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

A research team demonstrates that unmanned aerial vehicles (UAVs) equipped with multispectral sensors can rapidly and accurately estimate two key photosynthetic traits—the maximum carboxylation rate ...

NEW YORK – The cafe is tucked away on Mercer Street, an intimate escape just steps from bustling SoHo streets and storefronts displaying luxury fashion. The bar is stocked with wine and coffee, the ...

Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression ...

Background: Acute ST-segment elevation myocardial infarction (STEMI) is a cardiovascular emergency that is associated with a high risk of death. In this study, we developed explainable machine ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Institutional experience with pancreatic head versus body/tail cancer: A comparison of treatment outcomes. Preclinical study of safety and efficacy in vivo of a yttrium-90 resin microspheres glue ...

1 School of Mathematics and Statistics, Guilin University of Technology, Guilin, China. 2 Applied Statistics Institute, Guilin University of Technology, Guilin, China.. Current high-dimensional ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Adaptive Lasso is an extension of the standard Lasso method that provides improved feature selection properties through weighted L1 penalties. It assigns different weights to different coefficients in ...