Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Shevitski, B., Watkins, Y., Man, N. and Girard, M. (2023) Digital Signal Processing Using Deep Neural Networks Evaluating the Effectiveness of Hybrid Autoencoder/ Transformer Models for RF Data. arXiv ...

Due to the inherent difficulties in accessing the state of a dynamical system, observers play a relevant role in modern state-feedback control schemes. Traditionally, observer synthesis has been ...

Compared to using PCA for dimensionality reduction, using a neural autoencoder has the big advantage that it works with source data that contains both numeric and categorical data, while PCA works ...

This paper presents a method for model reduction of systems represented by linear parameter-varying (LPV) models seeking to reduce the scheduling variables space by employing autoencoder (AE) neural ...