| Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing DM D’Addona, AMMS Ullah, D Matarazzo Journal of Intelligent Manufacturing 28, 1285-1301, 2017 | 170 | 2017 |
| Neural networks tool condition monitoring in single-point dressing operations DM D’Addona, D Matarazzo, PR De Aguiar, EC Bianchi, CHR Martins Procedia CIRP 41, 431-436, 2016 | 50 | 2016 |
| Information support and interactive planning in the Digital Factory: Approach and industry-driven evaluation CL Constantinescu, E Francalanza, D Matarazzo, O Balkan Procedia CIRP 25, 269-275, 2014 | 41 | 2014 |
| Laser ablation of primer during the welding process of iron plate for shipbuilding industry DM D’Addona, S Genna, A Giordano, C Leone, D Matarazzo, L Nele Procedia Cirp 33, 464-469, 2015 | 35 | 2015 |
| Tool wear control through cognitive paradigms DM D’Addona, D Matarazzo, AMMS Ullah, R Teti Procedia CIRP 33, 221-226, 2015 | 30 | 2015 |
| Prediction of poly-methyl-methacrylate laser milling process characteristics based on neural networks and fuzzy data DM D’Addona, S Genna, C Leone, D Matarazzo Procedia Cirp 41, 981-986, 2016 | 28 | 2016 |
| Towards knowledge capturing and innovative human-system interface in an open-source factory modelling and simulation environment CL Constantinescu, E Francalanza, D Matarazzo Procedia CIRP 33, 23-28, 2015 | 26 | 2015 |
| Prediction of dressing in grinding operation via neural networks DM D’Addona, D Matarazzo, R Teti, PR De Aguiar, EC Bianchi, A Fornaro Procedia CIRP 62, 305-310, 2017 | 14 | 2017 |
| Modeling of system knowledge for efficient agile manufacturing: Tool evaluation, selection and implementation scenario in SMEs CL Constantinescu, D Matarazzo, D Dienes, E Francalanza, M Bayer Procedia CIRP 25, 246-252, 2014 | 14 | 2014 |
| A cognitive approach for laser milled PMMA surface characteristics forecasting C Leone, D Matarazzo, S Genna, DM D'Addona Optics & Laser Technology 113, 225-233, 2019 | 12 | 2019 |
| Inclusion scraps control in aerospace blades production through cognitive paradigms DM D’Addona, D Matarazzo, M Di Foggia, C Caramiello, S Iannuzzi Procedia CIRP 33, 321-326, 2015 | 7 | 2015 |
| Cognitive decision-making systems for scraps control in aerospace turbine blade casting D Matarazzo, DM D’Addona, C Caramiello, M Di Foggia, R Teti Procedia CIRP 41, 466-471, 2016 | 5 | 2016 |
| A Risk and Priority Model for Cost-Benefit Analysis and Work Scheduling within Predictive Maintenance Scenarios R Chianese, L Cicala, CV Angelino, F Gargiulo, D Matarazzo 2021 26th IEEE International Conference on Emerging Technologies and Factory …, 2021 | 2 | 2021 |
| Cognitive Paradigms for the Optimization of Advanced Manufacturing Processes D Matarazzo University of Naples Federico II, 2020 | | 2020 |
| Modeling of system knowledge for efficient agile manufacturing C Constantinescu, D Matarazzo, D Dienes, E Francalanza, M Bayer | | 2014 |
Doriana Marilena D'AddonaUniversity of Naples Federico II, Department of Chemical, Materials and Industrial ProductionBestätigte E-Mail-Adresse bei unina.it
