Abstract: Tumor detection and diagnosis through medical imaging remains an area of concern considering the difficulty posed by the intricacy and differences in the tumor configuration across subjects.

Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

Modern anti-personnel mines are small and often made with plastic casings that standard metal detectors cannot detect.

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

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

Human ingenuity is a remarkable thing, but occasionally, it takes a wrong turn into a cul-de-sac of absolute absurdity. We often see people facing a simple, everyday problem and deciding that the most ...

Abstract: Real time object detection is a challenged task in the field of autonomous applications which is part of computer vision and plays vital role in several areas. The research in this area as a ...

OpenCV is a set of libs written in C++ and the compiled into platform-native lib format: *.dll - for Windows, or *.dylib - for Linux / Mac OS. They can be accessed from Java via Java wrapper included ...

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 ...