Although vehicles are the most commonly used means of transportation in our daily lives,
their computational power and memory resources are often ignored. The new paradigm …

The Internet has surpassed print media such as newspapers and magazines as the primary
medium for disseminating public news because of its rapid transmission and widespread …

In recent years, satellite-integrated content centric networking (SCCN) has become an
important solution for the future network with excellent bandwidth savings and file …

Considering the ubiquity of data, purchase and churn prediction have become crucial for
data-driven decision-making. While many sectors have benefited from the abundance of …

Abstract User-Generated Content (UGC) is turning into the predominant type of internet
traffic. Content popularity prediction plays a pivotal role in managing this large-scale traffic …

Traditional recommendation systems have limited possibilities to optimise business value in
editorial decision making in news production, as they select the recommendations only from …

The prediction of news popularity is having substantial importance for the digital
advertisement community in terms of selecting and engaging users. Traditional approaches …

Currently, many people share news, links, or videos, without being aware of the impact they
can have on people's decisions or ways of acting. A clear example, recently experienced in …

In the world today, online news content's reading and sharing are increasing with each
passing day. Shares, likes, comments, and subscriptions for any news article showcase the …

The fundamental objective of this research is to investigate several approaches that may be
used to enhance the precision of recent machine learning algorithms that are used to …