Shubhra Dwivedi

Surrogate-Driven Multi-Objective SMEPO Framework for Optimal EEG Channel and Feature Selection in Motor Imagery BCI

Abstract Brain-computer interfaces (BCIs) hold significant potential in communication, mechatronic control, and rehabilitation. However, existing BCI systems are often expensive, and require laborious preparation. A major challenge in motor imagery (MI)-based BCIs is the effectiv...

High-performance next-generation screening technology system using teaching–learning-based optimization for cancer detection

Abstract Early and accurate detection of breast cancer remains challenging due to high-dimensional clinical data, feature redundancy, and limitations of existing diagnostic decision systems. To address these issues, this study proposes a hybrid feature selection and classificatio...