Giuseppina Ambrogio

Orcid: 0000-0002-0105-8541

According to our database1, Giuseppina Ambrogio authored at least 12 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Application of Two-Parameter Weibull Distribution for Predictive Maintenance: A Case Study.
Proceedings of the 6th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

A framework for LCA analysis of low TRL products: towards a sustainable approach in early development stages.
Proceedings of the 6th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

Industry 5.0 in Healthcare: An Integrated Framework for Human-Centered Prosthetics Design and Manufacturing.
Proceedings of the 6th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

2023
Tool Condition Monitoring for milling process using Convolutional Neural Networks.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Design of KPIs for evaluating the environmental impact of warehouse operations: a case study.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Numerical modeling of galvanic corrosion behaviour into simulated body fluid of hybrid joint.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2022
Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic.
Comput. Ind. Eng., 2022

A predictive approach for enhancing outcomes performance in SAW process.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), 2022

2020
LiSC Model: an innovative paradigm for Liquid Supply Chain.
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

2016
Heuristic techniques to optimize neural network architecture in manufacturing applications.
Neural Comput. Appl., 2016

2013
Design of an optimized procedure to predict opposite performances in porthole die extrusion.
Neural Comput. Appl., 2013

2010
A clustering approach for determining the optimal process parameters in cutting.
J. Intell. Manuf., 2010


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