Why automation resonates with IT teams Organizations are integrating AI into areas like performance monitoring, anomaly detection, capacity planning, and troubleshooting to support essential ...
Abstract: Graph-level anomaly detection (GLAD) aims to identify graphs that significantly deviate from the norm. Despite remarkable advancements in recent years, existing GLAD approaches struggle with ...
This is the official code to reproduce the experiments in the paper AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2, accepted at IEEE/CVF Winter Conference on Applications of ...
📌 What Is This Project? This project simulates a Security Operations Center (SOC) threat detection system — the kind used by banks, IT companies, and government organizations to protect their ...
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I stopped jumping between monitoring dashboards with one Claude Code command
Automation that actually understands your homelab.
Abstract: As a core problem in unsupervised learning, anomaly detection focuses on identifying abnormal patterns in datasets, thereby providing support for uncovering potential problems and extracting ...
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