Abstract: The evolution of wireless communication technologies, from 2G to 5G, has continuously raised concerns about health risks from electromagnetic exposure. Accurate assessment of specific ...

This repository provides a brief introduction and Python implementations of various regression techniques applied to noisy and nonlinear time series data. The main objective is to evaluate the ...

I asked and answered a question about Regression in Stack Overflow. Here is a summary and question. I ran several regressions using pipeline and gridsearch. The winning regression was polynomial ridge ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic! Mary Trump issues warning on long-term impact of Donald Trump move I Built a 1500HP Big Block ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

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 ...

1 Department of Statistics, College of Arts and Science, University of Benghazi, Benghazi, Libya. 2 Department of Mathematics, College Arts and Science, University of Benghazi, Benghazi, Libya. 3 ...

Abstract: Multivariate polynomial optimization problems are ubiquitous in signal processing, machine learning, and artificial intelligence. Examples include, but are not limited to, blind source ...