Abstract: Graph Neural Networks (GNNs) have emerged as a powerful framework for analyzing and extracting information from complex network data. In the realm of Digital Twin Networks (DTN), where ...

Abstract: The strong data fitting ability of neural networks (NNs) makes them widely used in research on digital predistortion (DPD) for mitigating the nonlinear effects of power amplifiers (PAs).

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...

A leak of the EU’s proposed Digital Networks Act (DNA) reveals the bloc looks to have dropped the so-called "fair share" clause that would have forced large traffic-generating platforms like Netflix ...

Add Yahoo as a preferred source to see more of our stories on Google. Will Trent on Will Trent; Alex and Serena on St. Denis Medical; Bobby and Athena on 9-1-1 - MovieStillsDB.com (3) A new calendar ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...