Anomaly-Detection

Adaptive Change Point Monitoring for High-Dimensional Data
In this paper, we propose a class of monitoring statistics for a mean shift in a sequence of high-dimensional observations. Inspired by …
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Real-Time Detection of Clustered Events in Video-Imaging Data with Applications to Additive Manufacturing
The use of video-imaging data for in-line process monitoring applications has become more and more popular in the industry. In this …
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Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders
Variational autoencoders have been recently proposed for the problem of process monitoring. While these works show impressive results …
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Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders
AKM2D: An Adaptive Framework for Online Sensing and Anomaly Quantification
In point-based sensing systems such as coordinate measuring machines and laser ultrasonics where complete sensing is impractical due to …
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Spatio-Temporal Anomaly Detection, Diagnostics, and Prediction of the Air-Traffic Trajectory Deviation Using the Convective Weather
With ahead-of-time aircraft management, we are able to re- duce aircraft collision and improve air traffic capacity. How- ever, there …
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Rapid Detection of Hot-Spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
In many bio-surveillance and healthcare applications, data sources are measured from many spatial locations repeatedly over time, say, …
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