EurekAlert!

In a breakthrough for identifying emerging online communities, Stevens researchers use machine learning and social network theory to identify formation patterns in digital forums

HOBOKEN, NJ., March 26 — Researchers at Stevens Institute of Technology used machine learning tools and social network theory — the study of how people connect with each other—to better understand how ...
techxplore

Researchers use machine learning and social network theory to identify formation patterns in digital forums

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people connect with each other—to better understand how people interact online.
IEEE

Recent Advances in Optimal Transport for Machine Learning

Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...
IEEE

Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance

Abstract: High Entropy Alloys (HEAs) are widely recognized for their excellent microstructure and properties, enhancing their effectiveness in surface modification through coatings techniques. These ...