Keutayeva A 1

1. Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
2. Integrating Machine Learning Model and Digital Twin System for Additive Manufacturing
3. Compact convolutional transformer for subject-independent motor imagery EEG-based BCIs
4. Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey
5. Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery Based BCIs
6. Neurotechnology in Gaming: A Systematic Review of Visual Evoked Potential-Based Brain-Computer Interfaces
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