AZoSensors on MSN

Low-power sensor node brings machine learning to the edge of environmental monitoring

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
IEEE

Epileptic Seizure Detection and Prediction in EEGs Using Power Spectra Density Parameterization

Abstract: Power spectrum analysis is one of the effective tools for classifying epileptic signals based on electroencephalography (EEG) recordings. However, the conflation of periodic and aperiodic ...
IEEE

Power Spectrum Unmixing via Coupled Tensor Decomposition: Unified Identifiability and Algebraic Solution

Abstract: Power spectrum sensing has been a task with longstanding interest in the concept of cognitive radio, where knowing the power distribution over frequencies suffices applications like resource ...