Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Xinjian Xiang"'
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-22 (2024)
Abstract Graph neural networks (GNNs) have gained prominence as an effective technique for representation learning and have found wide application in tag recommendation tasks. Existing approaches aim to encode the hidden collaborative information amo
Externí odkaz:
https://doaj.org/article/98d226a54105472ba9299ffb57a7f5fb
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract To address several common problems of finger vein recognition, a lightweight finger vein recognition algorithm by means of a small sample has been proposed in this study. First of all, a Gabor filter is applied to deal with the images for th
Externí odkaz:
https://doaj.org/article/ef694d9fd6f049a385484d857573e5c8
Autor:
Xinjian Xiang, Zhengwan Jiang, Dehui Che, Gong Chen, Shichun Shen, Wenqian Ding, Yuntao Zhang, Mei Xiang, Bangzhong Zhu, Juan Xie, Dongsheng Cao
Publikováno v:
Asian Journal of Surgery, Vol 47, Iss 2, Pp 973-981 (2024)
Introduction: Progressive hemifacial atrophy (PHA) is a nonnegligible disease, and its treatment currently lacks consensus. We aim to conduct an analysis of PHA patients to summarize the postoperative effect. Moreover, we introduced the free serratus
Externí odkaz:
https://doaj.org/article/083278d46ec0410e867f086a6483d495
Autor:
Bingqiang Huang, Shiqian Wang, Zhengshun Fei, Xinjian Xiang, Shaohua Tian, Fuying Tang, Tianshun Yuan
Publikováno v:
IEEE Access, Vol 12, Pp 126376-126388 (2024)
Lane detection is a key technical challenge in autonomous driving and advanced driving assistance systems. The current lane detection system has insufficient robustness and low detection accuracy problem in complex and harsh environmental conditions,
Externí odkaz:
https://doaj.org/article/efc18a65c976467db67fff29e5c6ae72
Publikováno v:
IEEE Access, Vol 12, Pp 116786-116800 (2024)
Speed bumps, as a crucial road safety infrastructure, can directly impact the accident rates on specific road sections if they have defects. Therefore, this study proposes a method for detecting speed bump multiclass defects using an improved YOLOv5s
Externí odkaz:
https://doaj.org/article/138c0fe8e8f24d19b5862df0b07b8f2f
Autor:
Chen Gong, Ji Ma, Ya Deng, Qiaoling Liu, Zixiang Zhan, Hong Gan, Xinjian Xiang, Meng Zhang, Kangli Cao, Tingting Shen, Lulu Fang, Bing Shen, Shichun Shen, Shenggang Ding
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 172, Iss , Pp 116233- (2024)
Acute lung injury (ALI) is characterized by pulmonary diffusion abnormalities that may progress to multiple-organ failure in severe cases. There are limited effective treatments for ALI, which makes the search for new therapeutic avenues critically i
Externí odkaz:
https://doaj.org/article/42fe5a0e1d9248b794da7b4f90bc2c39
Autor:
Yang Li, Dexin Hou, Feng Li, Lianghui Huang, Zhihua Huang, Yuehuan Zhang, Yongping Zheng, Leipeng Song, Bingqiang Huang, Zhengshun Fei, Xinjian Xiang
Publikováno v:
Sensors, Vol 24, Iss 13, p 4206 (2024)
The thermal properties of bipolar plates, being key elements of polymer electrolyte membrane fuel cells, significantly affect their heat conduction and management. This study employed an innovative approach known as a heat flow loop integral method t
Externí odkaz:
https://doaj.org/article/4b18af7b1b5a4e0f8dfe31530b3f024f
Publikováno v:
Energies, Vol 17, Iss 8, p 1815 (2024)
In the realm of power systems, short-term electric load forecasting is pivotal for ensuring supply–demand balance, optimizing generation planning, reducing operational costs, and maintaining grid stability. Short-term load curves are characteristic
Externí odkaz:
https://doaj.org/article/a30a0ebbd00043589668419f3cf14161
Publikováno v:
IEEE Access, Vol 11, Pp 126147-126154 (2023)
This paper studies the sampled-data second-order consensus of multiple Euler-Lagrange systems without knowing neighbors’ velocities. The second-order feedback control method of the Euler-Lagrange system naturally excludes the infinities in the cont
Externí odkaz:
https://doaj.org/article/79086132b8a94387afc10c3b3ddc01f8
Autor:
Zhengshun Fei, Haibo Gong, Junhao Guo, Jinglong Wang, Wuyin Jin, Xinjian Xiang, Xiasheng Ding, Ni Zhang
Publikováno v:
IEEE Access, Vol 11, Pp 104846-104857 (2023)
Complete and high-quality labeled dataset is indispensable for image classification. Considering the often arduous task of data labeling, clustering algorithms are commonly utilized in the preliminary stages of data classification to perform prelimin
Externí odkaz:
https://doaj.org/article/b5ce4f89c24f46309a11123f4fd8fa25