M2BIST-SPNet: RUL prediction for railway signaling electromechanical devices

X Hu, L Tan, T Tang - The Journal of Supercomputing, 2024 - Springer
Railway signaling electromechanical devices (RSEDs) play a pivotal role in the railway
industry. Normal wear and tear of these devices occur during day-and-night operation and …

Machine learning in urban rail transit systems: a survey

L Zhu, C Chen, H Wang, FR Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern
public transportation, attributed to their unparalleled convenience, high efficiency, and …

Blockchain-cloud privacy-enhanced distributed industrial data trading based on verifiable credentials

J Fang, T Feng, X Guo, R Ma, Y Lu - Journal of Cloud Computing, 2024 - Springer
Industrial data trading can considerably enhance the economic and social value of
abundant data resources. However, traditional data trading models are plagued by critical …

Adaptive Path-Tracking Controller Embedded With Reinforcement Learning and Preview Model for Autonomous Driving

Q Xia, P Chen, G Xu, H Sun, L Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Path tracking control is a crucial function in an autonomous vehicle. Previous studies have
presented conventional model-based controllers, which lack generalization ability …

Optimizing edge resources in intelligent railway construction: A two-level game approach

J Tian, L Zhu, F Richard, H Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the development of digitization, railways have also entered the era of intelligent
construction. Intelligent construction can effectively improve the safety and efficiency of …

Predicting Channel Delay State Information in 5GTSN Systems Using Extreme Learning Machine Auto-Encoder (ELM-AE) Model Based on Intelligent Deep Extreme …

C Zhang, J Wang, M Fu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
This article investigates the joint scheduling of cross-channel traffic resources in 5G-time-
sensitive networks (TSNs) and proposes an adaptive prediction method suitable for cross …

Time-Space-Based Virtual Coupling High-Speed Train Separation Model and Trajectory Planning

Y Dun, W ShangGuan, H Song… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Virtual coupling is proposed as a blocking mode to address the increasing demand for
railway transport capacity, which takes operation efficiency further improve by separating …

Game-Theoretic Security Analysis in Heterogeneous IoT Networks: A Competition Perspective

Y Zhu, H Wu, X Tao, S Wang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Many interconnected terminals in the Internet of Things (IoT) networks raise significant
security risks. From a competitive perspective, the many heterogeneous nodes, including …

Air–ground integrated artificial intelligence of things with cognition-enhanced interference management

C Ren, J Song, M Qiu, Y Li, X Wang - EURASIP Journal on Advances in …, 2024 - Springer
Integrated air–ground network enhances AIoT performance by improving spectral efficiency,
achieving high-speed, stable network connectivity, and enabling sensing, learning, and …

Study on spatial and temporal correlation characteristics for RIS-aided macrocell high-speed railway propagation systems

B Zhou, K Zhao, Y Zhao, Y Abulihaiti, C Yang… - The Journal of …, 2024 - Springer
Reconfigurable intelligence surface (RIS) consists of a large number of low-cost passive
reflecting elements has attracted significant attention from communication communities …