In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
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 ...
Abstract: This article introduces an on-chip anomaly monitoring system design approach that is based on thermal profiling and side-channel analysis. The strategy aims at the realization of ...
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 ...
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