Wheeled mobile robots (WMRs) have been a focus of research for several decades,
particularly concerning navigation strategies in static and dynamic environments. This …

Metaheuristic algorithms are optimization algorithms that are used to address complicated
issues that cannot be solved using standard approaches. These algorithms are inspired by …

Today, computer vision is considered one of the most important sub-fields of artificial
intelligence, due to the variety of its applications and capabilities to transfer the human …

The trends in the introduction of industrial and logistics robots into the social sphere of
activity in order to ensure the safety of civilian facilities, the current problems of the growth of …

Abstract Fog Cloud Computing and the Internet of Things are transforming robotics by
empowering AI-enabled autonomous systems. This study analyzes the benefits, drawbacks …

Fog computing is a framework that makes use of the features of both cloud and edge
devices to provide quality services, support mobility, reduce delay & latency, and to provide …

Management of vehicle traffic is a challenging task as it is non-deterministic by nature.
Vehicular Cyber-Physical Systems (VCPS) is the emerging field of dynamics of vehicle …

This study employs robust machine learning techniques to comprehensively assess the
classification of Iris flower species. This study investigates the effectiveness of several …

The burgeoning complexity in network management has garnered considerable attention,
specifically focusing on Software-Defined Networking (SDN), a transformative technology …

In this paper, the proposed work is to design an emergency vehicle (rescue vehicle)
equipped with sensors and an Arduino board as an edge device to gather information on …