Water Saci has upgraded its self-propagating malware to compromise banks and crypto exchanges by targeting enterprise users ...
Abstract: With the rise of autonomous driving, LiDAR-based object detection using deep neural networks (DNNs) has shown exceptional performance. However, DNNs are vulnerable to adversarial attacks, ...
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 with ...
The metamaterial created by Zhang is used to push and rotate an object adorned with the University of Wisconsin’s Bucky the Badger. NEW ORLEANS, May 20, 2025 – Sound can do more than just provide a ...
This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...
With the rapid growth of urbanization, construction sites are increasingly confronted with severe safety hazards. Personal protective equipment (PPE), such as helmets and safety vests, plays a ...
Laboratory of Micro-Optoelectronics and Nanostructures (LR99/E929), Faculty of Sciences of Monastir, University of Monastir, Monastir, Tunisia Alzheimer’s disease (AD) is a progressive ...
Abstract: This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity for ...
This repository contains a Python script for performing object detection on images using the YOLOv5 model. The detected objects are saved to a PostgreSQL database, and the results can be visualized ...
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