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

Comparing Traditional Computer Vision Algorithms and Deep Convolutional Neural Networks as Self Driving Algorithms for Use in Dynamic Conditions

Abstract: This research develops, compares, and analyzes both a traditional algorithm using computer vision and a deep learning model to deal with dynamic road conditions. In the final testing, the ...
IEEE

Intelligent Tutoring System for English Language Acquisition Based on Computer Algorithms

Abstract: With the continuous deepening of computer application, computer-assisted instruction (CAI) has made remarkable progress in foreign language learning. Foreign language learning mainly relies ...
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 ...