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Scientific Research Publishing

Machine Learning for Financial Risk Management: Modeling Time-Varying Factor Sensitivities Using Factor Variational Autoencoders ()

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.
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

Online Converter-Level Temperature Estimation for IGBTs Using Proportional Calibration Method

Abstract: In this letter, we propose a novel online converter-level junction temperature T j evaluation method for insulated gate bipolar transistors (IGBTs) based on the common power loop parasitic ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
GitHub

Hall-Effect-Sensor-CAD-Mouse-Spacemouse A 6 degrees of freedom mouse for CAD programs using cheap linear Hall Effect sensors for position measurement

This started as a thought project based on the Teaching Tech $20 CAD mouse code. This code works with the 3D ConneXions device driver so any program that works with the 3D connexions Spacemouse will ...
IEEE

Parameter Estimation of Multiple Linear Frequency Modulation Signals Sensed by Nyquist Folding Receiver Using Periodic Linear Frequency Modulation Local Oscillator

Abstract: The Nyquist folding receiver (NYFR) is a new ultra-wideband (UWB) sensing structure that can sense signals in an UWB space. Since linear frequency modulation (LFM) signal is widely used in ...
C&EN

A Bottom-Up Approach Integrating Computer Vision with Material Flow Analysis to Estimate the Recycling Potential of Distributed Solar Panels Using Satellite Imagery

The rapid deployment of solar photovoltaic (PV) systems has created a growing challenge in managing end-of-life panels. While many studies project future recycling potential, they are often limited by ...