Polycystic ovary syndrome (PCOS) is the most prevalent endocrinological abnormality and
one of the primary causes of anovulatory infertility in women globally. The detection of …

In this paper, we propose a Distributed Intelligent Video Surveillance (DIVS) system using
Deep Learning (DL) algorithms and deploy it in an edge computing environment. We …

A deep neural network (DNN) has become increasingly popular in industrial Internet of
Things scenarios. Due to high demands on computational capability, it is hard for DNN …

Multiaccess mobile edge computing (MA-MEC) has been envisioned as one of the key
approaches for enabling computation-intensive yet delay-sensitive services in future …

In vehicular networks, in-vehicle user equipment (UE) with limited battery capacity can
achieve opportunistic energy saving by offloading energy-hungry workloads to vehicular …

Machine learning (ML) is powering a rapidly-increasing number of web applications. As a
crucial part of 5G, edge computing facilitates edge artificial intelligence (AI) by ML model …

Vehicular fog computing has emerged as a cost-efficient solution for task processing in
vehicular networks. However, how to realize effective server recruitment and reliable task …

Mobile Edge Computing (MEC) has been widely employed to support various Internet of
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …

Machine-to-machine communication with autonomous data acquisition and exchange plays
a key role in realizing the “control”-oriented tactile Internet applications such as industrial …

Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …