Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturingGiulio Mattera, Luigi Nele, Alessandra Caggiano|Journal of Intelligent Manufacturing|2024Cited by 60
Semi-supervised learning for real-time anomaly detection in pulsed transfer wire arc additive manufacturingGiulio Mattera, John Norrish, Joseph Polden et al.|Journal of Manufacturing Processes|2024Cited by 48
Smart Tool Wear Monitoring of CFRP/CFRP Stack Drilling Using Autoencoders and Memory-Based Neural NetworksAlessandra Caggiano, Luigi Nele, Giulio Mattera|Applied Sciences|2023Cited by 34
Reinforcement learning as data-driven optimization technique for GMAW processGiulio Mattera, Luigi Nele, Alessandra Caggiano|Welding in the World|2023Cited by 26
Energy Efficiency Optimisation in Wire arc Additive Manufacturing of Invar 36 Alloy via Intelligent Data-Driven TechniquesGiulio Mattera, Luigi Nele, Alessandra Caggiano|International Journal of Precision Engineering and Manufacturing-Green Technology|2025Cited by 25