ABSTRACT: We present the complete methodology to propose an efficient electrothermal model of the Silicon Carbide (SiC) Metal Oxide Semiconductor Field Effect Transistor (MOSFET), largely used in high ...

Abstract: The quadratic polynomial regression model with L2 regularization is developed by combining the nonlinear fitting ability of polynomial regression and the regularization feature of ridge ...

ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...

This notebook predicts Hanoi Housing Price using Linear Regression, Polynomial Regression, Random Forest, and Neural Network (Traditional Statistical Methods vs. Machine Learning algorithms).

According to Energy Star, the average U.S. household spends over $900 per year on cooling and heating. A properly programmed thermostat can help you lower those energy costs and make setting the right ...

SAN JOSE, Calif.--(BUSINESS WIRE)--PACE Anti-Piracy, creator of the iLok and PACE Licensing Platform, announced today that it has become a member of the MathWorks Connections Program. MathWorks is the ...

In the late 19th century, English polymath Sir Francis Galton noted that tall parents often had kids shorter than they were, while short parents often ended up with taller kids. He dubbed this ...

To predict the number of upvotes each question would get in an online question and answer platform using exploratory data analysis and machine learning models.

Abstract: Polynomial regression model is very important in the modeling and characterization of sensors. The uncertainty propagation through the polynomial nonlinearity can only be estimated through ...

The mathematical software program MATLAB is a useful tool for calculating and/or collecting data and then plotting two-dimensional and three-dimensional graphs to display that data. MATLAB has many ...