News

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
IEEE

Dynamic Process Monitoring Using Total Multirate Linear Gaussian State Space Model

Abstract: Conventional data-driven dynamic process monitoring methods usually rely on data collected at a single sampling rate. The effectiveness of these approaches typically diminishes when ...
GitHub

UAV Flight Dynamics Simulator

⚠️ Some aerodynamic and inertial values are estimated or assumed based on academic literature, public data, or similar vehicles. Lateral-directional derivatives for 6DOF simulation are particularly ...
C&EN

Refining Air Pollution Exposure Estimates: A Comparison of Citywide and Neighborhood Land Use Regression Models in Toronto

Department of Civil & Mineral Engineering, University of Toronto, 35 St George Street, Toronto, Ontario M5S 1A4, Canada ...
IEEE

Tensor Decomposition-Based Relaxed Linear Regression for Hyperspectral Image Classification

Abstract: Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image ...