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, ...
Stablecoin Fraud Detection in Cryptocurrency How Algorithms Can Identify Risk Before It Becomes Loss
Sivakumar is an enterprise architect with 20+ years delivering secure cloud and AI/ML systems in retail and fintech. Stablecoins were created to solve one of crypto’s biggest problems: volatility. A ...
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 ...
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 ...
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 ...
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 ...
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.
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 ...
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 ...
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