Emma Salatiello

According to our database, Emma Salatiello authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Anomaly detection in manufacturing systems with temporal networks and unsupervised machine learning.

Giulio Mattera, Raffaele Mattera, Silvestro Vespoli, Emma Salatiello

Comput. Ind. Eng., 2025

Energy-Efficient Scheduling with Variable Speed a Deep Reinforcement Learning Approach.

Maria De Martino, Andrea Grassi, Maria Grazia Marchesano, Emma Salatiello, Silvestro Vespoli

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2025

Deep Reinforcement Learning for Preventive Maintenance Planning Under Stochastic Corrective Maintenance Dynamics.

Maria Grazia Marchesano, Gaetano Napoletano, Guido Guizzi, Emma Salatiello, Valentina Popolo

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2025

2024

Long-sighted dispatching rules for manufacturing scheduling problem in Industry 4.0 hybrid approach.

Emma Salatiello, Silvestro Vespoli, Guido Guizzi, Andrea Grassi

Comput. Ind. Eng., 2024

Optimizing Industrial Maintenance Scheduling Through Deep Reinforcement Learning and Simulation Integration.

Maria Grazia Marchesano, Guido Guizzi, Giuseppe Converso, Emma Salatiello, Valentina Popolo

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2024

2023

Supply Chain Optimization Through an Ontological Model: Overcoming Information Asymmetry.

Emma Salatiello, Mario Veniero, Guido Guizzi, Andrea Grassi

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2023

2022

A Deep Learning Approach for the Performance Estimation of a Stochastic CONWIP Flow-Shop System.

Silvestro Vespoli, Emma Salatiello, Andrea Grassi, Guido Guizzi, Liberatina Carmela Santillo

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2022