Lorenzo De Donato

According to our database, Lorenzo De Donato authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Integrating AI and DTs: challenges and opportunities in railway maintenance application and beyond.

Ruth Dirnfeld, Lorenzo De Donato, Alessandra Somma, Mehdi Saman Azari, Stefano Marrone, Francesco Flammini, Valeria Vittorini

Simul., 2024

2023

Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture.

Lorenzo De Donato, Ruth Dirnfeld, Alessandra Somma, Alessandra De Benedictis, Francesco Flammini, Stefano Marrone, Mehdi Saman Azari, Valeria Vittorini

J. Reliab. Intell. Environ., September, 2023

Intelligent detection of warning bells at level crossings through deep transfer learning for smarter railway maintenance.

Lorenzo De Donato, Stefano Marrone, Francesco Flammini, Carlo Sansone, Valeria Vittorini, Roberto Nardone, Claudio Mazzariello, Frédéric Bernaudin

Eng. Appl. Artif. Intell., 2023

Advanced AI-based approaches in Industry 4.0 of the University of Naples Federico II node of the CINI-AIIS Lab.

Lorenzo De Donato, Antonino Ferraro, Antonio Galli, Michela Gravina, Stefano Marrone, Vincenzo Moscato, Giancarlo Sperlì, Valeria Vittorini, Carlo Sansone

Proceedings of the Italia Intelligenza Artificiale, 2023

2022

Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications.

Nikola Besinovic, Lorenzo De Donato, Francesco Flammini, Rob M. P. Goverde, Zhiyuan Lin, Ronghui Liu, Stefano Marrone, Roberto Nardone, Tianli Tang, Valeria Vittorini

IEEE Trans. Intell. Transp. Syst., 2022

A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance.

Lorenzo De Donato, Francesco Flammini, Stefano Marrone, Claudio Mazzariello, Roberto Nardone, Carlo Sansone, Valeria Vittorini

IEEE Access, 2022

A Vision of Intelligent Train Control.

Francesco Flammini, Lorenzo De Donato, Alessandro Fantechi, Valeria Vittorini

Proceedings of the Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification, 2022

Railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelines.

Ruth Dirnfeld, Lorenzo De Donato, Francesco Flammini, Mehdi Saman Azari, Valeria Vittorini

Proceedings of the Dependable Computing - EDCC 2022 Workshops, 2022