| Machine learning-based image processing for on-line defect recognition in additive manufacturing A Caggiano, J Zhang, V Alfieri, F Caiazzo, R Gao, R Teti CIRP annals 68 (1), 451-454, 2019 | 430 | 2019 |
| Composite materials parts manufacturing J Fleischer, R Teti, G Lanza, P Mativenga, HC Möhring, A Caggiano CIRP Annals 67 (2), 603-626, 2018 | 250 | 2018 |
| Laser direct metal deposition of 2024 Al alloy: trace geometry prediction via machine learning F Caiazzo, A Caggiano Materials 11 (3), 444, 2018 | 179 | 2018 |
| Cloud-based manufacturing process monitoring for smart diagnosis services A Caggiano International Journal of Computer Integrated Manufacturing 31 (7), 612-623, 2018 | 120 | 2018 |
| Machining of fibre reinforced plastic composite materials A Caggiano Materials 11 (3), 442, 2018 | 109 | 2018 |
| Tool wear prediction in Ti-6Al-4V machining through multiple sensor monitoring and PCA features pattern recognition A Caggiano Sensors 18 (3), 823, 2018 | 98 | 2018 |
| Process monitoring of machining R Teti, D Mourtzis, DM D'Addona, A Caggiano CIRP Annals 71 (2), 529-552, 2022 | 94 | 2022 |
| Intelligent cloud manufacturing platform for efficient resource sharing in smart manufacturing networks A Simeone, A Caggiano, L Boun, B Deng Procedia Cirp 79, 233-238, 2019 | 87 | 2019 |
| High performance cutting of fibre reinforced plastic composite materials V Lopresto, A Caggiano, R Teti Procedia CIRP 46, 71-82, 2016 | 87 | 2016 |
| CBN grinding performance improvement in aircraft engine components manufacture A Caggiano, R Teti Procedia CIRP 9, 109-114, 2013 | 77 | 2013 |
| Digital factory approach for flexible and efficient manufacturing systems in the aerospace industry A Caggiano, F Caiazzo, R Teti Procedia CIRP 37, 122-127, 2015 | 72 | 2015 |
| Cloud manufacturing framework for smart monitoring of machining A Caggiano, T Segreto, R Teti Procedia Cirp 55, 248-253, 2016 | 69 | 2016 |
| Digital factory technologies for robotic automation and enhanced manufacturing cell design A Caggiano, R Teti Cogent Engineering 5 (1), 1426676, 2018 | 62 | 2018 |
| Machine learning approach based on fractal analysis for optimal tool life exploitation in CFRP composite drilling for aeronautical assembly A Caggiano, X Rimpault, R Teti, M Balazinski, JF Chatelain, L Nele CIRP Annals 67 (1), 483-486, 2018 | 61 | 2018 |
| Smart multi-sensor monitoring in drilling of CFRP/CFRP composite material stacks for aerospace assembly applications R Teti, T Segreto, A Caggiano, L Nele Applied Sciences 10 (3), 758, 2020 | 57 | 2020 |
| Dimensionality reduction of sensorial features by principal component analysis for ANN machine learning in tool condition monitoring of CFRP drilling A Caggiano, R Angelone, F Napolitano, L Nele, R Teti Procedia CIRP 78, 307-312, 2018 | 55 | 2018 |
| Image analysis for CFRP drilled hole quality assessment A Caggiano, R Angelone, R Teti Procedia CIRP 62, 440-445, 2017 | 52 | 2017 |
| Multiple sensor monitoring in drilling of CFRP/CFRP stacks for cognitive tool wear prediction and product quality assessment A Caggiano, P Centobelli, L Nele, R Teti Procedia CIRP 62, 3-8, 2017 | 49 | 2017 |
| Influence of process parameters on kerf geometry and surface roughness in Nd: YAG laser cutting of Al 6061T6 alloy sheet C Leone, S Genna, A Caggiano, V Tagliaferri, R Molitierno The International Journal of Advanced Manufacturing Technology 87, 2745-2762, 2016 | 47 | 2016 |
| Intelligent decision-making support system for manufacturing solution recommendation in a cloud framework A Simeone, Y Zeng, A Caggiano The International Journal of Advanced Manufacturing Technology 112 (3), 1035 …, 2021 | 46 | 2021 |
