The main idea is to utilize graph convolutional network (GCN ... Most importantly, this network introduces a new method for device representation using graphs. It explicitly encodes the coupling ...

As college sports teams go, the Texas Longhorns are up there with the most iconic – and that includes their legendary logo. Naturally, it's no mean feat to redesign a beloved emblem, but graphic ...

Abstract: Time-frequency (T-F) domain methods for monaural speech enhancement have benefited from the success of deep learning. Recently, focus has been put on designing two-stream network models to ...

Our goal is to build a high-performance Knowledge Graph tailored for Large Language Models (LLMs), prioritizing exceptionally low latency to ensure fast and efficient information delivery through our ...

The concept of representation is commonly treated as indispensable to research on brains, behavior, and cognition. Nevertheless, systematic evidence about the ways the concept is applied remains ...