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Author

Shubhra Dwivedi

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Open access Oct 2026

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

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 effective selection of EEG channels due to the non-stat...

Alok Kumar Shukla, Shubhra Dwivedi, N. Dewangan · 0 citations
Open access Aug 2026

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

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 classification framework that improves prediction performance...

Alok Kumar Shukla, Shubhra Dwivedi, Sunil Kumar Singh et al. · 0 citations

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