This project implements a univariate LSTM Autoencoder to detect anomalies in environmental time-series data from the Numenta Anomaly Benchmark (NAB) dataset. The model learns to reconstruct normal ...
An unsupervised anomaly detection system for identifying gravitational wave signals in LIGO detector noise using Continuous Wavelet Transform (CWT) and Long Short-Term Memory (LSTM) autoencoders.
Abstract: As robot collaboration scenarios become more prevalent, ensuring operational safety is increasingly critical. Collision detection for robotic manipulators is a key metric for ensuring system ...
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