The secret to how steel hardens and shape-memory alloys snap into place lies in rapid, atomic-scale shifts that scientists ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Different methods exist for deriving a 3D linear transformation, including vector algebra, geometric algebra, and matrix algebra (Artin, 1991; Hestenes, 1986, Foley et al., 2002). In this paper, we ...

Ribaucour transformations are applied as a method of obtaining linear Weingarten surfaces contained in Euclidean space, from a given such surface. Examples are included for minimal surfaces, constant ...

In this paper, the mathematical modeling of semicircular linear motor is carried out from the viewpoint of Lorentz force and magnetic flux density derived by vector potential. By comparing calculated, ...

Numerous vector-based data sets can now be converted into AIXM format in just a few seconds. This provides a significant advantage in the aviation industry by facilitating rapid decision-making for ...