Anomaly detection is the process of finding ... (100), loss function (mean squared error), optimization algorithm (stochastic gradient descent) and learning rate (0.005). After training the ...

Data anomaly detection is the process of examining a set of source ... the demo system trains the autoencoder using a clever algorithm called back-propagation. The maxEpochs, lrnRate, and batSize ...

When applied to the Virtual KSTAR (V-KSTAR), this algorithm demonstrated a detection speed up to 15 times faster than previous methods. The V-KSTAR is a digital twin that replicates the Korean ...

Back in 2001, two computer scientists, Paul Viola and Michael Jones, triggered a revolution in the field of computer face detection. After years of stagnation, their breakthrough was an algorithm ...