You are currently viewing a new version of our website. To view the old version click .

7 Results Found

  • Article
  • Open Access
422 Views
19 Pages

22 October 2025

Public CVE feeds add tens of thousands of entries each year, overwhelming patch-management capacity. We model the CWE–CVE–CPE triad and, for each CWE, build count-weighted product co-exposure graphs by projecting CVE–CPE links. Beca...

  • Article
  • Open Access
6 Citations
3,046 Views
15 Pages

24 April 2022

Session-based recommendation aims to predict anonymous user actions. Many existing session recommendation models do not fully consider the impact of similar sessions on recommendation performance. Graph neural networks can better capture the conversi...

  • Article
  • Open Access
17 Citations
3,857 Views
16 Pages

14 September 2022

Although graph convolutional networks (GCNs) have shown their demonstrated ability in skeleton-based action recognition, both the spatial and the temporal connections rely too much on the predefined skeleton graph, which imposes a fixed prior knowled...

  • Feature Paper
  • Article
  • Open Access
1 Citations
4,331 Views
17 Pages

Reinforcement Learning Based Data Self-Destruction Scheme for Secured Data Management

  • Young Ki Kim,
  • Saeed Ullah,
  • Kiuk Kwon,
  • Yunchul Jang,
  • Jongsoo Lee and
  • Choong Seon Hong

27 April 2018

As technologies and services that leverage cloud computing have evolved, the number of businesses and individuals who use them are increasing rapidly. In the course of using cloud services, as users store and use data that include personal informatio...

  • Article
  • Open Access
301 Views
47 Pages

26 November 2025

For unmanned aerial vehicle (UAV) ground crew marshalling tasks, the accuracy of skeleton-based action recognition is often limited by the high similarity of motion patterns across action categories as well as variations in individual performance. To...

  • Article
  • Open Access
7 Citations
4,430 Views
21 Pages

BioChemDDI: Predicting Drug–Drug Interactions by Fusing Biochemical and Structural Information through a Self-Attention Mechanism

  • Zhong-Hao Ren,
  • Chang-Qing Yu,
  • Li-Ping Li,
  • Zhu-Hong You,
  • Jie Pan,
  • Yong-Jian Guan and
  • Lu-Xiang Guo

16 May 2022

During the development of drug and clinical applications, due to the co-administration of different drugs that have a high risk of interfering with each other’s mechanisms of action, correctly identifying potential drug–drug interactions...