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 ...

Researchers at Swinburne have developed a fast new way to check whether certain quantum computers, specifically Gaussian Boson Samplers, are actually producing the results they claim, without waiting ...

GeoWagdy is a Python desktop application (built with PySide2) designed to make exploring math more interactive. It allows users to input two functions of x, solve for their real intersections, and ...

Abstract: Non-linear filters consider probability density functions in various non-parametric representations. They often suffer from the curse of dimensionality. Computation of weights over a grid of ...

1 Department of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia 2 Department of Statistics, Addis Ababa University, Addis Ababa, Ethiopia The main purpose of this paper is to ...

If you’ve reached a career inflection point or you’re unhappy with your job or frustrated by managing a team, take a beat and ask yourself these questions. But just because it’s a skill necessary to ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

🟣 Cost Function interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

ABSTRACT: This paper presents a game theory-based method for predicting the outcomes of negotiation and group decision-making problems. We propose an extension to the BDM model to address problems ...