Finally, the random undersampling boosted (RUSBoosted) trees-based classifier, which can mitigate the data sample imbalance issue, is utilized to identify the type of the detected event. The proposed approach is demonstrated using the actual measurement data of U.S. power systems from FNET/Grid...
New method: In this study, an effcient method for k-complex detection using electroencephalogram (EEG)-based multi-domain features extraction and selectionmethod coupled with a RUSBoosted treemodel is presented. EEGsignals are first decomposed using a tunable Q-factor wavelet t...