AI turns mouse movements into language-like tokens, uncovering autism-related social behavior patterns

An artificial intelligence model capable of reading and interpreting animal behavior like language has been developed by ...
IEEE

Channel- and Label-Flip Data Augmentation for Motor Imagery-Based Brain–Computer Interfaces

Abstract: Achieving high classification accuracy in motor-imagery-based brain–computer interfaces (BCIs) requires substantial amounts of training data. A challenge arises because of the impracticality ...
IEEE

A Hybrid Brain Tumor Classification Using FL With FedAvg and FedProx for Privacy and Robustness Across Heterogeneous Data Sources

Abstract: Data privacy and heterogeneity among healthcare settings present fundamental challenges to machine learning (ML) brain tumor classification (BTC) model development based on local data. In ...