Items where Author, Editor or other role is "Mzurikwao, Deogratias"
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Up a levelNumber of items: 4.
Article
| Mzurikwao, Deogratias, Khan, Muhammad Usman, Williams Samuel, Oluwarotimi, Cinatl, Jindrich, Wass, Mark N., Michaelis, Martin, Marcelli, Gianluca, Ang, Chee Siang (2020) Towards Image-based Cancer Cell Lines Authentication Using Deep Neural Networks. Scientific Reports, 10 . Article Number 19857. ISSN 2045-2322. (doi:10.1038/s41598-020-76670-6) (KAR id:83756) |
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Conference or workshop item
| Mzurikwao, Deogratias, Williams Samuel, Oluwarotimi, Grace Asogbon, Mojisola, Li, Xiangxin, Li, Guanglin, Yeo, Woon-Hong, Efstratiou, Christos, Siang Ang, Chee (2019) A Channel Selection Approach Based on Convolutional Neural Network for Multi-channel EEG Motor Imagery Decoding. In: Artificial Intelligence and Knowledge Engineering (AIKE). 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE). . pp. 195-202. IEEE, New York, USA ISBN 978-1-7281-1489-7. E-ISBN 978-1-7281-1488-0. (doi:10.1109/AIKE.2019.00042) (KAR id:76319) |
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| Mzurikwao, Deogratias, Ang, Chee Siang, Samuel, Oluwarotimi Williams, Asogbon, Mojisola Grace, Li, Xiangxin, Li, Guanglin (2018) Efficient Channel Selection Approach for Motor Imaginary Classification based on Convolutional Neural Network. In: 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS). 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS). . pp. 418-421. IEEE E-ISBN 978-1-5386-7355-3. (doi:10.1109/CBS.2018.8612157) (KAR id:73581) |
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Thesis
| Mzurikwao, Deogratias (2020) Application of Deep Neural Network in Healthcare data. Doctor of Philosophy (PhD) thesis, University of Kent,. (doi:10.22024/UniKent/01.02.87075) (KAR id:87075) |
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