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brain-computer interface 1deep learning 1EEG 1motor imagery 1transformer 1wheelchair control 1

From the 1 of 2 papers with an AI index.

most citedEEG-based AI-BCI Wheelchair Advancement: Transformer-Based Learning with Motor Imagery for Brain Computer Interface

1 citations

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2 papers

cs.LG2026★ 1 cited

EEG-based AI-BCI Wheelchair Advancement: Transformer-Based Learning with Motor Imagery for Brain Computer Interface

Bipul Thapa, Biplov Paneru, Bishwash Paneru +1

The paper proposes a Transformer‑based deep learning model (TFormerEEG) to classify motor‑imagery EEG signals for controlling a simulated wheelchair, achieving over 90% accuracy.

astro-ph.GA2026

Modeling Solitonic Cores, Stabilization of Bar, and Suppression of Bar Dissolution in DDO 168 via GPP Formalism: A Detailed Analysis of Bose--Einstein Condensate/Fuzzy Dark Matter Halo Structure and Bar Dynamics in the Dwarf Galaxy DDO 168

Saroj Khanal, Sanjay Kumar Sah, Kiran Khanal +1

The cusp-core problem remains a challenge to the CDM model, since dwarf galaxies often exhibit flat central density cores rather than the steep cusps () predi…