In this paper, we devise an efficient and flexible management for mobile edge computing
(MEC)-aided industrial Internet of Things (IIoT), from a federated learning approach. In the …

The quantum leap in mobile data traffic and high density of wireless electronic devices,
coupled with the advancements in industrial radio monitoring and autonomous systems …

In this paper, we investigate how to optimize the federated edge learning (FEEL) in
unmanned aerial vehicle (UAV)-enabled Internet of Things (IoT) for B5G/6G networks …

In this paper, we investigate intelligent ubiquitous computing for future unmanned aerial
vehicle (UAV)-enabled mobile edge computing network (MEC) systems, where multiple …

In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet
of things (IoT), where multiple users have some computational tasks assisted by multiple …

Computational task offloading at the mobile edge servers is a promising strategy to reduce
latency and energy consumption in 5G wireless networks. In this paper, we study the …

Diabetic retinopathy (DR) is a worldwide problem associated with the human retina. It leads
to minor and major blindness and is more prevalent among adults. Automated screening …

In this paper, we propose an adaptive deep learning-based unmanned aerial vehicle (UAV)
receiver design for coded multiple-input multiple-output (MIMO) systems, where the noise in …

To accelerate future intelligent wireless systems, we designed an energy-efficient Massive
multiple-input-multiple-output (MIMO)-non-orthogonal multiple access (NOMA) aided …

In this paper, a blockchained Beyond Fifth Generation (B5G) enabled malicious node
detection model is proposed for the Internet of Sensor Things (IoSTs). Moreover, a secure …