AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...

Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...

hi thanks for the excellent work first! And could you please provide more details about how to get the PSFs, e.g. for a specific new sensor ?

onsemi has developed power semiconductors based on a vertical GaN (vGaN) architecture that improves efficiency, power density, and ruggedness. These GaN-on-GaN devices conduct current vertically ...

LONG BEACH, CA—Galorath Inc. has launched SEERai, a new agentic AI platform engineered to deliver secure, traceable and audit-ready cost, schedule and risk insights for manufacturing, aerospace, ...

Prostate-specific antigen (PSA) density is an easily available predictor for clinically significant PCa. While transrectal ultrasound (TRUS) is utilized for PSA density (PSAD) estimation, ...

ELSPES Inc. has announced the successful development of its next-generation highdensity silicon capacitor, now achieving capacitance densities up to 2,500 nF/mm². This ... Chiplets represent a ...

Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...

ABSTRACT: With technological advancements and increasing user demands, human action recognition plays a pivotal role in the field of human-computer interaction. Among various sensing devices, WiFi ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00129. Notes on the functional form of reorganization energy and ...