Zobrazeno 1 - 10
of 14 866
pro vyhledávání: '"User detection"'
Code-domain non-orthogonal multiple access (CD-NOMA) systems offer key benefits such as high spectral efficiency, low latency, high reliability, and massive connectivity. NOMA's ability to handle overloading allows multiple devices to share a single
Externí odkaz:
http://arxiv.org/abs/2410.14224
Autor:
Piron, Romain, Goursaud, Claire
Detecting active users in a non-orthogonal multiple access (NOMA) network poses a significant challenge for 5G/6G applications. Traditional algorithms tackling this task, relying on classical processors, have to make a compromise between performance
Externí odkaz:
http://arxiv.org/abs/2411.05411
Publikováno v:
ICMLA 2024
Human Activity Recognition (HAR) is essential in ubiquitous computing, with far-reaching real-world applications. While recent SOTA HAR research has demonstrated impressive performance, some key aspects remain under-explored. Firstly, HAR can be both
Externí odkaz:
http://arxiv.org/abs/2410.21300
Autor:
Piron, Romain, Goursaud, Claire
Active user detection in a non-orthogonal multiple access (NOMA) network is a major challenge for 5G/6G applications. However, classical algorithms that can perform this task suffer either from complexity or reduced performances. This work aims at pr
Externí odkaz:
http://arxiv.org/abs/2407.21547
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:
Silva, Renato M., Azevedo, Gregório F., Berto, Matheus V. V., Rocha, Jean R., Fidelis, Eduardo C., Nogueira, Matheus V., Lisboa, Pedro H., Almeida, Tiago A.
Traffic incidents involving vulnerable road users (VRUs) constitute a significant proportion of global road accidents. Advances in traffic communication ecosystems, coupled with sophisticated signal processing and machine learning techniques, have fa
Externí odkaz:
http://arxiv.org/abs/2405.19202
The rapid advance of mega-constellation facilitates the booming of direct-to-satellite massive access, where multi-user detection is critical to alleviate the induced inter-user interference. While centralized implementation of on-board detection ind
Externí odkaz:
http://arxiv.org/abs/2403.03635
This letter studies the problem of jointly detecting active user equipments (UEs) and estimating their location in the near field, wherein the base station (BS) is unaware of the number of active (or inactive) UEs and their positions. The system is e
Externí odkaz:
http://arxiv.org/abs/2402.02488
In the dynamic and rapidly evolving world of social media, detecting anomalous users has become a crucial task to address malicious activities such as misinformation and cyberbullying. As the increasing number of anomalous users improves the ability
Externí odkaz:
http://arxiv.org/abs/2312.11553
In real-world online web systems, multiple users usually arrive sequentially into the system. For applications like click fraud and fake reviews, some users can maliciously perform corrupted (disrupted) behaviors to trick the system. Therefore, it is
Externí odkaz:
http://arxiv.org/abs/2310.04768