Generative adversarial networks for prognostic and health management of industrial systems: A review

Q Li, Y Tang, L Chu - Expert Systems with Applications, 2024 - Elsevier
Generative adversarial networks (GANs) have recently attracted attention owing to their
impressive ability in generating high-quality and novel synthetic datasets such as signals …

A survey of generative ai for intelligent transportation systems

H Yan, Y Li - ar** …
X Wang, S Li, Y Cao, T **n, L Yang - Engineering Applications of Artificial …, 2022 - Elsevier
The development of autonomous transportation systems has received increasing attention
over the last decades. Different from existing automatic train control systems, the decision …

A service-oriented energy efficient resource allocation approach for wireless communications of the tunnel construction

P Ning, H Wang, T Tang, L Zhu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Tunnel construction is a dynamic excavation process that requires a variety of construction
machinery and workers to cooperate according to standard procedures. However, due to …

Energy Gen-AI Technology Framework: A perspective of energy efficiency and business ethics in operation management

L Fontoura, DL de Mattos Nascimento, JV Neto… - Technology in …, 2025 - Elsevier
Considering the mounting request for viable energy solutions emphasising sustainability,
this study addresses the context by positioning Generative Artificial Intelligence (Gen-AI) as …

Enhancing subway efficiency on y-shaped lines: a dynamic scheduling model for virtual coupling train control

C Chen, L Zhu, X Wang - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
A novel approach based on virtual coupling of train control systems in subway lines has the
potential to enhance transportation efficiency. Y-shaped lines have proven to be valuable in …

Distributed optimal control to virtual formation of railway trains with dynamic coupling/decoupling: an accelerated projected gradient based decomposition method

Y Zhang, S Li, L Yang - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
To improve the operational efficiency of railway traffic systems, this article designs
distributed optimal control for railway trains based on the virtual formation technology. The …

An integrated train scheduling optimization approach for virtual coupling trains

C Chen, L Zhu, X Wang - 2022 IEEE 25th international …, 2022 - ieeexplore.ieee.org
As a state-of-the-art train control technology, virtual coupling provides a flexible and efficient
operation scheme for urban rail transits. In this paper, an integrated train scheduling method …

Emerging Trends in Machine Learning assisted Optimization Techniques Across Intelligent Transportation Systems

BI Afolayan, A Ghosh, JF Calderin… - IEEE Access, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) plays a critical role in Intelligent Transport Systems (ITS) as urban
areas grow by processing data for safety enhancements, predictive analysis, and traffic …