Multi-sensor data fusion (MSDF) is an efficient technology to enhance the performance of the system with the involvement of different kinds of sensors, which are broadly utilized in …
The substantial growth in data volume has led to considerable technological obstacles on the Internet. In order to address the high volume of Internet traffic, the research community …
L Qiu, J Zhang, X Tian - Applied intelligence, 2021 - Springer
Identifying influential nodes in complex networks is an open and challenging issue. Many measures have been proposed to evaluate the influence of nodes and improve the accuracy …
Identifying influential nodes in complex networks has attracted the attention of many researchers in recent years. However, due to the high time complexity, methods based on …
A Şimşek - Journal of King Saud University-Computer and …, 2022 - Elsevier
Epidemic modeling in complex networks is a hot research topic in recent years. The spreading of a virus (such as SARS-CoV-2) in a community, spreading computer viruses in …
L Zhou, L Tang, Z Zhang - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Online consumer product reviews have been the primary source for manufacturers and consumers to obtain consumer knowledge and product information. However, the explosion …
B Zhang, X Zhao, J Nie, J Tang, Y Chen… - ACM Computing …, 2024 - dl.acm.org
Existing surveys and reviews on Influential Node Ranking Methods (INRMs) have primarily focused on technical details, neglecting thorough research on verifying the actual influence …
H Li, F Xiao - International Journal of Intelligent Systems, 2020 - Wiley Online Library
For the sake of great ability of handling uncertain information, Dempster‐Shafer evidence theory is extensively used in information fusion. Nevertheless, when there exists highly …
H Aldahmash, A Alothaim, A Mirza - IEEE Access, 2024 - ieeexplore.ieee.org
The dynamic shifts in educational settings have led scholars to explore online social networks (OSNs) as emergent environment for learning communities. Recognized for their …