GitHub

Prometheus Time Series Anomaly Detection with LSTM Autoencoder

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
GitHub

alliyaa/anomaly-detection-system

This project implements a security-focused anomaly detection system using machine learning to identify unusual patterns in structured data. The system is designed with enterprise-grade practices ...
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 ...
IEEE

ProTD: Prompted Tensor Decomposition for Hyperspectral Anomaly Detection

Abstract: Hyperspectral anomaly detection (HAD) aims to distinguish anomalies from background in hyperspectral images (HSIs). Recently, low-rank representation (LRR)-based methods have attracted ...