This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture. The objective is to automate the process of identifying whether ...

Abstract: Recently, mmWave radars have been used in several automotive and industrial applications to provide the position and speed of detected objects using FMCW algorithms. However, this radar is ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

In the fast-moving digital landscape, where gig workers expect instant payouts and companies handle millions of microtransactions daily, the need for robust real-time fraud detection has never been ...

The broad range of Scolytinae pests sizes and their subtle visual similarities, especially in smaller species, continue to challenge the accuracy of mainstream object detection models. To address ...

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 ...

In the fast-changing digital world, cybersecurity threats create substantial risks for organizations globally. Proactive defense is vital to counter these challenges. Real-time vulnerability detection ...