Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

The fact that a range of different approaches to marathon training can work illustrates another important point: we are all ...

This post features biographies and notable quotes from oral history interviews with planetary geophysicist Lynnae Quick, ...

Source: Pastoralists as inspiration in an age of uncertainty | zimbabweland You only have to look at the news each day to realise that we are living in an age of uncertainty. Whether it’s imposing ...

Computational fluid dynamics (CFD) is a branch of physics that utilizes numerical methods and algorithms to analyze and predict the behavior of fluids and gases under various conditions. This field ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...

Gregory, J.M. (2026) Alzheimer’s Disease: Modeling the Effect of Daily Steps . Journal of Behavioral and Brain Science, 16, ...

Abstract: The effective solution of system of nonlinear equations (SNEs) is crucial for the creation of engineering and scientific models. SNEs can be represented and analyzed as an optimization ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Abstract: In this article, we examine the linear and nonlinear features of the electron acoustic wave in nonthermal dissipative plasma comprising hot Cairns–Tsallis distributed electrons, inertial ...