IEEE

Design and implementation of a high real-time two-dimensional CFAR detector based on FPGA

Abstract: Constant False Alarm Rate (CFAR) detection is a crucial adaptive algorithm for radar target detection under interference and cluttered environments. However, as the reference window size ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
IEEE

A CFAR Detection Algorithm Based on Dynamic Adaptive Weighted Feature Fusion for Sonar Target

Abstract: Active sonar detection in complex hydroacoustic environments faces challenges, as reverberation interference increases the false alarm rate while feature-based methods face dual constraints ...
Medical Xpress

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...