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Phyo Phyo San

Showing results (1-10 of 10) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetesPhyo Phyo San, Sai Ho Ling, Hung T Nguyen
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Block based neural network for hypoglycemia detectionPhyo Phyo San, Sai Ho Ling, Hung T Nguyen
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Intelligent detection of hypoglycemic episodes in children with type 1 diabetes using adaptive neural-fuzzy inference systemPhyo Phyo San, Sai Ho Ling, Hung T Nguyen
ISA Transactions|June 18, 2016
Non-invasive hypoglycemia monitoring system using extreme learning machine for Type 1 diabetesSai Ho Ling, Phyo Phyo San, Hung T Nguyen
IEEE Transactions on Cybernetics|October 15, 2013
Evolvable rough-block-based neural network and its biomedical application to hypoglycemia detection systemPhyo Phyo San, Sai Ho Ling, Nuryani, 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 9, 2015
A novel extreme learning machine for hypoglycemia detectionPhyo Phyo San, Sai Ho Ling, Ni Ni Soe, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 15, 2015
Learning Spike Time Codes Through Morphological Learning With Binary SynapsesSubhrajit Roy, Phyo Phyo San, Shaista Hussain, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
EEG-based driver fatigue detection using hybrid deep generic modelPhyo Phyo San, Sai Ho Ling, Rifai Chai, et al.
Malaria Journal|January 12, 2026
Synthesis of qualitative evidence on community experiences and perceptions of Plasmodium knowlesi malaria and factors influencing prevention and healthcare-seeking behaviours in MalaysiaMila Nu Nu Htay, Nik Hamzah Nik Mohd, Mon Mon Thawda Oo, et al.
Frontiers in Neuroscience|March 23, 2017
Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief NetworksRifai Chai, Sai Ho Ling, Phyo Phyo San, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetesPhyo Phyo San, Sai Ho Ling, Hung T Nguyen
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Block based neural network for hypoglycemia detectionPhyo Phyo San, Sai Ho Ling, Hung T Nguyen
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Intelligent detection of hypoglycemic episodes in children with type 1 diabetes using adaptive neural-fuzzy inference systemPhyo Phyo San, Sai Ho Ling, Hung T Nguyen
ISA Transactions|June 18, 2016
Non-invasive hypoglycemia monitoring system using extreme learning machine for Type 1 diabetesSai Ho Ling, Phyo Phyo San, Hung T Nguyen
IEEE Transactions on Cybernetics|October 15, 2013
Evolvable rough-block-based neural network and its biomedical application to hypoglycemia detection systemPhyo Phyo San, Sai Ho Ling, Nuryani, 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 9, 2015
A novel extreme learning machine for hypoglycemia detectionPhyo Phyo San, Sai Ho Ling, Ni Ni Soe, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 15, 2015
Learning Spike Time Codes Through Morphological Learning With Binary SynapsesSubhrajit Roy, Phyo Phyo San, Shaista Hussain, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
EEG-based driver fatigue detection using hybrid deep generic modelPhyo Phyo San, Sai Ho Ling, Rifai Chai, et al.
Malaria Journal|January 12, 2026
Synthesis of qualitative evidence on community experiences and perceptions of Plasmodium knowlesi malaria and factors influencing prevention and healthcare-seeking behaviours in MalaysiaMila Nu Nu Htay, Nik Hamzah Nik Mohd, Mon Mon Thawda Oo, et al.
Frontiers in Neuroscience|March 23, 2017
Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief NetworksRifai Chai, Sai Ho Ling, Phyo Phyo San, et al.
Pageof 1