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IoT Anomaly Detection Project by mohamedalisadek27102004 is a document available to read on EtoBox.

What is IoT Anomaly Detection Project about?

This document outlines a project plan for developing a real-time anomaly detection system for IoT sensor streams, targeting manufacturing and smart infrastructure. It details the system architecture using Microsoft Azure, structured into five milestones including data collection, model development, deployment, MLOps, and monitoring. The technology stack includes various Azure services and machine learning frameworks to ensure efficient data processing, model training, and real-time anomaly detection.

Author
mohamedalisadek27102004
Language
EN

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