A novel fake news detection model for context of mixed languages through multiscale transformer

Z Guo, Q Zhang, F Ding, X Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fake news detection has been a more urgent technical demand for operators of online
social platforms, and the prevalence of deep learning well boosts its development. From the …

Cloud-edge-end collaborative caching based on graph learning for cyber-physical virtual reality

J Yang, Z Guo, J Luo, Y Shen, K Yu - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
Virtual reality (VR) is an important landing scenario for 5G and a key enabling technology for
the digital economy, and the core challenge it faces is how to ensure real-time interaction …

Swarm learning-based dynamic optimal management for traffic congestion in 6G-driven intelligent transportation system

Y Liu, L Huo, J Wu, AK Bashir - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
As city boundaries expand and the vehicles continues to proliferate, the transportation
system is increasingly overloaded, greatly increasing people's commuting burden and …

Incorporation of energy efficient computational strategies for clustering and routing in heterogeneous networks of smart city

VK Venkatesan, I Izonin, J Periyasamy, A Indirajithu… - Energies, 2022 - mdpi.com
For decision-making and governance, smart cities depend on tracking data collected via a
substantial percentage of wireless sensing nodes. However, several limitations affect …

[PDF][PDF] A fuzzy logic and DEEC protocol-based clustering routing method for wireless sensor networks

N Subramani, A Mardani, AR Mishra, P Ezhumalai - AIMS Math, 2023 - aimspress.com
A fuzzy logic and DEEC protocol-based clustering routing method for wireless sensor
networks Page 1 AIMS Mathematics, 8(4): 8310–8331. DOI: 10.3934/math.2023419 …

Sustainable and transferable traffic sign recognition for intelligent transportation systems

W Cao, Y Wu, C Chakraborty, D Li… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Traffic Sign Recognition (TSR) is an essential component of Intelligent Transportation
Systems (ITS) and intelligent vehicles. TSR systems based on deep learning have grown in …

Risk assessment of driver performance in the oil and gas transportation industry: Analyzing the relationship between driver vigilance, attention, reaction time, and safe …

ABA Al-Mekhlafi, ASN Isha, N Chileshe, AF Kineber… - Heliyon, 2024 - cell.com
The increasing use of road traffic for land transportation has resulted in numerous road
accidents and casualties, including those involving oil and gas tanker vehicles. Despite this …

A Vehicle-Road Urban Sensing Framework for Collaborative Content Delivery in Freeway-Oriented Vehicular Networks

X Zhu, Q Hua, W Yan, Z Guo, K Yu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The urban sensing provides a fundamental computing environment for smart cities, in which
ubiquitous vehicular networks are an important component. Due to the limitation of urban …

A remote sensing image rotation object detection approach for real-time environmental monitoring

W Tang, F He, AK Bashir, X Shao, Y Cheng… - … Energy Technologies and …, 2023 - Elsevier
For the problems of resources and environment faced in sustainable development, the use
of remote sensing image object detection technology is an effective means to detect and …

Efficient Network Slicing with SDN and Heuristic Algorithm for Low Latency Services in 5G/B5G Networks

R Botez, AG Pasca, AT Sferle, IA Ivanciu, V Dobrota - Sensors, 2023 - mdpi.com
This paper presents a novel approach for network slicing in 5G backhaul networks, targeting
services with low or very low latency requirements. We propose a modified A* algorithm that …