Results 51 to 60 of about 2,605 (178)
The continuous demand for reliable and privacy‐sensitive face recognition and detection has led to improvements in machine learning and federated learning (FL) frameworks. While the centralized framework of existing solutions is beneficial for data collection, it presents significant privacy concerns and challenges due to the diversity of data types ...
Wisam Hazim Gwad +4 more
wiley +1 more source
This article presents an adaptive unmanned aerial vehicle video streaming framework in which captured video is encoded at multiple quality levels and protected using Luby transform (LT) coding before transmission over a wireless channel to a base station. At the receiver, LT decoding and latency monitoring are used to assess delivery performance, while
Sudeep Govindan Nair +7 more
wiley +1 more source
The advent of 6G marks a transformative phase in wireless communication, ushering in a hyperconnected experience. This paper explores optimizing sidelink technologies in Vehicle-to-Everything (V2X) communication through integrating 6G capabilities ...
Annu, P. Rajalakshmi
doaj +1 more source
This paper presents a review of analysis and optimisation methodologies for multishaper and multidomain Time‐Sensitive Networks (TSN), examining the integration of the time‐aware shaper (TAS) with mechanisms such as CBS, ATS and CQF. We analyse orchestration architectures for TSN federation, DetNet and wireless integration, highlighting the scalability
Voica Gavriluţ, Paul Pop
wiley +1 more source
This review synthesizes current research on digital twin enabled additive manufacturing, presenting a structured classification of architectures, integration levels, and operational maturity. It highlights key technological gaps and outlines future research directions toward intelligent, scalable, and autonomous manufacturing systems.
Mahfuz Ahmed Anik +5 more
wiley +1 more source
V2X (Vehicle to everything) communications can be currently supported by standards based on IEEE 802.11p (e.g. DSRC or ITS-G5) or LTE-V2X (also known as Cellular V2X or C-V2X) technologies.
Rafael Molina-Masegosa +2 more
doaj +1 more source
V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors
The advancement of Connected and Automated Vehicles (CAVs) and Vehicle-to-Everything (V2X) offers significant potential for enhancing transportation safety, mobility, and sustainability. However, the integration and analysis of the diverse and voluminous V2X data, including Basic Safety Messages (BSMs) and Signal Phase and Timing (SPaT) data, present ...
Keshu Wu +10 more
openaire +2 more sources
RSU‐Assisted Resource Map Sharing to Enhance Reliability in 5G NR V2X Mode 2
Wireless blind spots (WBS) cause persistent collisions in 5G new radio vehicle‐to‐everything Mode 2 sensing‐based semi‐persistent scheduling due to hidden terminals and half‐duplex sensing. We propose roadside unit‐assisted resource map sharing service (RMSS) that shares an occupancy bitmap via PC5 or bitmap+RC via Uu for delay‐compensated ...
Seung‐Jae Yu, Cheol Mun
wiley +1 more source
Performance evaluation of 5G cellular vehicle networks
Cellular vehicle networks (C-V2X) is one of the key technologies of intelligent transportation systems.Ve-hicles exchange information with surrounding information entities in real time to ensure traffic safety and improve traffic efficiency,which meets ...
Jun WANG +4 more
doaj +2 more sources
LoS/NLoS Identification in UAV‐Assisted LoRa Networks via Chirp Correlation Features
This letter proposes a lightweight gated feature fusion approach for LoS/NLoS identification in UAV‐assisted LoRa communications. By adaptively combining correlation peak magnitude and width features, the proposed method achieves robust detection performance under low‐SNR conditions without relying on machine learning.
Huda Ajel Jihad +2 more
wiley +1 more source

