HydroGraphNet boosts watershed predictions of daily flow and nitrogen in sparse data regions

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...
Kennesaw State University

Engineering, game design faculty turn nuclear science into interactive learning experience

At Kennesaw State University, learning about nuclear energy isn’t limited to textbooks and lectures. Researchers are ...
IEEE

Topology-Aware Graph Neural Network-Based State Estimation for PMU-Unobservable Power Systems

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...
IEEE

Reinforcement Learning-Based Dynamic Beam Hopping and Power Allocation for RSMA-Assisted Constrained-Input Satellite System

Abstract: This paper investigates a dynamic beam hopping and power allocation problem in rate-splitting multiple access (RSMA) assisted multi-beam satellite system, in which beam services are ...