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 ...