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Physics-Enhanced TinyML for Real-Time Detection of Ground Magnetic Anomalies
Space weather phenomena like geomagnetic disturbances (GMDs) and geomagnetically induced currents (GICs) pose significant risks to critical technological infrastructure.
Real-Time Machine Learning Enabled Low-Cost Magnetometer System
The predicted geomagnetic components are then used to derive a forecast for dBH/dt.
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach
We also generated a ROC curve for our BNN classifier using test data from a single volunteer and our model has an AUC score of 0. 855.
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