Researchers harness nonlinear Compton scattering to create sharper, multicolor gamma-ray beams

Researchers from Skoltech, MEPhI, and the Dukhov All-Russian Research Institute of Automation have proposed a new method to ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

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 ...
Engineering News-Record

Esri Bringing Gaussian Splats, More AI Into Its ArcGIS Mapping Tools

Esri executives showed the new XR capabilities in the ArcGIS XR Viewer to bring BIM and other data into one interactive map environment at the Esri User Conference in San Diego July 14. Mapping ...
Frontiers

Robustness of brain state identification in synthetic phase-coupled neurodynamics using Hidden Markov Models

Hidden Markov Models (HMMs) have emerged as a powerful tool for analyzing time series of neural activity. Gaussian HMMs and their time-resolved extension, Time-Delay Embedded HMMs (TDE-HMMs), have ...
Scientific Research Publishing

Multi-Task Gaussian Process for Imputing Missing Daily Rainfall Data Using Nearby Stations: Case of Burkina Faso ()

1 Ecole Polytechnique de Ouagadougou, Ouagadougou, Burkina Faso. 2 Agence National Meteorologie, Ouagadougou, Burkina Faso. Precipitation is a critical meteorological factor that significantly impacts ...
IEEE

Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions

Abstract: The multivariate generalized Gaussian distribution (MGGD), also known as the multivariate exponential power (MEP) distribution, is widely used in signal and image processing. However, ...