AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
IEEE

Comparative Evaluation of XGBoost and Naive Bayes Algorithms for Accurate Diagnosis of Hemochromatosis

Abstract: Hemochromatosis is a hereditary disease that shows its presence by the accumulation of iron inside the human body tissues to such an extent that it might end up damaging the organs if not ...
Frontiers

Childhood chronic stress associated with abnormal brain white matter networks in first-episode, drug-naïve MDD adolescents: a machine learning study

Objectives: This study aims to identify the topological abnormalities of the brain white matter structural network in adolescents with first episode, drug-naïve major depressive disorder (MDD), and to ...
IEEE

Comparison of Naïve Bayes Algorithm and Support Vector Machine in Sentiment Analysis on Social Media X for KIP College Program

Abstract: The Indonesian government through the Smart Indonesia Program (PIP) for Higher Education supports underprivileged students, one of which is through the KIP College. This scholarship waives ...
Frontiers

State evaluation of zinc oxide arresters based on the initial probabilistic self-learning Bayes algorithm

State Grid Jiangsu Electric Power Co., Ltd., Yancheng Dafeng District Power Supply Branch, Yancheng, China Improving the accuracy of state evaluation for Zinc Oxide (ZnO) surge arresters is essential ...