Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

In this survey paper, we characterize the learning problem in cognitive radios (CRs) and
state the importance of artificial intelligence in achieving real cognitive communications …

As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …

This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …

Data science or “data-driven research” is a research approach that uses real-life data to gain
insight about the behavior of systems. It enables the analysis of small, simple as well as …

The cognitive radio (CR) paradigm for designing next‐generation wireless communications
systems is becoming increasingly popular, and different aspects of it are being implemented …

This book examines signal processing techniques for cognitive radios. The book is divided
into three parts: Part I, is an introduction to cognitive radios and presents a history of the …

While deep machine learning technologies are now pervasive in state-of-the-art image
recognition and natural language processing applications, only in recent years have these …

Applications of machine learning are subject to three major components that contribute to
the final performance metrics. Within the category of neural networks, and deep learning …

The performance of existing signal detection methods depends heavily on the amount of
prior information acquired by the sensor of interest. Therefore, to improve cognitive radio …