The Big Data revolution promises to transform how we live, work, and think by enabling
process optimization, empowering insight discovery and improving decision making. The …

The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …

The traditional algorithms of artificial intelligence and neural networks have many limitations
to process big data in real time. Therefore, the researchers introduce the concept of deep …

Social media analytics (SMA) has recently emerged as a dominant research field due to the
usage of social media platforms, globally. The SMA usually involves the primary steps of …

Transfer learning is an emerging research area which extracts knowledge from one or more
than one source domains and utilizes this gained knowledge to perform some task in a …

Today, the amount of data collected is exploding at an unprecedented rate due to
developments in Web technologies, social media, mobile and sensing devices and the …

In a general scenario, the approaches linked to the innovation of large-scaled data seem
ordinary; the informational measures of such aspects can differ based on the applications as …

As the amount of data is increasing over the tremendous rate, it is extremely viable to imply
smart analysis. It deals with optimization of performance criterion dealing with examples …

In broadband wireless communications, one of the main problems facing it is the limited
availability of the spectrum needed to provide high-speed telecommunications services at …