Abstract: Sparsification and low-rank decomposition are two important techniques to compress deep neural network (DNN) models. To date, these two popular yet distinct approaches are typically used in ...

Abstract: In this paper, we propose a nested sampling based off-grid block sparse representation method (Nested-OGBSR) for time-delay estimation (TDE) of coherent ground penetrating radar (GPR) ...

Phillips — the nation’s critical infrastructure partner — is proud to announce the official launch of Phillips Power, LLC, a dedicated operating company focused exclusively on delivering integrated ...

As transit agencies transition to electric buses, they face challenges like depot redesign, centralized charging, and utility ...