Abstract: In recent years, tensor decomposition-based approaches for hyperspectral anomaly detection (HAD) have gained significant attention in the field of remote sensing. However, existing methods ...

Real-time detection of anomalies in data streams is a foundation of modern applied analysis in complex systems. It enables experts to design rapid, efficient, reliable, and high-performance decision ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

Welcome to the Open-Source Benchmark of Anomaly Detection (OSBAD) repository, a unified, reproducible framework for evaluating the performance of various statistical, distance-based, and machine ...

Grab, Enabling near real-time data analytics on the data lake (https://engineering.grab.com/enabling-near-realtime-data-analytics) Traveloka - Data Lake API on ...

Contributed by Thomas J. R. Hughes, September 23, 2016 (sent for review August 27, 2016; reviewed by Krishna Garikipati and Ellen Kuhl) We perform a tissue-scale, personalized computer simulation of ...

Fault detection is an essential task for large-scale industrial maintenance. However, in practical applications, due to the possible harm caused by the collection of fault data, the fault samples that ...