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Driving Style Classification by Analyzing EEG Responses to Unexpected Obstacle Dodging Tasks.

, , , , , , and . SMC, page 4916-4919. IEEE, (2006)

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A flow graph-based test model for OWL-S web services., , , and . ICMLC, page 897-902. IEEE, (2011)Estimating Driving Performance Based on EEG Spectrum Analysis., , , , and . EURASIP J. Adv. Sig. Proc., 2005 (19): 3165-3174 (2005)A microfluidic system for detection of cholangiocarcinoma cells by using heparan sulfate octasaccharides., , , , , and . NEMS, page 489-493. IEEE, (2017)Assessment of driver's driving performance and alertness using EEG-based fuzzy neural networks., , , , and . ISCAS (1), page 152-155. IEEE, (2005)EEG-based fuzzy neural network estimator for driving performance., , , , and . SMC (4), page 4034-4040. IEEE, (2004)Driving Style Classification by Analyzing EEG Responses to Unexpected Obstacle Dodging Tasks., , , , , , and . SMC, page 4916-4919. IEEE, (2006)Development of Wireless Brain Computer Interface With Embedded Multitask Scheduling and its Application on Real-Time Driver's Drowsiness Detection and Warning., , , , , , , , and . IEEE Trans. Biomed. Engineering, 55 (5): 1582-1591 (2008)An EEG-Based Fatigue Detection and Mitigation System., , , , , , and . Int. J. Neural Syst., 26 (4): 1650018:1-1650018:14 (2016)Data flow analysis and testing for OWL-S semantic web service compositions., , and . IJCSE, 8 (4): 349-360 (2013)Mitigate B1+ inhomogeneity by nonlinear gradients and RF shimming., , , , , and . EMBC, page 1085-1088. IEEE, (2013)