Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

Abstract The Agriculture 4.0, also called Smart Agriculture or Smart Farming, is at the origin
of the production of a huge amount of data that must be collected, stored, and processed in a …

The Internet of Things and multimedia devices generate a tremendous amount of data. The
transfer of this data to the cloud is a challenging problem because of the congestion at the …

Introduction. In the field of research, we are familiar to employ ready-to-use commercial
solutions. This bibliographic review highlights the various technological paths that can be …

Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …

Federated learning (FL) has emerged as a promising technique for preserving user privacy
and ensuring data security in distributed machine learning contexts, particularly in edge …

As a newly emerged promising computing paradigm, Multi-access Edge Computing (MEC)
is capable of energizing massive Internet-of-Things (IoT) devices around us and novel …

As the most promising machine learning technology, deep neural networks (DNNs) have
garnered significant attention in the field of disease diagnosis, ie, DNN-empowered disease …

This article aims to provide a systematic review of existing research on the use of digital
game-based learning (DGBL) technology for foreign language (English) in preschool and …

With the development of multi-access edge computing (MEC), the cloudlet at the edge of the
network can provide nearby high-performance computing services, thus reducing the …