In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
Abstract: This study explores the application of machine learning algorithms to predict abrasive wear based on the chemical composition and hardness of materials, validated through tests using ASTM ...
Abstract: Effective deployment and updating of machine learning models are crucial for maintaining operational efficiency in industrial environments. Model performance often degrades over time due to ...