Abstract: This paper introduces the Arctan exponential distribution, a novel two-parameter trigonometric distribution. Various statistical properties of the distribution are examined, including hazard ...

Commonly, in Ordinary Differential Equations courses, equations with impulses or discontinuous forcing functions are studied. In this context, the Laplace Transform of the Dirac delta function and ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...

With IDR applications unfrozen, borrowers can again apply for plans to lower student loan payments. Here's what experts recommend for now. David McMillin writes about credit cards, mortgages, banking, ...

If you've ever been to a dinner party where at least one guest is a lawyer, you've heard the speech: Don't go to law school unless you really, really want to be a lawyer. They'll tell you about the ...

ABSTRACT: In order to introduce left and right truncated versions of the modified lognormal with a power-law distribution, we derive its probability density function, its distribution function, its ...

Artificial intelligence (AI) is transforming industries at an unprecedented pace, and Sintrones Electronics is capitalizing on emerging opportunities in vertical application markets. By redefining its ...

School of Pure and Applied Sciences, Mount Kenya University, Thika, Kenya. The Exponential distribution is a commonly used parametric model in survival analysis. It assumes that the time to event ...

The nonlinear exponential function, often represented as y = e^(mx + b), has a unique role to play in the realm of deep neural networks. While it might not be as widely used as other activation ...

This can be called something like MechanicsSingularityFunction. This function can then be used in mechanics applications. This function doesn't completely follow the defined rules for singularity ...