The application of the metaverse poses important challenges for the field of education. The
aim of this article is to analyze the evolution of the development of the metaverse …

In recent years, deep learning models have been more and more widely used in various
fields and have become a research hotspot for various tasks in artificial intelligence, but …

The working temperature is one of the critical factors for proton exchange membrane fuel
cell (PEMFC) stacks, as it directly influences the performance and working life of PEMFCs …

An approach based on deep reinforcement learning is proposed to address the fuel cell
thermal management system's circulating water pump and radiator control issue. The …

Extended reality (XR) is a general term for virtual reality (VR), augmented reality (AR), and
mixed reality (MR). By converting abstract digital expressions into intelligent feedback …

In the present study, a new optimized technique based on metaheuristic algorithm has been
proposed for optimal extraction capability from a proton-exchange membrane fuel cell …

In this study, the multi-objective orthogonal experiment is employed to optimize the
geometric parameters of the ejector. The optimization objective is determined by applying …

In this paper, to maximize the net output power and realize better performance optimization
and control of the oxygen excess ratio, a complete dynamic model of the proton-exchange …

Proton exchange membrane fuel cells (PEMFCs) are attracting attention for their green,
energy-saving, and high-efficiency advantages, becoming one of the future development …

This study introduces a novel framework that leverages artificial intelligence (AI), specifically
deep learning and reinforcement learning, to enhance energy efficiency in architectural …