PREDICTION OF MATERIAL WEAR BASED ON MACHINE LEARNING: A COMPARATIVE ANALYSIS OF ALGORITHMS
A comparative analysis of the effectiveness of various machine learning methods for predicting the wear of contacting parts in tribological systems identifies the most suitable machine learning techniques for specific operational conditions, providing valuable insights for the development of intelligent predictive main...