A deep learning-based fast fake news detection model for cyber-physical social services

Q Zhang, Z Guo, Y Zhu, P Vijayakumar… - Pattern Recognition …, 2023 - Elsevier
With the prevalence of social network service in cyber-Physical space, flow of various fake
news has been a rough issue for operators of social service. Although many theoretical …

A low-latency edge computation offloading scheme for trust evaluation in finance-level artificial intelligence of things

X Zhu, F Ma, F Ding, Z Guo, J Yang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …

A parallel intelligence-driven resource scheduling scheme for digital twins-based intelligent vehicular systems

J Yang, F Lin, C Chakraborty, K Yu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Real-time digital twin technology can enhance traffic safety of intelligent vehicular system
and provide scientific strategies for intelligent traffic management. At the same time, real …

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 …

Prediction and control of water quality in Recirculating Aquaculture System based on hybrid neural network

J Yang, L Jia, Z Guo, Y Shen, X Li, Z Mou, K Yu… - … Applications of Artificial …, 2023 - Elsevier
Abstract In the Recirculating Aquaculture Systems (RAS), the control of water quality indices
remains essential to survival and growth of aquaculture objects. This requires effect …

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
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 …

Adversarial Deep Learning based Dampster–Shafer data fusion model for intelligent transportation system

SM Nagarajan, GG Devarajan, TV Ramana, AK Bashir… - Information …, 2024 - Elsevier
Abstract Intelligent Transportation Systems (ITS) have revolutionized transportation by
incorporating advanced technologies for efficient and safe mobility. However, these systems …

Blockchain enabled task offloading based on edge cooperation in the digital twin vehicular edge network

C Li, Q Chen, M Chen, Z Su, Y Ding, D Lan… - Journal of Cloud …, 2023 - Springer
The rapid development of the Internet of Vehicles (IoV) along with the emergence of
intelligent applications have put forward higher requirements for massive task offloading …

A Deep Reinforcement Learning-Based Optimal Computation Offloading Scheme for VR Video Transmission in Mobile Edge Networks

X Xu, Y Song - IEEE Access, 2023 - ieeexplore.ieee.org
Large bandwidth, Low latency and intensive computing are the main challenge in high-
performance virtual reality (VR) video transmission. As mobile edge computing (MEC) can …

[PDF][PDF] An intelligent scheduling control method for smart grid based on deep learning

Z Tong, Y Zhou, K Xu - Math. Biosci. Eng, 2023 - aimspress.com
Nowadays, data analysis is been the most important means to realize power scheduling in
smart grids. However, the sharp increase in business data of grids has posed great …