A time course analysis of the strength based mirror effect



A comparative stationarity analysis of EEG signals
RASOULZADEH, VESAL; Erkuş, Ekin Can; Yoğurt, Taha Alper; Ulusoy, İlkay; Zergeroglu, S. Aykan (2017-11-01)
While developing models of brain functioning by using time series data, the stationary interval of the time series should be used to model the corresponding state of the brain. Here it is assumed that at the borders of stationarity, brain changes its state where a state is considered as a group of brain regions working together. If the whole nonstationary time series is used, many different brain states could be included in one model. However, it is very hard to decide the stationary intervals for such a co...
A Comparative Performance Analysis of Structured Neural Networks and Observers for CNC Feed Drive Disturbance Force Estimation
Dölen, Melik; Lorenz, Robert (null; 2001-11-07)
A detailed ensemble Monte Carlo study of the effect of quantum well width on quantum well infrared photodetector characteristics
Memiş, S.; Cellek, O.o.; Bostanci, U.; Tomak, Mehmet; Beşikci, Cengiz (2006-10-10)
We present a simulation based investigation of the dependence of the device characteristics on the quantum well width in AlGaAs/GaAs quantum well infrared photodetectors (QWIPs) through the ensemble Monte Carlo technique. The simulations on two different standard Al0.3Ga0.7As/GaAs QWIPs with quantum well widths of 36 and 44 Å have shown that the gain in the former is considerably higher, which is due to much longer lifetime of the photoexcited electrons as a result of lower capture probability in the device...
A Comparative Study on Feature Selection based Improvement of Medium-Term Demand Forecast Accuracy
Ilseven, Engin; Göl, Murat (2019-01-01)
Use of the proper demand forecasting method and data set is very important for reliable system operation and planning. In this study, we compare performances of various feature selection method forecasting algorithm pairs in terms of forecast accuracy for medium-term demand forecasting case. We utilize correlation, recursive feature elimination, random forest, multivariate adaptive regression splines (MARS), stepwise regression and genetic algorithms as feature selection methods. As for forecasting algorith...
A computational study of a close-coupled delta canard-wing-body configuration
Tuncer, İsmail Hakkı; Vandyken, Robert B (1996-06-20)
Subsonic flowfields over a close-coupled delta canard-wing-body configuration at high angles of attack from 20° to 30' are computed using the OVERFLOW Navier-Stokes solver. Computed flowfields are presented in terms of particle traces, surface streamlines and leeward-side surface pressure distributions for the canard on and off configurations. The interaction between the canard and the wing vortices, wing vortex breakdown and the influence of the canard on vortex breakdown are identified. It is computed tha...
Citation Formats
A. Kılıç Özhan, “A time course analysis of the strength based mirror effect,” 2013, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/80940.