Generalised linear mixed models and ... In this regression analysis, latent classes will be treated as independent variables, while QoR-15 and satisfaction scores will serve as dependent variables. If ...
Abstract: The aim of this paper is to construct a model by both multiple linear regression and grey correlation analysis in order to improve the accuracy and depth of understanding of air quality ...
ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
When building a model rocket, it can be fun to get into the maths of it all—calculating the expected performance of your build, and then seeing how it measures up in the real world. To aid in that ...
This project uses historical BTC-USD data to predict the next day's logarithmic returns. The primary goal is to build and evaluate simple linear regression models (Linear, Ridge, Lasso) and ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this study, we aimed to develop a simpler and ...
Chemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-8320, United States ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...
Liver fibrosis is a progressive and potentially reversible condition that results from chronic liver damage, which can be caused by a variety of factors, including metabolic dysfunction-associated ...
The evaluation of sound quality is a significant area of research in audio and acoustics (Lyon, 2003). Traditional methods for assessing vehicle sound quality involve both subjective and objective ...
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