Abstract: Motor imagery (MI) electroencephalography (EEG) has become a cornerstone of brain-computer interface (BCI) research due to its non-invasive nature and high temporal resolution. However, ...
Abstract: Stroke and other neurological disorders often result in significant motor impairments, limiting the effectiveness of traditional rehabilitation. This project proposes a non-invasive ...
A comprehensive deep learning pipeline for Distributed Acoustic Sensing (DAS) event classification using Vision Transformers (ViT) and multi-scale architectures. This project implements ...
This repository is the codebase of our ELECO 2025 paper: “A Hybrid Machine Learning Model based on Start-Up Stator Current and High-Resolution Time-Frequency Images for Mechanical Fault Detection and ...
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