
Publikováno v:
Materials & Design, Vol 237, Iss , Pp 112498- (2024)
Externí odkaz:
https://doaj.org/article/6171612d89f944448b07088c910586ce
Autor:
Yongkuan Li, Hongsen Lin, Jianrong Lin, Cheng Zhou, Aixin Luo, Jiachen Yang, Jieyu Zhang, Zhixiang Hong, Xueyan Hou, Peng Xiao, Bingfeng Fan
Publikováno v:
Materials & Design, Vol 235, Iss , Pp 112466- (2023)
Linear piezoelectric materials offer new opportunities for next-generation multifunctional micro/nano systems on chip aside from ferroelectrics. However, the advantage of quantitative pressure sensing of linear piezoelectric materials over ferroelect
Externí odkaz:
https://doaj.org/article/03fa390c746c4d86bd2e8353941139f5
Publikováno v:
IJCNN
In a complex road traffic scene, illegal lane intrusion of pedestrians or cyclists constitutes one of the main safety challenges in autonomous driving application. In this paper, we propose a novel object-level phase space reconstruction network (PSR