Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Yiteng WU"'
Publikováno v:
网络与信息安全学报, Vol 8, Pp 168-174 (2022)
With the rapid development of the Internet, social media is increasingly integrated into all aspects of people’s daily life.Social media has gradually become a tool and even a platform for people to share opinions, insights, experiences and viewpoi
Externí odkaz:
https://doaj.org/article/61b853d860db4885bb4ea533ea049794
Publikováno v:
Tongxin xuebao, Vol 42, Pp 65-74 (2021)
To expand the adversarial attack types of graph neural networks and fill the relevant research gaps, label flipping attack methods were proposed to evaluate the robustness of graph neural network aimed at label noise.The effectiveness mechanisms of a
Externí odkaz:
https://doaj.org/article/f9a9fd3d5613406aa3f7c1565283155e
Autor:
Wenting Lin, Sixiang Jia, Yiwen Chen, Hanning Shi, Jianqiang Zhao, Zhe Li, Yiteng Wu, Hangpan Jiang, Qi Zhang, Wei Wang, Yayu Chen, Chao Feng, Shudong Xia
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Korotkoff sounds (K-sounds) have been around for over 100 years and are considered the gold standard for blood pressure (BP) measurement. K-sounds are also unique for the diagnosis and treatment of cardiovascular diseases; however, their efficacy is
Externí odkaz:
https://doaj.org/article/791fe6a3c8984f658a5f1cffae9d4e82
Publikováno v:
Tongxin xuebao, Vol 41, Pp 34-50 (2020)
The problem that whether there a theoretical limit exists for link prediction combination methods and how to approximate was investigated.Link prediction methods were divided into single or combination methods,based on whether multidimension informat
Externí odkaz:
https://doaj.org/article/af43776d00e0420282497782833367bd
Autor:
Sixiang Jia, Haochen Mou, Yiteng Wu, Wenting Lin, Yajing Zeng, Yiwen Chen, Yayu Chen, Qi Zhang, Wei Wang, Chao Feng, Shudong Xia
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2022)
BackgroundThe clinical factors associated with the recurrence of atrial fibrillation (Af) in patients undergoing catheter ablation (CA) are still ambiguous to date.Purpose1. To recognize preoperative serologic factors and clinical features associated
Externí odkaz:
https://doaj.org/article/304321eeca1f455bb0011daf6b629790
Publikováno v:
网络与信息安全学报, Vol 5, Pp 67-74 (2019)
Link prediction is an important part of the study of missing links and future formations in complex networks.Currently,network structure-based link prediction methods are rich in results.Research on link prediction based on complex network dynamics m
Externí odkaz:
https://doaj.org/article/7217a0c8943140c8a1cf81cc551f4259
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10322 (2022)
Heart failure (HF) is a devastating condition that impairs people’s lives and health. Because of the high morbidity and mortality associated with HF, early detection is becoming increasingly critical. Many studies have focused on the field of heart
Externí odkaz:
https://doaj.org/article/20dc2a50736c44978ae42ee5dcff4c58
Publikováno v:
Applied Sciences, Vol 8, Iss 1, p 32 (2017)
The theoretical limit of link prediction is a fundamental problem in this field. Taking the network structure as object to research this problem is the mainstream method. This paper proposes a new viewpoint that link prediction methods can be divided
Externí odkaz:
https://doaj.org/article/6b1369889a5f4b1692bad91a7dd0a0fa
Publikováno v:
Information Sciences. 623:481-492
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::245e69def4553bfa4434872e4a4bb9c7
https://doi.org/10.1016/j.ins.2022.11.130
https://doi.org/10.1016/j.ins.2022.11.130
Publikováno v:
Intelligent Data Analysis. 26:1683-1701
The Internet of Things (IoT) devices have limited resources and are vulnerable to attacks, so optimizing their network topology to resist random failures and malicious attacks has become a key issue. The scale-free network model has strong resistance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24bb517f999dafd7a2723d4e8f357fde
https://doi.org/10.3233/ida-216222
https://doi.org/10.3233/ida-216222