The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple regression models in the prediction of lighting parameters and energy demand of ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Explore financial forecasting's importance in strategic decision-making, its methods, modern techniques, applications, and ...

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years.