Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...

The 2026 FIFA World Cup will bring soccer fans from around the world to the streets of Atlanta as eight matches are set for Mercedes-Benz Stadium. Officials for the tournament, which runs from June 11 ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

This paper aims to construct a new transformed Weibull distribution model by mathematically transforming the Weibull distribution model. This model significantly enhances its applicability and ...

Abstract: In this paper, we propose a model of a parameter estimator filter for Black Box-type Stochastic Systems (BBSS), that is, only its inputs and outputs are known; considering its intrinsic ...

Azar has facilitated over 100 billion video chats with its app, which randomly connects strangers around the globe. But until recently, the Seoul-based app — which shares a parent company, Match, with ...

The electric power distribution system in the U.S. has over 55 million miles of power lines with over 180 million utility poles. Utility poles line our streetways, and highways and carry power 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 ...

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dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...