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

Performance of Classification Algorithms Under Class Imbalance: Simulation and Real-World Evidence

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
IEEE

A Performance Evaluation of A* and Dijkstra Algorithms with Visual-Based Goal Selection

Abstract: Successful operation of autonomous robots in complex environments require both reliable perception and efficient path planing. Reliable perception provide ...
Journal of Medical Internet Research

Predictive Performance of Artificial Intelligence Algorithms for Gestational Diabetes Mellitus in Pregnant Women: Systematic Review and Meta-Analysis

And meta-regression further revealed an evaluation in predictive accuracy in prospective study designs (regression coefficient=2.289, P=0.001). Conclusions: Unlike previous narrative reviews, this ...
Frontiers

Evaluation of the Classification Performance and Cost-effectiveness of Classification Criteria in Children with Systemic Lupus Erythematosus

The final, formatted version of the article will be published soon. Background: Childhood-onset systemic lupus erythematosus (cSLE) is a chronic autoimmune disease. In Latin America, the utility of ...
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 ...