GitHub

The Numenta Anomaly Benchmark (NAB)

Welcome. This repository contains the data and scripts which comprise the Numenta Anomaly Benchmark (NAB) v1.1. NAB is a novel benchmark for evaluating algorithms for anomaly detection in streaming, ...
IEEE

Traffic Anomaly Detection and Video Summarization Using Spatio-Temporal Rough Fuzzy Granulation With Z-Numbers

Abstract: Existing traffic video summarization algorithms are capable of detecting one-class (i.e., collision) anomaly and cannot handle uncertainty issues arising between two-class anomalies, such as ...
IEEE

Integrating Two-Tier Optimization Algorithm With Convolutional Bi-LSTM Model for Robust Anomaly Detection in Autonomous Vehicles

Abstract: Industrial development has changed vehicles of traditional into autonomous vehicles (AVs). AVs play a significant role since they are measured as a vital module of smart cities. The AV is an ...
Scientific Research Publishing

Explore Anomaly-Aware Transformers for Robust Financial Time Series Forecasting ()

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...
Nature

Highly accurate anomaly based intrusion detection through integration of the local outlier factor and convolutional neural network

Intrusion detection systems (IDS) are critical for safeguarding computer networks by identifying malicious activities. However, distinguishing attacks in IDSs with high accuracy is challenging. This ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
leewayhertz

Anomaly detection in fraud prevention: Benefits, development and future trends

The digital age has ushered in a new era of convenience and opportunity. However, it has also opened doors for malicious actors, leading to a surge in fraudulent activities across various sectors.
GitHub

Anomaly Detector for ALeRCE broker

Welcome to the ALeRCE anomaly detector framework. This is the main repository where you can find all the resources associated to our article: Alert Classification for the ALeRCE Broker System: The ...
Nature

Unsupervised anomaly detection with generative adversarial networks in mammography

Breast cancer is a common cancer among women, and screening mammography is the primary tool for diagnosing this condition. Recent advancements in deep-learning technologies have triggered the ...
C&EN

Fault Diagnosis Method for Lithium-Ion Battery Packs in Real-World Electric Vehicles Based on K-Means and the Fréchet Algorithm

Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan430068, P. R. China Hubei Engineering Research Center for Safety Monitoring ...