Deep learning based on multimedia encoding to enhance video quality
Over the years, video compression has become a key method of sharing information and communicating in the world of media. The future image quality of the ISO standards groups will expect high quality images. Also, visual video codecs (VVC) have optimised ...
Internet of things producer mobility management in named data networks: a survey, outlook, and open issues
The rapid and enormous development of smart mobile devices and their high content demands challenges the sustainability of the current internet architecture. The growing trend of smart mobile devices in the mobile environment has led to mobility becoming ...
Effect of different attack strategies on controllability robustness of directed complex networks
This article summarises the controllability robustness of various directed complex networks under different attack strategies. Based on the theory of node-degree, edge-degree, node-betweenness and edge-betweenness, the controllability robustness ...
Cluster-based combined hybrid relay vehicle selection approach for improving performance and reliability in vehicular ad hoc networks
One of the main objectives of smart transport systems is to improve road safety. Ad hoc vehicle networks use vehicle accident alert systems that broadcast crashes to vehicles. Reliable and timely receipt of messages are two of the main intents for the ...
Leveraging the capsule network to learn content text for collaborative filtering
At present, most of the building components, technologies and frameworks of deep learning are based on convolutional networks. However, some deep learning studies on image processing have shown that the capsule network can be more representational because ...
