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 ...

A new soil-moisture retrieval strategy has improved the accuracy of satellite-based moisture mapping by combining microwave reflection signals with vegetation-structure information that conventional ...

Per today's advance PR, the move is being framed as a dose of high-octane for Oni's upcoming summer slate that will include the upcoming launches of New York Times best-selling creator Matt Kindt's ...

This article shows a study of the level of reliability of welded and bolted connections in cold formed steel members, for some limiting states, adopted by AISI and Brazilian codes. The aim of this ...

This paper was prepared with the partial support of the U. S. Army Research Office (Durham), grant DA-ARO (D)-31-124-G83. Note: The article usage is presented with a three- to four-day delay and will ...

As such, investors for whom maximizing their income is not the highest priority or investors who are planning to hold their shares in a vehicle that does not boast any particular tax advantages may be ...

Amid efforts to address energy consumption in modern computing systems, one promising approach takes advantage of random networks of non-linear nanoscale junctions formed by nanoparticles as ...

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 ...

While this library is for now standalone, the goal is to get both the mathematical function as well as the distributions into torch core package. See also pytorch/pytorch#108948. The torchlambertw ...

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...