Zobrazeno 1 - 10
of 1 540
pro vyhledávání: '"User detection"'
Publikováno v:
网络与信息安全学报, Vol 10, Iss 4, Pp 143-158 (2024)
Momo, a popular mobile social application, has attracted a significant number of malicious users engaged in illegal online activities such as fraud, online gambling, and illegal lending. The detection of these malicious users is of great importance.
Externí odkaz:
https://doaj.org/article/193ba8c3bd6d4591b548d2b43e969577
Autor:
Simon Chege, Tom Walingo
Publikováno v:
IEEE Access, Vol 12, Pp 75136-75145 (2024)
The performance of hybrid multi-radio access technologies depends on the sufficiency of the multi-user detection (MUD) at the receiver. For optimal performance of the hybrid power-domain sparse code multiple access (PD-SCMA), robust detection strateg
Externí odkaz:
https://doaj.org/article/49625fd002c64cbf8e1ed8e240dbd2c1
Autor:
Latifah Almuqren, Mohammed Maray, Faiz Abdullah Alotaibi, Abdulrahman Alzahrani, Ahmed Mahmud, Mohammed Rizwanullah
Publikováno v:
IEEE Access, Vol 12, Pp 35300-35308 (2024)
Malicious user recognition for spectrum sensing in Cognitive Radio Networks (CRNs) is a serious safety feature to safeguard effective and trustworthy process of these systems. Spectrum sensing permits CRNs to identify and employ accessible spectrum b
Externí odkaz:
https://doaj.org/article/3a352bbaf3b54d379b482b77c7dce4fb
Publikováno v:
Tongxin xuebao, Vol 44, Pp 186-197 (2023)
Aiming at the problem that most existing algorithms were based on the Gaussian inverse gamma prior model (GIG-SBL), which ignored the sparsity of the support set vector within the sparse solution, a sparse Bayesian learning framework based on the Ber
Externí odkaz:
https://doaj.org/article/3361458af3a942ea9ed04ca8af5fd2bc
Publikováno v:
Information, Vol 15, Iss 5, p 266 (2024)
The existing deep learning-based detection of fake information focuses on the transient detection of news itself. Compared to user category profile mining and detection, transient detection is prone to higher misjudgment rates due to the limitations
Externí odkaz:
https://doaj.org/article/4d494a29bead415db3bda67fff37b915
Publikováno v:
High-Speed Railway, Vol 1, Iss 1, Pp 31-36 (2023)
The current High-Speed Railway (HSR) communications increasingly fail to satisfy the massive access services of numerous user equipment brought by the increasing number of people traveling by HSRs. To this end, this paper investigates millimeter-Wave
Externí odkaz:
https://doaj.org/article/00be08162f794afe82d2aaa3b3297a22
Publikováno v:
天地一体化信息网络, Vol 4, Pp 73-81 (2023)
Code domain non-orthogonal multiple access (NOMA) is one of the potential technologies to realize ubiquitous access in the future satellite internet.Considering that satellite-to-ground transmission has the characteristics of large propagation delay
Externí odkaz:
https://doaj.org/article/f1bf83b10bb34faf94bb11d1316ba1de
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 4, Pp 1499-1515 (2023)
We consider the multi-user detection (MUD) problem in uplink grant-free non-orthogonal multiple access (NOMA), where the access point has to identify the total number and correct identity of the active Internet of Things (IoT) devices and decode thei
Externí odkaz:
https://doaj.org/article/b5d45f987dd4490983a12501bec06c8d
Publikováno v:
University of Sindh Journal of Information and Communication Technology, Vol 6, Iss 4, Pp 19-24 (2023)
Recent years have seen a rapid growth and development in the field of wireless communication networks. Specifically, the grant-free access and non-orthogonal multiple access (NOMA) in connection with deep learning algorithms. Which facilitate massive
Externí odkaz:
https://doaj.org/article/ab6c8344dbee431c90ee1ab44172d229
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