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Yixin Zhou Advances Industrial Intelligence with AI-Based Anomaly Detection Model

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...
Visual Studio Magazine3y

Anomaly Detection Using Principal Component Analysis (PCA)

A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...
Electronic Design1y

Using AI Anomaly Detection in Embedded Applications

Sign in or sign up to watch this Device Security by Design webinar. This presentation is part of the Device Security by Design Series. Watch the video (below ...
JSTOR Daily1y

Anomaly Detection for Insulated Gate Bipolar Transistor (IGBT) under Power Cycling using Principal Component Analysis and K-Nearest Neighbor Algorithm

Insulated Gate Bipolar Transistor (IGBT) is a power electronic transistor used in medium to high power applications such as hybrid cars, railway traction motors, switch mode power supplies, and wind ...
JSTOR Daily15d

Machine learning-based climate time series anomaly detection using convolutional neural networks

Data from New Zealand’s National Climate Network are operationally verified both during data ingest and post data ingestion into the National Climate Database. The quality control process in the ...