Quantum mechanics and relativity are the two pillars of modern physics. However, for over a century, their treatment of space ...

University of Mississippi medical School graduate Dr. Bill Ashford and his wife, Leslie, of Madison, made a $2 million ...

Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...

Abstract: The growing adoption of Distributed Energy Resources (DERs) has introduced challenges to the power distribution network, including voltage fluctuations, system uncertainty, and dynamic load ...

Conditional Independence (CI) graphs are a type of probabilistic graphical models that are primarily used to gain insights about feature relationships. Each edge represents the partial correlation ...

We consider the detection of activations over graphs under Gaussian noise, where signals are piece-wise constant over the graph. Despite the wide applicability of such a detection algorithm, there has ...