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Chai Quek

Showing results (21-30 of 33) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
ERNN: a biologically inspired feedforward neural network to discriminate emotion from EEG signalReza Khosrowabadi, Chai Quek, Kai Keng Ang, et al.
IEEE Transactions on Neural Networks|March 5, 2009
Driving profile modeling and recognition based on soft computing approachAbdul Wahab, Chai Quek, Chin Keong Tan, et al.
IEEE Transactions on Bio-Medical Engineering|March 24, 2011
Optimizing the channel selection and classification accuracy in EEG-based BCIMahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, et al.
Journal of Neural Engineering|May 30, 2019
An iterative cross-subject negative-unlabeled learning algorithm for quantifying passive fatigueRuyi Foong, Kai Keng Ang, Zhuo Zhang, et al.
Artificial Intelligence in Medicine|June 11, 2008
Ovarian cancer diagnosis with complementary learning fuzzy neural networkTuan Zea Tan, Chai Quek, Geok See Ng, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 2, 2016
MuSCoWERT: multi-scale consistence of weighted edge Radon transform for horizon detection in maritime imagesDilip K Prasad, Deepu Rajan, Lily Rachmawati, et al.
Cognitive Neurodynamics|February 3, 2016
Neural network modelling of the influence of channelopathies on reflex visual attentionAlexandre Gravier, Chai Quek, Włodzisław Duch, et al.
Neural Computing & Applications|May 23, 2022
Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory modelsYue Hu, Budhitama Subagdja, Ah-Hwee Tan, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 15, 2014
DEB: definite error bounded tangent estimator for digital curvesDilip K Prasad, Maylor K H Leung, Chai Quek, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
An analysis on driver drowsiness based on reaction time and EEG band powerRuyi Foong, Kai Keng Ang, Chai Quek, et al.
Pageof 4

Showing results (21-30 of 33) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
ERNN: a biologically inspired feedforward neural network to discriminate emotion from EEG signalReza Khosrowabadi, Chai Quek, Kai Keng Ang, et al.
IEEE Transactions on Neural Networks|March 5, 2009
Driving profile modeling and recognition based on soft computing approachAbdul Wahab, Chai Quek, Chin Keong Tan, et al.
IEEE Transactions on Bio-Medical Engineering|March 24, 2011
Optimizing the channel selection and classification accuracy in EEG-based BCIMahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, et al.
Journal of Neural Engineering|May 30, 2019
An iterative cross-subject negative-unlabeled learning algorithm for quantifying passive fatigueRuyi Foong, Kai Keng Ang, Zhuo Zhang, et al.
Artificial Intelligence in Medicine|June 11, 2008
Ovarian cancer diagnosis with complementary learning fuzzy neural networkTuan Zea Tan, Chai Quek, Geok See Ng, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 2, 2016
MuSCoWERT: multi-scale consistence of weighted edge Radon transform for horizon detection in maritime imagesDilip K Prasad, Deepu Rajan, Lily Rachmawati, et al.
Cognitive Neurodynamics|February 3, 2016
Neural network modelling of the influence of channelopathies on reflex visual attentionAlexandre Gravier, Chai Quek, Włodzisław Duch, et al.
Neural Computing & Applications|May 23, 2022
Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory modelsYue Hu, Budhitama Subagdja, Ah-Hwee Tan, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 15, 2014
DEB: definite error bounded tangent estimator for digital curvesDilip K Prasad, Maylor K H Leung, Chai Quek, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
An analysis on driver drowsiness based on reaction time and EEG band powerRuyi Foong, Kai Keng Ang, Chai Quek, et al.
Pageof 4