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A Ternary Bi-Directional LSTM Classification for Brain Acti..:
, In:
2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
,
Wickramaratne, Sajila D.
;
Mahmud, MD Shaad
- p. 202-207 , 2020
Link:
https://doi.org/10.1109/ICIIBMS50712.2020.9336416
RT T1
2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
: T1
A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS
UL https://suche.suub.uni-bremen.de/peid=ieee-9336416&Exemplar=1&LAN=DE A1 Wickramaratne, Sajila D. A1 Mahmud, MD Shaad YR 2020 SN 2189-8723 K1 Deep learning K1 Support vector machines K1 Machine learning algorithms K1 Training data K1 Bidirectional control K1 Brain modeling K1 Task analysis K1 fNIRS K1 deep learning K1 LSTM K1 mental arithmetic SP 202 OP 207 LK http://dx.doi.org/https://doi.org/10.1109/ICIIBMS50712.2020.9336416 DO https://doi.org/10.1109/ICIIBMS50712.2020.9336416 SF ELIB - SuUB Bremen
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