The practical effects of incorporating artificial intelligence (AI) into Industry 5.0 smart city
services are made evident by this empirical research. The use of AI-powered smart traffic …

Using simulation and empirical data analysis, this research examines the efficacy of real-
time traffic control in smart cities. Traffic data collected in real time from strategically placed …

This study offers a thorough comparative analysis of the life cycle assessment of three
significant energy storage technologies—Lithium-Ion Batteries, Flow Batteries, and Pumped …

This study investigates the use of reinforcement learning (RL) techniques as a dynamic
control mechanism to enhance the management of energy storage in smart grid systems …

This study investigates the optimization of the size of a solar-wind hybrid microgrid using
Particle Swarm Optimization (PSO) to improve energy production efficiency, economic …

This study explores the use of Internet of Things (IoT) based predictive maintenance
techniques for sustainable transportation fleets. It utilizes various datasets to enhance …

In the study of" Effective Emergency Communication through Public Displays," our research
indicates major advancements and problems in using public displays to disseminate …

The paper examines the use of genetic algorithm (GA) methods to optimize hybrid
renewable energy microgrids by merging various renewable sources and energy storage …

This study investigates the optimization of the size of a solar wind hybrid microgrid using
Particle Swarm Optimization (PSO) to improve energy production efficiency, economic …

This research examines the properties of advanced nanomaterials such as graphene,
carbon nanotubes (CNTs), and metal-organic frameworks (MOFs) for use in sustainable …