Abstract: GNN-based anomaly detection is one of the most critical security strategies protecting industrial control systems (ICSs) from external attacks. Existing studies mainly focus on how to ...

Leaving behind a decades-long legacy of threats to life, land mines continue to be used across conflict zones and surrounding areas. Globally, the challenge remains immense. A 2024 NATO report notes ...

A comprehensive fraud detection system that combines database-driven transaction analysis with Graph Neural Networks (GNN) to identify fraudulent financial transactions by analyzing relationships ...

Odense, Denmark-based Dropla Tech, a company developing AI-enabled threat detection and autonomous demining solutions, has secured €2.4M in a pre-seed round from Maj Invest Holding, the Export and ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...

Magnetic data boundary detection is a key technology in potential field data processing, providing an effective basis for the division of geological units and fault structures. It holds significant ...

Google has released its second Developer Preview of the Android XR software development kit (SDK) following its initial release late last year, introducing new features and improvements including ...

Abstract: Graph Neural Networks (GNNs) play a significant role and have been widely applied in fraud detection tasks, exhibiting substantial improvements in detection performance compared to ...