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 …

In the world, the technological and industrial revolution is accelerating by the widespread
application of new generation information and communication technologies, such as AI, IoT …

The rapid increase in the volume of video data generated from edges in the Industrial
Internet of Things, opens up new possibilities for enhancing the application of video service …

This work aims to improve the efficiency of logistics distribution in the international trade
environment by optimizing the distribution path of the e-commerce supply chain model …

Distributed edge intelligence is a disruptive research area that enables the execution of
machine learning and deep learning (ML/DL) algorithms close to where data are generated …

Recently, Vulnerable Traffic Participants (VTPs) trajectory prediction has got some attention,
which can help autonomous vehicles better understand complex traffic environments. This …

The emergence of edge computing can effectively tackle the problem of large transmission
delays caused by the long-distance between user devices and remote cloud servers. Users …

With the increasing complexity of network topologies and architectures, adding intelligence
to the network control plane through Artificial Intelligence and Machine Learning (AI&ML) is …

To accomplish reliable pedestrian detection using unmanned aerial vehicles (UAVs) under
night-time conditions, an image enhancement method is developed in this article to improve …

Progression in the popularity of social media activities had provided huge amount of data in
the form of text that can immeasurably augment its specialty. This textual data offers a …