Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …

Abstract Structure learning is a very important problem in the field of Bayesian networks
(BNs). It is also an active research area for more than 2 decades; therefore, many …

The author presents a unified treatment of this highly interdisciplinary topic to help define the
notion of cognitive radio. The book begins with addressing issues such as the fundamental …

Adding cognition to existing Wireless Sensor Networks (WSNs) with a cognitive networking
approach, which deals with using cognition to the entire network protocol stack to achieve …

5G wireless devices are expected to be the main cause of the rapid increase in Internet
traffic. One of the solutions is to develop the mobile devices that can deal with local traffic …

We present a hair model together with rendering algorithms suitable for real-time rendering.
In our approach, we take into account the major lighting factors contributing to a realistic …

Tactical communication networking faces diverse operational scenarios where network
optimization is a very challenging task. Learning from the network environment, in order to …

This paper presents an end-to-end algorithm for detecting a shared congested router in the
internet when communication is established using multiple paths between wireless devices …

The global spread of wireless devices with mobile Internet access and the increasing
demand of multimedia‐based applications are fueling the need for wireless broadband …