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What is Quantum Machine Learning For Drowsiness Detection With EEG Signals about?

This document discusses the application of Quantum Machine Learning (QML) for detecting drowsiness using EEG signals, highlighting the importance of monitoring human biological parameters to prevent accidents in various industries. The study compares QML models with traditional machine learning methods, specifically Multilayer Perceptron (MLP), and presents findings that indicate varying effectiveness across different subjects. The research suggests that QML has potential for improving drowsiness detection

Author

Arthur Dantas

Language

EN