A fundamental challenge for machine learning (ML) models for electromagnetics is their
ability to predict output quantities of interest (such as fields and scattering parameters) in …

The rapid expansion of wireless communication mandates the development of efficient and
computationally light solutions for base station deployment. Despite the manifold …

As a growing number of wireless services with high performance demands is offered, their
intelligent planning and efficient management becomes more urgent. To that end, channel …

Ray Tracing is a deterministic propagation modeling approach that estimates the signal
power received in specific geographical locations based on a thorough consideration of the …

In this paper, we examine the effect of physics-based input data in artificial neural network
(ANN) for indoor propagation. Our prior knowledge of electromagnetic propagation forms …

We are presenting examples of artificial intelligence enabled algorithms for radiowave
propagation modeling and their application to practical problems of interests. We use …

The modern world is filled with internet enabled devices. Where we used to depend on
paper record we now rely on digital back ups. Connecting to the internet used to be a …