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 …
and provide scientific strategies for intelligent traffic management. At the same time, real …
A low-latency edge computation offloading scheme for trust evaluation in finance-level artificial intelligence of things
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 …
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …
Autonomous behavioral decision for vehicular agents based on cyber-physical social intelligence
In future smart cities supported by cyber-physical social intelligence, autonomous behavioral
decision for vehicular agents is going to become a general demand. Despite much progress …
decision for vehicular agents is going to become a general demand. Despite much progress …
Opportunistic capacity based resource allocation for 6G wireless systems with network slicing
J Huang, F Yang, C Chakraborty, Z Guo… - Future Generation …, 2023 - Elsevier
With the rapid increase of wireless application demand, 6G Wireless Systems need to further
support the heterogeneous communication service contents with limited spectrum …
support the heterogeneous communication service contents with limited spectrum …
A privacy-preserving social computing framework for health management using federated learning
Currently, health management driven by intelligent means is a general demand of social
systems. Although a number of researchers have paid attention to such areas, they have …
systems. Although a number of researchers have paid attention to such areas, they have …
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 …
the digital economy, and the core challenge it faces is how to ensure real-time interaction …
Pelican optimization algorithm with federated learning driven attack detection model in internet of things environment
Abstract The Internet of Things (IoT) is comprised of millions of physical devices
interconnected with the Internet through network that performs a task independently with …
interconnected with the Internet through network that performs a task independently with …
Survey of federated learning models for spatial-temporal mobility applications
Federated learning involves training statistical models over edge devices such as mobile
phones such that the training data is kept local. Federated Learning (FL) can serve as an …
phones such that the training data is kept local. Federated Learning (FL) can serve as an …
Cyber-Physical Systems Security: A Systematic Review
In recent years, cyber-physical systems (CPS) have been to many vital areas, including
medical devices, smart cars, industrial systems, energy grid, etc. As these systems …
medical devices, smart cars, industrial systems, energy grid, etc. As these systems …
An indoor blind area-oriented autonomous robotic path planning approach using deep reinforcement learning
Y Zhou, J Yang, Z Guo, Y Shen, K Yu… - Expert Systems with …, 2024 - Elsevier
Deep reinforcement learning (DRL) provides a new solution for autonomous robotic path
planning in a known indoor environment. Previous studies mainly focused on robot path …
planning in a known indoor environment. Previous studies mainly focused on robot path …