The global electronics manufacturing landscape is currently undergoing a significant transformation, driven by the rapid integration of Artificial Intelligence, IoT connectivity, and the electrification of automotive systems. As these technologies evolve, the demand...
In the big-data-driven artificial intelligence era, similarity search, as a core operation in machine learning and data mining, demands high speed, energy efficiency, and scenario adaptability. Conventional electronic content-addressable memory (ECAMs) suffer from...
La lutte anti-drone est devenue une priorité pour la sécurité aérienne, commerciale et militaire, sous la pression des incursions et des essais de capacité. Les technologies de détection et de neutralisation évoluent rapidement, mêlant radars, brouilleurs, lasers et...
Highlights What are the main findings? The horizontal errors are generally larger and more variable than vertical errors. Some features (‘gnss_L5Q_mean’ and ‘gnss_L1C_std’) dominate the positioning error of the UAV. Pour en savoir plus : A Comparative Study of Machine...
We present a real-world multi-scenario unmanned aerial vehicle (UAV) radio frequency (RF) dataset, namely DRFF-R2, which is collected using a dedicated acquisition platform under diverse operational conditions. All signals are acquired within a unified framework to...
