5 papers
Physics-Enhanced TinyML for Real-Time Detection of Ground Magnetic Anomalies
Talha Siddique, MD Shaad Mahmud
Space weather phenomena like geomagnetic disturbances (GMDs) and geomagnetically induced currents (GICs) pose significant risks to critical technological infrastructure. While trad…
Real-Time Machine Learning Enabled Low-Cost Magnetometer System
Talha Siddique, Md. Shaad Mahmud
Geomagnetically Induced Currents (GICs) are one of the most hazardous effects of space weather. The rate of change in ground horizontal magnetic component dBH/dt is used as a proxy…
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach
Talha Siddique, Md Shaad Mahmud
Functional Near-Infrared Spectroscopy (fNIRS) is a non-invasive form of Brain-Computer Interface (BCI). It is used for the imaging of brain hemodynamics and has gained popularity d…
A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS
Sajila D. Wickramaratne, MD Shaad Mahmud
Functional near-infrared spectroscopy (fNIRS) is a non-invasive, low-cost method used to study the brain's blood flow pattern. Such patterns can enable us to classify performed by…
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data
Sajila D. Wickramaratne, Md Shaad Mahmud
Functional near-infrared spectroscopy (fNIRS) is a non-invasive, economical method used to study its blood flow pattern. These patterns can be used to classify tasks a subject is p…