Abstract Machine learning is as growing as fast as concepts such as Big data and the field of
data science in general. The purpose of the systematic review was to analyze scholarly …

While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …

Supervised and unsupervised learning algorithms have shown a great potential in
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …

Physical world integration with cyber world opens the opportunity of creating smart
environments; this new paradigm is called the Internet of Things (IoT). Communication …

Abstract Internet of Things (IoT) is a key technology trend that supports our digitalized
society in applications such as smart countries and smart cities. In this study, we investigate …

The study provides the current overview of P2P lending in Bahrain especially for the small
and medium enterprises (SME) sector and proposes a machine learning-based Islamic …

Machine learning (ML) is now widespread. Traditional software engineering can be applied
to the development ML applications. However, we have to consider specific problems with …

Disruptive technologies like Internet of Things, Machine learning, and Artificial Intelligence is
gaining acceptance among businesses and individual as they realize its potential for driving …

Deep learning (DL) has demonstrated superior success in various of applications, such as
image classification, speech recognition, and anomalous detection. The unprecedented …

Media services must ensure an enhanced user's perceived quality during content playback
to attract and retain audiences, especially while the streams are distributed remotely via …