A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Deep learning has revolutionised object detection by enabling end-to-end trainable systems that learn both feature representation and localisation. Early two-stage detectors extracted region proposals ...

Abstract: Computer vision systems have become very popular among modern IoT applications, autonomous driving, and security systems. The new generation of wireless networks offers high speeds and ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...

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 ...