Objectives This study aims to explore the history of prior abortions and the factors influencing them among young women seeking abortion services in Foshan, Guangdong, China. Design This is a ...

This production-ready pipeline implements large-scale QSAR (Quantitative Structure-Activity Relationship) modeling to accelerate drug discovery for coronavirus proteases. Leveraging a dataset of ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Abstract: With the widespread adoption of Noninvasive Prenatal Testing (NIPT), selecting an appropriate testing time has become critical for improving test accuracy. This study proposes a personalized ...

Commonly used linear regression focuses only on the effect on the mean value of the dependent variable and may not be useful in situations where relationships across the distribution are of interest.

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks you through calculating the slope and intercept, predicting new values, and ...

FIFA said Wednesday that ticket prices for the 2026 World Cup will start at $60 for the cheapest group-stage seats and range to $6,730 for the most expensive tickets to the final – but all of that is ...

ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...

Abstract: Eco-driving has emerged as a promising approach to reducing fuel consumption in road vehicles by optimizing driving behavior for enhanced system efficiency. This paper formulates the ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's salary based on age, height, years of experience, and so on ...