Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Hongyang Gu"'
Autor:
Nianwen Xiang, Hongyang Gu, Kejie Li, Lingyun Cheng, Jin Yang, Wei Zhang, Congying Han, Chun Yang
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1224-1230 (2022)
If the follow-current interruption time of gas discharge tube is too long, it will lead to short circuit trip of equipment, even breakdown and damage. In order to mitigate the phenomenon and propose corresponding protective measures, the follow-curre
Externí odkaz:
https://doaj.org/article/58eb63d63a5b40fdba2bf1a8fe6d9e88
Publikováno v:
Frontiers of Mechanical Engineering. 16:814-828
The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery. Deep neural networks have provided unprecedented opportunities to condition monitoring from a new perspective due to the powerful ability in learning fault-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeafa519a0ec3073c33595e856e290c2
https://doi.org/10.1007/s11465-021-0650-6
https://doi.org/10.1007/s11465-021-0650-6
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ae55d4f82a95ce1cb05ec862167b16
https://doi.org/10.1109/cvpr52688.2022.00470
https://doi.org/10.1109/cvpr52688.2022.00470
Publikováno v:
Neurocomputing. 435:53-66
In the field of person re-identification (ReID), multi-branch models are more effective in learning robust features than single-branch models. The current popular multi-branch models are based on ResNet or GoogleNet. These networks are designed initi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8d0574f8ef2eac10a18310e90029dc4
https://doi.org/10.1016/j.neucom.2020.12.105
https://doi.org/10.1016/j.neucom.2020.12.105
Publikováno v:
Engineering Applications of Artificial Intelligence. 112:104862
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51935cc00fa64a57c55773f0d2747a46
https://doi.org/10.1016/j.engappai.2022.104862
https://doi.org/10.1016/j.engappai.2022.104862
Autor:
Xinpei Chen, Yu Zhang, He Meng, Guiying Chen, Yongjiang Ma, Jian Li, Saizhe Liu, Zhuo Liang, Yinuo Xie, Ying Liu, Hongyang Guo, Yutang Wang, Zhaoliang Shan
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
BackgroundAtrial fibrillation (AF) is one of the most prevalent arrhythmias and is characterized by a high risk of heart failure and embolic stroke, yet its underlying mechanism is unclear. The primary goal of this study was to establish a miRNA–mR
Externí odkaz:
https://doaj.org/article/017b8846c50747be80aadb6f9e5fba07
Publikováno v:
Applied Optics. 61:3793
Unsupervised deep learning methods have made significant progress in monocular visual odometry (VO) tasks. However, due to the complexity of the real-world scene, learning the camera ego-motion from the RGB information of monocular images in an unsup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0006201b9b5ad8382e2248272e0817a8
https://doi.org/10.1364/ao.452378
https://doi.org/10.1364/ao.452378
Publikováno v:
Pattern Recognition. 124:108432
In recent years, person re-identification, which learns discriminative features for the specific person retrieval problem across non-overlapping cameras, has attracted extensive attention. One of the main challenges in person re-identification with d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0857a254c23b2cd6792fae94e88839a
https://doi.org/10.1016/j.patcog.2021.108432
https://doi.org/10.1016/j.patcog.2021.108432
Reliability improvement of gas discharge tube by suppressing the formation of short-circuit pathways
Autor:
Lingyun CHENG, Nianwen XIANG, Kejie LI, Weijiang CHEN, Kai BIAN, Jin YANG, Zongqi XU, Congying HAN, Hongyang GU, Chun YANG
Publikováno v:
Plasma Science and Technology. 24:035501
After cumulative discharge of gas discharge tube (GDT), it is easy to form a short circuit pathway between the two electrodes, which increases the failure risk and causes severe influences on the protected object. To reduce the failure risk of GDT an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e36e3e225b165919aeab4e48f4b20856
https://doi.org/10.1088/2058-6272/ac479c
https://doi.org/10.1088/2058-6272/ac479c
Publikováno v:
AIP Advances, Vol 14, Iss 4, Pp 045224-045224-9 (2024)
We have simulatively studied the electrical excitation of acoustic and optical plasmons in double-channel AlGaN/GaN high electron mobility transistors (HEMT) under asymmetric boundaries. By solving the self-consistent hydrodynamic model with Maxwell
Externí odkaz:
https://doaj.org/article/124fde21bb4c458ea72028e592189839