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Human Sensibility Evaluation Using Photoplethysmogram (PPG).

, , , , , , и . CISIS, стр. 149-153. IEEE Computer Society, (2009)

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Eun-Jong Hong

Soong-Pyo Eun

Young-Ae Eun-Kwon

Katrin Yvonne Eun

Vithoon Eungprabhanth

 

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Using Emerging Subsequence in Classifying Protein Structural Class., , , , и . FSKD (1), стр. 349-353. IEEE Computer Society, (2009)Leader-following consensus control for Markovian switching multi-agent systems with interval time-varying delays., , , , , и . ASCC, стр. 1-6. IEEE, (2013)New and improved results on stability of static neural networks with interval time-varying delays., , , , и . Appl. Math. Comput., (2014)H∞ state estimation for discrete-time neural networks with interval time-varying delays and probabilistic diverging disturbances., , , , и . Neurocomputing, (2015)Consensus protocol design for discrete-time networks of multiagent with time-varying delay via logarithmic quantizer., , , и . Complex., 21 (1): 163-176 (2015)Human Sensibility Evaluation Using Photoplethysmogram (PPG)., , , , , , и . CISIS, стр. 149-153. IEEE Computer Society, (2009)Classification of Closed Frequent Patterns Improved by Feature Space Transformation., , , , и . CIT, стр. 1306-1311. IEEE Computer Society, (2010)Highlighting the Current Issues with Pride Suggestions for Improving the Performance of Real Time Cardiac Health Monitoring., , , , , , , и . ITBAM, том 6266 из Lecture Notes in Computer Science, стр. 226-233. Springer, (2010)Synchronization criteria for coupled neural networks with interval time-varying delays and leakage delay., , , , и . Appl. Math. Comput., 218 (12): 6762-6775 (2012)On synchronization criterion for coupled discrete-time neural networks with interval time-varying delays., , , , и . Neurocomputing, (2013)