Microgrid based VANET monitoring and energy management in 5G networks by reinforcement deep learning techniques
Several novel technologies have evolved as a result of the advancement of wireless
communication, such as the vehicle-to-vehicle communication system known as VANETs …
communication, such as the vehicle-to-vehicle communication system known as VANETs …
Machine learning based data collection protocol for intelligent transport systems: a real-time implementation on Dublin M50, Ireland
M Gillani, HA Niaz - Complex & Intelligent Systems, 2024 - Springer
The continuous global urbanization with rapid and dynamic transitioning in traffic situations
among highly populated cities results in difficulty for data collection and communication …
among highly populated cities results in difficulty for data collection and communication …
Vehicular network energy storage system with renewable analysis using deep learning architectures
The prevalence of renewable energy sources (RES) like solar photovoltaic (PV) systems that
use power electronics as interfaces, grid frequency instability has been an issue in recent …
use power electronics as interfaces, grid frequency instability has been an issue in recent …
2DP-FHS: 2D Pareto Optimized Fog Head Selection for Multiple EEG Healthcare Data Analysis and Computations
In recent years, the increase in healthcare data demands the adoption of fog computing for
fast processing and analysis of large data volumes. Fog computing enables real-time data …
fast processing and analysis of large data volumes. Fog computing enables real-time data …
A Novel Approach for Secure and Efficient VANET Communication: Integrating Clustering, Curve Fitting, and Fog Computing.
In this study, we propose a novel approach to enhance the security and efficiency of
Vehicular Ad-Hoc Networks (VANETs) by integrating user authentication and cluster-based …
Vehicular Ad-Hoc Networks (VANETs) by integrating user authentication and cluster-based …