Deep neural networks for defects detection in gas metal arc welding L Nele, G Mattera, M Vozza Applied Sciences 12 (7), 3615, 2022 | 19 | 2022 |
Monitoring and control the wire arc additive manufacturing process using artificial intelligence techniques: a review G Mattera, L Nele, D Paolella Journal of Intelligent Manufacturing 35 (2), 467-497, 2024 | 16 | 2024 |
Shrinkage estimation with reinforcement learning of large variance matrices for portfolio selection G Mattera, R Mattera Intelligent Systems with Applications 17, 200181, 2023 | 4 | 2023 |
Smart tool wear monitoring of CFRP/CFRP stack drilling using autoencoders and memory-based neural networks A Caggiano, G Mattera, L Nele Applied Sciences 13 (5), 3307, 2023 | 3 | 2023 |
Anomaly detection of Wire Arc Additively Manufactured parts via Surface Tension Transfer through unsupervised machine learning techniques G Mattera, J Polden, A Caggiano, P Commins, L Nele, Z Pan 17th CIRP Conference on Intelligent Computation in Manufacturing Industry, 2023 | 3 | 2023 |
Reinforcement learning as data-driven optimization technique for GMAW process G Mattera, A Caggiano, L Nele Welding in the World 68 (4), 805-817, 2024 | 2 | 2024 |
Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing G Mattera, A Caggiano, L Nele Journal of Intelligent Manufacturing, 1-20, 2024 | 1 | 2024 |
A Time-Frequency domain features extraction approach enhanced by computer vision for Wire Arc Additive Manufacturing monitoring using Fourier and Wavelet transform G Mattera, J Polden, L Nele Journal of Advanced Manufacturing Systems, 2024 | | 2024 |
Defect monitoring in wire arc additive manufacturing using frequency domain analysis G Mattera, J Polden, A Caggiano, S Van Duin, L Nele, Z Pan Materials Research Proceedings - ESAFORM 2024 41, 50-59, 2024 | | 2024 |
Development of an intelligent framework for online inspection and control of Wire Arc Additive Manufacturing G Mattera | | |