Pushpalika Chatterjee has established a new paradigm in fintech evolution. Her work lays the foundation for intelligent, ...

The phishing menace has been undergoing a radical transformation. In the past, cybercriminals often relied on brute-force ...

This repository explains the implementation of a logs anomaly detection architecture using ElasticSearch and Kibana, as well as a machine learning model. The purpose of this architecture is to analyze ...

A recent MIT Technology Review survey revealed that 64% of manufacturers are exploring AI to enhance product quality. With ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...

Abstract: Image anomaly detection and localization have received widespread ... in traditional KD arising from identical or similar teacher-student (T-S) architecture. However, in RD, the lack of an ...

Abstract: Anomaly detection is a crucial aspect in ensuring the reliability of industrial products in smart manufacturing. Despite employing unsupervised anomaly detection methods to mitigate the ...

Financial fraud costs banks and fintech companies billions every year. This project aims to detect fraudulent transactions using real-time anomaly detection and machine learning.

National Academy of Sciences National Academy of Engineering National Academy of Medicine ...