An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

By avoiding black box construction, and large numbers of variables, the FTSE Russell financial conditions indicators allow ...

Tony Breton and David Newman explore why the circular economy is so enticing, yet difficult to achieve, and ask if the sector ...

This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Please join the Department of International Health and Biostatics Center as they host the IMPROVE Maternal Health Data Innovation & Coordination Hub and the International Center for Maternal and ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Institute of Environmental Science and Engineering (IESE), School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan ...

This study predicts the characteristics of a compressible polytropic air spring model. A second-order nonlinear autonomous air spring model is presented. The proposed model is based on the assumption ...

Prior to PILOT, fitting linear model trees was slow and prone to overfitting, especially with large datasets. Traditional regression trees struggled to capture linear relationships effectively. Linear ...