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Principal Components-Artificial Neural Network in Functiona..:
, In:
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
,
Ong, Jia Heng
;
Chia, Kim Seng
- p. 714-719 , 2021
Link:
https://doi.org/10.1109/3ICT53449.2021.9581861
RT T1 <cTitle>2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)</cTitle>: T1 <Title>Principal Components-Artificial Neural Network in Functional Near-Infrared Spectroscopy (fNIRS) for Brain Control Interface</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9581861&Exemplar=1&LAN=DE A1 Ong, Jia Heng A1 Chia, Kim Seng YR 2021 K1 Neuroimaging K1 Technological innovation K1 Machine learning algorithms K1 Artificial neural networks K1 Transforms K1 Feature extraction K1 Complexity theory K1 Functional near-infrared spectroscopy K1 Brain control interface K1 Principal Component Analysis K1 Artificial Neural Network SP 714 OP 719 LK http://dx.doi.org/https://doi.org/10.1109/3ICT53449.2021.9581861 DO https://doi.org/10.1109/3ICT53449.2021.9581861 SF ELIB - SuUB Bremen
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