Early-stage breast cancer detection is critical for improving diagnostic accuracy and treatment outcomes. This study presents a graphene-enhanced metasurface biosensor designed to provide 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 ...

When Donald Trump stormed into the White House in 2016, horrified Americans debated, almost endlessly, whether the shocking result was an expression of widespread racism (backlash to a Black president ...

Objectives: This study aimed to investigate the relationship between cumulative fluoroscopy dose and eye lens radiation dose among interventional radiologists, and to develop a predictive model to ...

This project explores how personal factors such as age, BMI, smoking status, and more influence medical insurance charges. Using regression models, I built, trained, and compared different approaches ...

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 ...

Contains a simple "C" function -- polyfit() -- that fits a line or higher-order polynomial to a set of points, using Method of Least Squares regression. Design goals include simplicity and ease of ...

Abstract: In this paper, we focus on the problem of polynomial regression with uncertain polynomial order and coefficients. For polynomial regression problem, a probabilistic graph model with ...