The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data
generated at the edge of the network. Edge computing, a distributed computing paradigm …

With the development and expansion of the Internet of Things, computing at the edge is
becoming increasingly important, especially for applications where real-time response is …

Modern healthcare organizations face various cy-bersecurity threats due to the digitization of
their systems. These threats include data breaches, ransomware attacks, and unauthorized …

As the research community increasingly focuses on quantifying emotional states in real-
world scenarios, there is a growing need for edge computing. In this work, we present a …

This research delves into the potential of machine learning models, namely Support Vector
Machine (SVM), XGBoost, and LightGBM, to enhance the diagnosis of Urinary Tract …

Abstract Recently, the Fog-Radio Access Network (F-RAN) has gained considerable
attention, because of its flexible architecture that allows rapid response to user …

With the rapid advance of the Internet of Things (IoT), technology has entered a new era. It is
changing the way smart devices relate to such fields as healthcare, smart cities, and …

Industry 4.0 relies heavily on artificial intelligence (AI) and cloud computing (CC), both of
which have been greatly aided by the 5-generation mobile network (5G). However, the …

A new manifestation of technological revolution is rebuilding human civilization. At the dawn
of upcoming era, large number of robust technologies like big data analytic, cloud …

Security in power systems is of utmost importance to ensure the reliable and safe operation
of electricity infrastructure. With the increasing integration of digital technologies and the …