Abstract: The use of transfer learning in brain-computer interfaces (BCIs) has potential applications. As electroencephalogram (EEG) signals vary among different paradigms and subjects, existing EEG ...
These benefits lead to more flexible, maintainable, and efficient code structures. Unfortunately, Java does not natively support class extensions (categories) and there is a little chance such support ...
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 ...
This is a pure Java native-protocol driver (type 4) JDBC driver. The implementation builds on the lower-level javakdb API, whic h is somewhat simpler, and a good choice for application development ...
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