Explainable Gene Prioritization Tool
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A machine learning framework for identifying epilepsy-related genes. ![]()
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A machine learning framework for identifying epilepsy-related genes. ![]()
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This paper details the design and implementation of a low-cost fNIRS acquisition device.
Recommended citation: D.N. Mudalige*, U.G.C. Jayasankha*, et al. (2023). "Standalone Optode for Functional Near-Infrared Spectroscopy Acquisition." IEEE ICIIS 2023. https://ieeexplore.ieee.org/document/YOUR_ID
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This study explores how subject-specific characteristics affect the accuracy of classifying imagined phonemes using EEG signals, providing insights into the development of more robust Brain-Computer Interfaces (BCI).
Recommended citation: S.N. Liyanagoonawardhena, A.T. Palihakkara, D.N. Mudalige, U.G.C. Jayasankha, A. De Silva & T. Chang. (2023). "Significance of Subject-Dependency for Imagined Speech Classification Using EEG." IEEE ICIIS 2023. https://ieeexplore.ieee.org/
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My undergraduate final year project involved the design of an electronic data acquisition system and the implementation of signal processing and machine learning methods to decode imagined speech from neural signals.
Recommended citation: U.G.C. Jayasankha, D.N. Mudalige, A.T. Palihakkara, S.N. Liyanagoonawardhena. (2022). "Imagined Speech Decoder." Undergraduate Thesis, University of Moratuwa. https://drive.google.com/file/d/13k147ElebR_Vby_xg5hQu9vXQoNzORJG/view?usp=sharing