Robust 'Huber mean' for geometric data protects against noise and outliers

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...
EurekAlert!

Pusan National University scientists develop robust “Huber mean” for geometric data

In many modern sciences, data often exist on curved geometric spaces rather than flat planes, posing challenges for ...
IEEE

ZNN With Fuzzy Adaptive Activation Functions and Its Application to Time-Varying Linear Matrix Equation

Abstract: In order to improve the effect of the Exp-Sign activation function (ESAF) and the Sinh-Sign activation function (SSAF) on the convergence and robustness of the zeroing neural network (ZNN) ...
Quanta Magazine

Shark Data Suggests Animals Scale Like Geometric Objects

It’s a universal fact that as any 3D object, from a Platonic sphere to a cell to an elephant, grows outward in all directions, its total surface area will increase more slowly than the space it ...
IEEE

Spinor Formulation of the Landau–Lifshitz–Gilbert Equation With Geometric Algebra

Abstract: The Landau–Lifshitz–Gilbert (LLG) equation for magnetization dynamics is recast into spinor form using the real-valued Clifford algebra (geometric algebra) of three-space. We show how the ...