Cross-validation shows an average sensitivity of 88.2% and specificity of 71.2%. The receiver operating characteristic (ROC) curves showed strong discrimination abilities in all cross-validation iterations (AUC=0.87). This study underscores TFO's promise for accurate detection of instantaneous fetal ...
The average rate isthe change in concentration over a selected period of time. It depends on when you take the measurements. The instantaneous rate is the rate at a particular time. It is determined by finding the slope of the tangent to the concentration vs time curve at that time. ...
To evaluate the discrimination ability of FFR and iFR for HRPC, ROC curves and AUC values were compared (Fig. 4). FFR showed a higher discrimination ability for the presence of ≥ 3 HRPC than iFR (AUC 0.703 vs. 0.648, respectively; P = 0.045). This difference was mainly driven...
3.3. Evaluation of Forecast Results In this study, the accuracy of the forecast is evaluated using the root mean square error (RMSE) of the maximum instantaneous wind speed as a function of forecast horizon and the ROC curve of the strong wind event. The root mean square error of the ...
Three notable improvements are implemented: replacement of numerical low-pass filter (LPF) with an average power detector to improve mitigation performance, removal of needless reactive element to reduce algorithm complexity and integration of phase tracking feature to eliminate the needs of PLL. Design...
The proposed fundamental real power identifier is given as: p(dc) = Paverage = 1 T T 0 p(dc) + p(ac) dt (15) where Paverage is the average value of p and T is the period of the signal. In this manner, the need of STF in extracting the dc components of load current is ...