Abstract: The linear power flow model based on an empirical operating point is generally employed in power generation dispatch. However, with the increasing penetration of renewable energy sources ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

Revolut’s PRAGMA (PRe-trained Banking Foundation Model) is a family of encoder-style models scaling from 10 million to 1 billion parameters. This is the largest published encoder backbone for consumer ...

The controller handles incoming requests and puts any data the client needs into a component called a model. When the controller's work is done, the model is passed to a view component for rendering.

Underwater radiated noise (URN) from vessels is an anthropogenic stressor that negatively affects marine ecosystems. Accordingly, the ability to estimate URN levels is a critical component for ...

Meta released an AI model on Wednesday called Muse Spark, which marks its “first step” toward an “overhaul of [its] AI efforts.” Muse Spark is the inaugural model to come out of Meta Superintelligence ...

In [Part 1](https://github.com/pw2/STAN-Blog-Tutorials/blob/main/STAN%20Part%201%20-%20Intro%20to%20STAN%20Code.Rmd) we laid the ground work for coding in `STAN` and ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

Abstract: This article investigates the effect of irrational behaviors on the expected convergence speed to the Nash equilibrium (NE) set within the log-linear learning (LLL) model. First, a ...

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...