Abstract: We consider the reconstruction of a codeword from multiple noisy copies, each independently corrupted by insertion, deletion, and substitution errors. This problem arises, for example, in ...
Abstract: This study critically examines the evolution of deep learning (DL) for electroencephalogram (EEG) based motor imagery (MI) decoding with a focus on real-time Brain Computer Interfaces (BCIs) ...
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