IEEE

Robust Linear-in-the-Parameters Nonlinear Graph Diffusion Adaptive Filter Over Sensor Network

Abstract: In recent years, there has been a growing interest in graph signal processing due to its capability to model and analyze irregular data generated by wireless sensor networks (WSNs).
IEEE

GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations

Abstract: We propose GNN-Surrogate, a graph neural network-based surrogate model to explore the parameter space of ocean climate simulations. Parameter space exploration is important for domain ...
Frontiers

Early postoperative liver function parameters as predictors of post-hepatectomy liver failure

1 Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany 2 DKFZ Hector Cancer Institute at the University Medical Center Mannheim, ...