Artificial Intelligence and Machine Learning in the Thermal Spray Industry : Practices, Implementation, and Challenges (Paperback)

1. Artificial Intelligence in Thermal Spray Industry: Introduction and Benefits.  2. Unsupervised and Supervised Machine Learning Techniques in Wear Prediction.  3. Artificial Intelligence-Based Image Processing Techniques for Assessment of Patterns and Mechanisms in Thermal Spray.  4. Artificial Intelligence and Automation in Sustainable Development.  5. Role of Machine Learning Techniques in Coating Process Monitoring, Controlling, and Optimization.  6. Challenges of Using Artificial Intelligence in Thermal Spray Industry: Implementation, Optimization, and Control.  7. Neural Network Model for Wear Prediction of Coatings: Case Study.  8. Implementation of Regression Modes for Wear Analysis of Coating: Case Study.