To support the growing demand for data-intensive and low-latency IoT applications, Multi-
Access Edge Computing (MEC) is emerging as an effective edge-computing approach …

The advances introduced by Unmanned Aerial Vehicles (UAVs) are manifold and have
paved the path for the full integration of UAVs, as intelligent objects, into the Internet of …

Mobile edge computing is the network technology for providing computing resources of
edge computing server to Internet of Things (IoT) applications. Additionally, wireless power …

In recent years, more and more applied industries have relied on data collection by IoT
devices. Various IoT devices generate vast volumes of data that require efficient processing …

The power of artificial intelligence of things (AIoT) stems from adapting machine learning
(ML) and artificial intelligence (AI) models into abundant intelligent IoT fields, based on a …

Unmanned aerial vehicle (UAV)-assisted relay mobile edge computing (MEC) network is a
prominent concept, where network deployment is flexible and network coverage is wide. In …

Deploying deep neural networks (DNNs) on edge devices provides efficient and effective
solutions for the real-world tasks. Edge devices have been used for collecting a large …

The progress in the development in the field of information technology has brought the
Internet of Things (IoT) into existence to play a crucial role in our daily lives. There are …

In the era of digital transformation, industry is facing multiple challenges due to the need for
implementation of the Industry 4.0 standards, as well as the volatility of customer demands …

In recent years, deep learning (DL) models have demonstrated remarkable achievements
on non-trivial tasks such as speech recognition, image processing, and natural language …