Tax fraud is a persistent global challenge, with annual losses surpassing USD 1 trillion in corporate tax revenue alone. The ...

When the 9/11 Commission Report was published in July 2004, it became one of the most sobering documents in modern American ...

To ensure enterprises can fully trust the data fueling their analytics and AI deployments, Anomalo has defined the Six Pillars of Data Quality: ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

In an exclusive Q&A interview, Vestas Aircoil A/S, sheds light on its transformative journey with digital twin technology ...

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

Scienaptic AI, a leading provider of AI-powered credit decisioning, announced today that Patriot Federal Credit Union has selected its platform to enhance real-time fraud and anomaly detection to ...

Abstract: This study focuses on the anomaly detection problem in Network Security Situational Awareness (NSSA). We systematically review traditional approaches and recent advancements based on Machine ...

Laboratoire de Matériaux et Environnement (LAME), Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso. In recent decades, the impact of climate change on natural resources has increased. However, ...

Introduction: Precision agriculture relies on advanced technologies to optimize crop protection and resource utilization, ensuring sustainable and efficient farming practices. Anomaly detection plays ...