The communication and networking field is hungry for machine learning decision-making
solutions to replace the traditional model-driven approaches that proved to be not rich …

The history of human development has proven that medical and healthcare applications for
humanity always are the main driving force behind the development of science and …

In the past several years, the world has witnessed an acute surge in the production and
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …

Although the existing machine learning-based intrusion detection systems in the Internet of
Things (IoT) usually perform well in static environments, they struggle to preserve their …

Recommendation systems are often challenged by the existence of cold-start items for which
no previous rating is available. The standard content-based or collaborative-filtering …

The trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so
on is increasing by means of cloud computing, which provides on-demand storage and …

The advances and convergence in sensor, information processing, and communication
technologies have shaped the Internet of Things of today. The rapid increase of data and …

In the context of distributed machine learning, the concept of federated learning (FL) has
emerged as a solution to the privacy concerns that users have about sharing their own data …

The Internet of Things (IoT) technology provisions unprecedented opportunities to evolve the
interconnection among human beings. However, the latency brought by unstable wireless …

The fog-assisted cloud computing gives better quality of service (QoS) to Internet of things
(IoT) applications. However, the large quantity of data transmitted by the IoT devices results …