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Computerized Multidomain EEG Classification System A New Paradigm by muhammadasad9554 is a document available to read on EtoBox.
This study presents a novel computerized broad learning EEG classification system (CABLES) that enhances the adaptability of EEG signal classification across multiple domains. The system incorporates three innovative modules: complex variational mode decomposition (CVMD), ensemble optimization-based feature selection (EOFS), and t-distributed stochastic neighbor embedding-based sample reduction (tSNE-SR), achieving high classification accuracies on various EEG datasets. The results demonstrate that CABLES o
- Author
- muhammadasad9554
- Language
- EN