We review machine learning and its applications in a wide range of electromagnetic
problems, including radar, communication, imaging and sensing. We extensively discuss …

With the development of internet of things, latency-sensitive applications such as
telemedicine are constantly emerging. Unfortunately, due to the limited computation capacity …

Deep learning has entered a period of designing, implementing, and deploying intensive
and diverse applications, which are now visible in numerous areas. Successful case studies …

The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless
technologies in order to fulfill the ever-growing needs for higher data rates and improved …

This book sets out to provide the theoretical foundations that will enable radio network
planners to plan model and optimize radio networks using state-of-the-art findings from …

For decades, optimization has played a central role in addressing wireless resource
management problems such as power control and beamformer design. However, these …

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 …

Integrating the multitude of emerging internet of things (IoT) applications with diverse
requirements in beyond fifth generation (B5G) networks necessitates the coexistence of …

The next-generation wireless networks are evolving into very complex systems because of
the very diversified service requirements, heterogeneity in applications, devices, and …

Deep reinforcement learning has recorded remarkable performance in diverse application
areas of artificial intelligence: pattern recognition, robotics, object segmentation …