The University of Texas at Arlington

New AI tools help scientists track how diseases start

Dr. Wang, who also serves as the founding director for research in the Division of Data Science, is leading efforts to create ...

AI-powered oil spill prediction system can improve emergency response accuracy by up to 25%

Oil spills can be among the most devastating environmental disasters, with the potential to severely damage marine ecosystems ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

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

Money for Pain: How Much Does It Hurt?

Pain measurement drives painkiller development, yet "rate your pain 1-to-10" methods are notoriously unreliable. Our research shows money works better.
C&EN

Enhancement of Li-Ion Battery Cathode Performance via Bayesian and Genetic Algorithm Optimization: Experimental and Numerical Analysis

Department of Intelligent Energy and Industry, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea Department of Intelligent Energy and Industry, Chung-Ang University, 84 ...
IEEE

A reliability evaluation method of Numerical Control System based on Bayesian method

Abstract: A reliability evaluation method of Numerical Control System is put forward based on Bayesian theory in view of the feature that it has high reliability and high life. in the instance that ...
Purdue University

CDS Core Courses

To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. Computational Data Science (CDS) Core Courses are classified into five areas: Data Analytics and Visualization, Data ...