Abstract: In this paper, we propose a novel transformer-based classification algorithm for the brain computer interface (BCI) using a motor imagery (MI) electroencephalogram (EEG) signal. To design ...
Abstract: Proper signal measurement and processing are crucial in electroencephalography (EEG)-based brain-computer interfaces (BCIs), as they form the basis of brain insight and precise BCI control.
The Department of Education (DepEd) remains steadfast in promoting transparency, integrity, and accountability by making basic education data accessible to the public which empowers internal and ...
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