IEEE

Bayesian Interference Control CFAR Detector in Gamma-Distributed Background Using Discrete Truncated Gaussian Function

Abstract: Ensuring constant false alarm rate (CFAR) detection in complex non-Gaussian heterogeneous backgrounds poses a major challenge in low-altitude target monitoring. Heterogeneous Gamma clutter ...
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 ...
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 ...
Frontiers

Improving aerial target detection for 3D radar based on a two-stage CFAR method with adaptive clutter distribution estimation

1 Radar Center, Viettel High Technology Industries Corporation, Hanoi, Vietnam 2 Faculty of Electronics and Telecommunications, VNU University of Engineering and Technology, Hanoi, Vietnam This study ...
IEEE

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

Active sonar detection in complex hydroacoustic environments faces challenges, as reverberation interference increases the false alarm rate while feature-based methods face dual constraints of ...
Scientific Research Publishing

Neha, F., Bhati, D., Shukla, D.K. and Amiruzzaman, M. (2024) From Classical Techniques to Convolution-Based Models: A Review of Object Detection Algorithms. arXiv: 2412.05252.

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...