Water Saci has upgraded its self-propagating malware to compromise banks and crypto exchanges by targeting enterprise users ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

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 ...

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 ...

Researchers introduced a novel method for fabricating functional flat-to-shape objects using a computer-controlled sewing machine. The team's method uses the sewing machine to stitch pockets between ...

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 ...

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 ...