Abstract: Statistical models of inter-point distances are pivotal for analyzing and optimizing wireless communication networks and other spatial systems, such as vehicular swarms and distributed ...
Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
Abstract: Computing latency is an important system metric for Deep Neural Networks (DNNs) accelerators. To reduce latency, this work proposes LV, a latency-versatile floating-point engine (FP-PE), ...
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At first glance, it’d be easy to mistake one of HP’s newest computers for something else. That’s because the HP EliteBoard G1a looks almost exactly like a normal PC keyboard. Measuring 358 x 118 x ...
Abstract: This paper addresses the challenges faced by 6G-enabled vehicular networks (V-Nets), including increasing road traffic, ultra-reliable and low latency communication, high data rates, and ...
Abstract: Space-air-ground integrated networks (SAGINs) face unprecedented security challenges due to their inherent characteristics, such as multidimensional heterogeneity and dynamic topologies.
Abstract: We present CO-Net++, a cohesive framework that optimizes multiple point cloud tasks collectively across heterogeneous dataset domains with a two-stage feature rectification strategy. The ...
“Point Break” is smacking the lip once more, as AMC Networks is developing a TV adaptation of the 1991 surf action flick, Variety has confirmed. The series is set in 2026, 35 years after the events of ...
Abstract: This article proposes a method to detect change points in dynamic social networks using Fréchet statistics. We address two main questions: 1) what metric can quantify the distances between ...
Abstract: The self-attention (SA) network revisits the essence of data and has achieved remarkable results in text processing and image analysis. SA is conceptualized as a set operator that is ...
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