Abstract: Towards the challenges of high dynamic signal-to-noise ratio (SNR) variation and multi-source channel overlapping, a YOLO-driven adaptive focusing network (YOLO-AFNet) is proposed for ...

Abstract: Automatic Modulation Recognition (AMR) is essential for efficient spectrum utilization, cognitive radio, and secure wireless communications. However, deploying accurate AMR models on ...

Binary Spiking Neural Networks (BSNNs) inherit the eventdriven paradigm of SNNs, while also adopting the reduced storage burden of binarization techniques. These distinct advantages grant BSNNs ...

Abstract: Skeleton-based Temporal Action Segmentation (STAS) aims to densely parse untrimmed skeletal sequences into frame-level action categories. However, existing methods, while proficient at ...

New power-sector training modules added, including turbines and substations. LONDON, UNITED KINGDOM, March 23, 2026 /EINPresswire.com/ — saVRee, a UK-based provider ...