Search Results for author:
Found 3 papers, 1 papers with code
Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers
This paper presents a systematic literature review on Brain-Computer Interfaces (BCIs) in the context of Machine Learning.
TWR-MCAE: A Data Augmentation Method for Through-the-Wall Radar Human Motion Recognition
The data preprocessing module achieves wall clutter, human motion features, and noise subspaces separation.
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
Using Machine Learning and Deep Learning to predict cognitive tasks from electroencephalography (EEG) signals is a rapidly advancing field in Brain-Computer Interfaces (BCI).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
