IEEE

Decoding Image classes from EEG Based on CNN-LSTM-Attention Architecture

Abstract: The electroencephalograph (EEG) records the electrical activity of the human brain. Decoding the class of visual stimuli from EEG has always been a key focus in Brain-Computer Interface (BCI ...
GitHub

A .NET library that provides automatic encoding/decoding of numeric properties to obfuscated strings during JSON serialization using attributes. This helps prevent exposing ...

While CloakId is not a substitute for proper security measures like authentication, authorization, and access control, it provides valuable protection against information disclosure and business ...
IEEE

Attention-Based Multiscale Spatial-Temporal Convolutional Network for Motor Imagery EEG Decoding

Abstract: Motor imagery (MI) electroencephalography (EEG) has been used in consumer products supported by brain-computer interfaces (BCI), with existing electronics covering a wide range of domains ...