AI-Powered Anomaly Detection In Industry 4.0 Environments: Revision history

Jump to navigation Jump to search

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

26 May 2025

  • curprev 21:1721:17, 26 May 2025 AnnettaSauls75 talk contribs 2,524 bytes +2,524 Created page with "Machine Learning-Driven Anomaly Detection in Industrial IoT Environments <br>As manufacturing plants increasingly adopt IoT devices, the scale of real-time information generated has surged. Traditional monitoring systems often struggle to process this vast data in real time to identify abnormalities. This gap has led to the adoption of AI-driven fault prediction systems, which utilize predictive analytics to flag possible failures before they happen.<br> <br>Advanced i..."