Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Abstract: Regression analysis is an important technique in data analysis field. Nowadays, diverse of regression models have been proposed. However, when dealing with different data sets, the selection ...

Objective: To investigate the risk factors associated with cognitive frailty among older adults in nursing homes using logistic regression and decision tree modeling, and to compare the predictive ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The melting point holds significant importance in the realm of ...

Have you ever found yourself staring at a spreadsheet, trying to make sense of all those numbers? Many face the challenge of transforming raw data into actionable insights, especially when it comes to ...

We conducted a comprehensive analysis of the burden, including prevalence, incidence, mortality, and disability-adjusted life year rates, for stroke across 204 countries and regions from 1990 to 2021 ...

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...

Abstract: Predictive Process Monitoring (PPM) techniques leverage incomplete execution traces and historical event logs to predict outcomes, activities, and remaining time in ongoing processes.