Aug 23, 2024 · This section shows the energy-time performance of the implemented BPSO. However, based on our previous works, it could be stated that the ...
Aug 23, 2024 · Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. Authors: Juan José Escobar.
Aug 26, 2024 · The paper proposes a method for the classification of EEG signal based on machine learning methods. We analyzed the data from an EEG experiment ...
Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. https://doi.org/10.1007/978-3-031-64629 ...
Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. Escobar, J.J.; López-Rodríguez, J.
Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. Escobar, J.J.; López-Rodríguez, J.
This article shows an example of how to estimate and consider energy consumption in a real case of EEG classification.
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Sep 30, 2023 · This article shows an example of how to estimate and consider energy consumption in a real case of EEG classification.
Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. Juan José Escobar, Jesús López-Rodríguez ...
Mar 26, 2024 · In comparison with deep learning algorithms, the average classification accuracy of the combined model was 85.74%, much higher than the 66.20% ...