Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

This demo showcases the "Learning and Inference on Probability Density Functions with Constrained GP based on Spherical HMC" method, which combines the advantages of constrained GP and the spherical ...

PCF is a MATLAB module for paper A new possibilistic-based clustering method for probability density functions and its application to detecting abnormal elements. The project was started in 2023 by ...

Abstract: In this paper, we consider a device-to-device-enabled cellular ultra dense network. We use stochastic geometry to model the deployment of base stations, and to locate the users. Users are ...

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...

In many experimental observation systems where the goal is to record a three-dimensional observation of an object, or a set of objects, a lower-dimensional projection of the intended subject is ...

Of interest is the spectral character of wind turbine noise at typical residential set-back distances. In this paper, a spectral statistical analysis has been applied to immission measurements ...

ABSTRACT: The evolution of ASE noise and the generation of nonlinear phase shift are analyzed based on the travelling wave solution of ASE noise and its probability density function by solving the ...