How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
AZoRobotics

Can AI Run Its Own Data Centers?

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...
Psychology Today

Anomaly Puzzles: How the Brain Detects the Unexpected

These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...
Scientific Research Publishing

Prototype-Based Dynamic Autoencoders for Real-Time Anomaly Detection and Explainability ()

Real-time detection of anomalies in data streams is a foundation of modern applied analysis in complex systems. It enables experts to design rapid, efficient, reliable, and high-performance decision ...
IEEE

MICHC-NN: An Offline Industrial Control Anomaly Detection Algorithm Based on Maximum Information Coefficient

Abstract: The industrial control anomaly detection algorithm effectively monitors and identifies anomalies in industrial control systems, ensuring timely issue detection to maintain system reliability ...
Scientific Research Publishing

Killourhy, K.S. and Maxion, R.A. (2009) Comparing Anomaly-Detection Algorithms for Keystroke Dynamics. 2009 IEEE/IFIP International Conference on Dependable Systems & Networks ...

ABSTRACT: We introduce in this paper MIES-TR, an intelligent model for real-time syllable boundary detection during keyboard typing. This innovative approach positions the syllable as an intermediate ...
IEEE

Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale

Abstract: In recent years, Artificial Intelligence for IT Operations (AIOps) has gained popularity as a solution to various challenges in IT operations, particularly in anomaly detection. Although ...
Oak Ridge National Lab

Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review

Modern cyberattacks in cyber-physical systems (CPS) rapidly evolve and cannot be deterred effectively with most current methods which focused on characterizing past threats. Adaptive anomaly detection ...