<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Anomaly Detection | Daniel Adu Worae</title><link>https://wadman.netlify.app/tags/anomaly-detection/</link><atom:link href="https://wadman.netlify.app/tags/anomaly-detection/index.xml" rel="self" type="application/rss+xml"/><description>Anomaly Detection</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 30 Dec 2024 00:00:00 +0000</lastBuildDate><image><url>https://wadman.netlify.app/media/icon_hu_eee4a95885829ab2.png</url><title>Anomaly Detection</title><link>https://wadman.netlify.app/tags/anomaly-detection/</link></image><item><title>IoT Shepherd</title><link>https://wadman.netlify.app/projects/iot-shepherd/</link><pubDate>Mon, 30 Dec 2024 00:00:00 +0000</pubDate><guid>https://wadman.netlify.app/projects/iot-shepherd/</guid><description>&lt;p&gt;IoT Shepherd is an agent-orchestrated framework for contextual IoT management and secure ecosystem administration. It connects retrieval-augmented documentation support with transformer-based traffic anomaly detection to generate evidence-grounded operational guidance.&lt;/p&gt;</description></item><item><title>IoT Shepherd: Leveraging LLMs for Contextual Intelligence and Secure IoT Ecosystem Management</title><link>https://wadman.netlify.app/publications/iot-shepherd-contextual-intelligence/</link><pubDate>Mon, 30 Dec 2024 00:00:00 +0000</pubDate><guid>https://wadman.netlify.app/publications/iot-shepherd-contextual-intelligence/</guid><description/></item></channel></rss>