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The telemetry data obtained from an on-orbit spacecraft contain important information to indicate anomaly of the spacecraft. However, the large number of monitoring variables and the large amount of ...
The final predictions are the sum of the raw linear predictions and the residuals modeled by the Random Forest. Linear Boosting is a two stage learning process. Firstly, a linear model is trained on ...
The article is structured as follows: we start by a short review of relevant and recent literature on anomaly detection and its applications where we show that methods for data anomaly detection have ...
This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...
Physical Unclonable Functions (PUFs) present a promising alternative to traditional cryptographic techniques for securing sensitive information in modern circuits. By exploiting inherent process ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...