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Giuseppina Ambrogio
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2020 – today
- 2024
- [c5]Stefania Ferrisi, Gabriele Zangara, David Rodríguez Izquierdo
, Danilo Lofaro, Rosita Guido, Domenico Conforti, Giuseppina Ambrogio:
Tool Condition Monitoring for milling process using Convolutional Neural Networks. ISM 2024: 1607-1616 - [c4]Carmine Borgia
Numerical modeling of galvanic corrosion behaviour into simulated body fluid of hybrid joint. ISM 2024: 2598-2605 - [c3]Antonio Cosma, Romina Conte, Vittorio Solina
Design of KPIs for evaluating the environmental impact of warehouse operations: a case study. ISM 2024: 2701-2708 - 2023
- [c2]Romina Conte, Gabriele Zangara, David Rodríguez Izquierdo
A predictive approach for enhancing outcomes performance in SAW process. ISM 2023: 1849-1856 - 2022
- [j4]Giuseppina Ambrogio, Luigino Filice, Francesco Longo, Antonio Padovano:
Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic. Comput. Ind. Eng. 169: 108158 (2022) - 2020
- [c1]Mariacarmela Passarelli, Giuseppina Ambrogio, Luigino Filice, Alfio Cariola, Vincenzo Straffalaci:
LiSC Model: an innovative paradigm for Liquid Supply Chain. ISM 2020: 893-902
2010 – 2019
- 2016
- [j3]Claudio Ciancio, Giuseppina Ambrogio
Heuristic techniques to optimize neural network architecture in manufacturing applications. Neural Comput. Appl. 27(7): 2001-2015 (2016) - 2013
- [j2]Giuseppina Ambrogio
Design of an optimized procedure to predict opposite performances in porthole die extrusion. Neural Comput. Appl. 23(1): 195-206 (2013) - 2010
- [j1]Domenico Umbrello
A clustering approach for determining the optimal process parameters in cutting. J. Intell. Manuf. 21(6): 787-795 (2010)
Coauthor Index
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