Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

A Python-based quadratic nonlinear regression model for estimating hand-to-camera distance from 2D images.

Accurate estimation of two-dimensional (2D) multi-obstacle steady-state flows is crucial in various scientific and engineering disciplines, yet conventional methods often fall short in precision and ...

For image regions whose intensities are neither locally maximum nor minimum, neighborhood flooding is applied to convert 2D interpolation problem into 1D interpolation, for local maxima/minima (LMM) ...