… harmonic distortion of injected current during grid faults are the main defects. Additionally,
some benchmarks of these controllers are also provided to evaluate the control performances. …

… value of the correction ratio of the three shadow peaks, that is, the correction ratio of the
depth learning model trained in this study to the count loss derived from the distorted pulses, is …

… These motion data are included in multi-touch tracking decision, and it allows the sliding
window of each tracked trajectory to be estimated for reducing the tracking error at low sampling …

… would be easily reduced due to power system frequency deviation. Therefore, the model of
… of nonlinear harmonic currents is completed. Finally, the total harmonic current distortion after …

… background of artificial neural network. We will describe how does the artificial neural network
… Furthermore, to reduce the localization error, we increase the number of training data to …

… more choice of time and resources to help users make choices, and reduce network load and
improve … intrusion detection system model based on neural network-based expert system. …

… value of the correction ratio of the three shadow peaks, that is, the correction ratio of the
depth learning model trained in this study to the count loss derived from the distorted pulses, is …

… The two-tone intermodulation distortion and nonlinear harmonic characteristics are measured
and … Tazon, and JL Garcia, “Intermodulation distortion reduction with drain bias in parallel …

… used another network based on the Kelly-… harmonics into account. These learning algorithms
need recurrent computation for training the system so that the complexity cannot be reduced…

… A method to reduce the effect of DSC and non-uniform sampling rate is provided here. The
experiments on quantifying these textural features are listed in Chapter 5, and then is the …