Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...
Predicting performance: Teams now use machine learning to forecast player output, optimize substitutions, and even prevent injuries before they happen. Visual data advantage: Dashboards, heatmaps, and ...
Abstract: Due to various reasons, outliers, ambient noise and missing data inevitably exist in the industrial processes, and thus the robustness is important when establishing monitoring models. In ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...