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Abstract: Telemetry anomaly detection is a prominent health condition monitoring task that plays an increasingly crucial role in identifying unexpected events and improving satellite’s overall ...

"""LSTM-based autoencoder for sequence anomaly detection.""" ...

Abstract: The data produced by millions of connected devices and smart sensors in the Industrial Internet of Things (IIoT) is highly dynamic, large-scale, heterogeneous, and time-stamped. These ...

In the LSTM-AE model, anomaly detection is performed using reconstruction error, defined as the difference between the input sequence and its reconstruction. For the GNN model, anomalies are ...

Medication non-adherence is one of the most persistent and costly challenges facing modern healthcare systems. In the UK, it costs the NHS an estimated £500 million every year and contributes to ...

The intersection of machine learning, biosensing technologies, and neurological behavior analysis presents fertile ground for groundbreaking research and innovation. This research topic aims to bridge ...