IEEE

Anomaly Detection in Complex Systems Using Extended Isolation Forest and Denoising Autoencoder

Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...
GitHub

remontsuri/EV-QA-Framework

Battery failures cost the EV industry $5B+ annually in warranty claims, recalls, and safety incidents. Modern electric vehicles generate millions of telemetry points daily from battery management ...
IEEE

Anomaly Detection Method of Maglev Train Suspension System Based on SSA-MLP-Attention Hybrid Model

Abstract: Anomaly detection of maglev train suspension system is crucial for train’s safe operation and maintenance. In order to solve the complexity and diversity of abnormality modes in the ...
marktechpost

How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge ...
GitHub

NodeSentry: Effective Node-Level Anomaly Detection in HPC Systems via Coarse-Grained Clustering and Fine-Grained Model Sharing

The framework encompasses two principal phases: the offline model training phase and the online anomaly detection phase. During the offline model training phase, we first preprocess the raw MTS. We ...