IEEE

Explaining and Predicting Mobile Network Performance From Multi-Operator Data Using Machine Learning

Abstract: Reliable mobile networks are essential for various emerging applications, including autonomous driving, telemedicine, industrial automation, and emergency services, where consistent data ...
Nature

Learning continuous activation fields from microscopic SEM images of lycoperdioid fungi via CNN-guided neural operator modeling

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
IEEE

AAV Weapon Target Assignment via State Split Flow Deep Q-Learning Network With Threat Degree Index

Abstract: This article investigates the weapon target assignment (WTA) problem for the autonomous aerial vehicle (AAV) system in the safety transition task. Considering the heterogeneity of targets, a ...