… We compare these methods with the traditional approach through … inverse current source
density methods (iCSD). We show that iCSD is a special case of kCSD. The proposed method …

… sources of measured potential, called current source density (CSD), which is the volume
density of … we present a nonparametric method for CSD estimation based on kernel techniques. …

… method of locating voltage fluctuation sources using voltage changes δV analysis. It has been
proposed to improve this method by using the kernel density … -based kernel density method…

… A fault diagnosis method based on current kernel density estimation for transistor open-…
The proposed method needs no extra sensors and it includes three steps: current kernel density …

… We compare these methods with the traditional approach through … inverse Current Source
Density methods (iCSD). We show that iCSD is a special case of kCSD. The proposed method …

… KERNEL DENSITY ESTIMATION In this section, we introduce the multivariate kernel density
estimation (MKDE) approach … estimate the probability density function of multidimensional …

… lists or generating synthetic sources have already been reported. In this work we present a
new approach by using the adaptive multivariate kernel density estimator (KDE) method. This …

… This paper presents a novel method based on Kernel Density Estimation (KDE) for modeling
intermittency and both diurnal and seasonal variations of wind and solar power generation …

… a method which combines the optimal kernel design specified in (7) with the iterative method
… The method proposed in this work is compared with Johnson's implementation for both …

… ABSTRACT A new AE location method using tri-variate kernel density estimator is …
kernel functions at each AE source coordinate are established. The tri-variate kernel density …