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Abstract: The increasing global aging population and the associated risk of falls necessitate the development of efficient and reliable automated human fall detection systems. This paper presents a ...
Abstract: Existing fall detection based on radar point cloud faces the challenges of low resolution point cloud estimation and sparsity, which seriously restricts the system detection performance.
This repository contains the complete MATLAB implementation of the methodology described in: Badpa, M., Moradzadeh, A., Norouzi, G., & Roshandel Kahoo, A. (2026). Fully Automated Magnetic Anomaly ...
RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...
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