This work presents an object placement and lookup method that achieves full placement flexibility, balanced load, low ...

Abstract: Graph neural networks (GNNs) have shown strong performance on graph-structured data but may inherit bias from training data, leading to discriminatory predictions based on sensitive ...

Abstract: Experimental auto- and cross-correlation functions and their corresponding spectral density functions (SDFs) are extracted from measured sweep data of mode-stirred fields. These are compared ...

This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...