With advancements of cloud technologies Multi-Access Edge Computing (MEC) emerged as
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …

The global objective of achieving net-zero emissions drives a significant electrified trend by
replacing fuel-mechanical systems with onboard microgrid (OBMG) systems for …

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 …

The handling of emergencies like severe wind and foreign matter collision in high-speed
railways is a typical human-in-the-loop complex task. Conventional approaches find it …

Open-terrain field vehicle (OTFV) fleets, including mining trucks, construction machinery,
and agricultural machinery, often encounter significantly more intricate scenarios and …

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 …

Multi-access edge computing (MEC) technology is widely deployed at the edge of Vehicular
Ad hoc Networks (VANETs) to enhance their communication and computational capabilities …

Device to device (D2D) is becoming one of the critic technologies of green smart cities. The
uplink power allocation is investigated, when D2D users reuse subchannels of cellular …

Based on the characteristics of behavioral patterns, this paper constructs a data-driven
knowledge discovery framework for smart education management. The aim is to realize …

Virtual Reality (VR) is a key industry for the development of the digital economy in the future.
Mobile VR has advantages in terms of mobility, lightweight and cost-effectiveness, which …