A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Abstract: Learning Markov blankets (MBs) plays an important role in many machine learning tasks, such as causal Bayesian network structure learning, feature selection, and domain adaptation. Since ...

Abstract: Software testing is a crucial activity during software development and fault prediction models assist practitioners herein by providing an upfront identification of faulty software code by ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...

For two decades, the telecommunications industry has operated on a familiar premise: Build the pipe, push the data and scale the infrastructure. My previous writings explored how the convergence of ...

Juneteenth is a day to celebrate with ribs and beer, as well as a day to look toward academic achievement, to include ...

Applied physics is the study of physics for a practical purpose, as opposed to physics motived solely for an improved fundamental understanding. This includes technological advances such as the ...

July 2, 2026 A major breakthrough in quantum technology has turned magnons, tiny magnetic waves once considered too short-lived for practical use, into promising carriers of quantum information.

Increasingly, farms are becoming monitoring environments in their own right, generating data from yield monitors, GPS-guided ...

In the midst of epidemics such as COVID-19, therapeutic candidates are unlikely to be able to complete the usual multiyear clinical trial and regulatory approval process within the course of an ...