Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in Precision Lens Manufacturing. World Journal of Engineering and Technology, ...

Abstract: This paper proposes a data-driven bidding algorithm for virtual power plants (VPPs) based on photovoltaic (PV) and wind energy sources to maximize revenue in the Korean electricity market, ...

ABSTRACT: The adoption of photovoltaic (PV) systems in modern electrical grids has expanded rapidly due to their economic and environmental benefits. However, these systems are prone to faults—such as ...

This project implements and evaluates various regression techniques including regularization and cross-validation for model selection in a real-world scenario. The study focuses on predicting ...

Abstract: This study focuses on the more efficient packaging reliability prediction by considering cluster analysis and regression algorithm simultaneously. The Wafer Level Chip Scale Packaging (WLCSP ...

Contains a simple "C" function -- polyfit() -- that fits a line or higher-order polynomial to a set of points, using Method of Least Squares regression. Design goals include simplicity and ease of ...

The Perceptron algorithm elegantly solves binary classification problems that have a margin between positive and negative examples. Isotonic regression (fitting an arbitrary increasing function in one ...