Railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelines. - Ruth Dirnfeld; Lorenzo De Donato; Francesco Flammini; Mehdi Saman Azari; Valeria Vittorini (EDCC Workshops, 2022)

A Vision of Intelligent Train Control. - Francesco Flammini; Lorenzo De Donato; Alessandro Fantechi; Valeria Vittorini (RSSRail, 2022)

A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance. - Lorenzo De Donato; Francesco Flammini; Stefano Marrone 002; Claudio Mazzariello; Roberto Nardone; Carlo Sansone; Valeria Vittorini (IEEE Access, 2022)

Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications. - Nikola Besinovic; Lorenzo De Donato; Francesco Flammini; Rob M. P. Goverde; Zhiyuan Lin 002; Ronghui Liu; Stefano Marrone 002; Roberto Nardone; Tianli Tang; Valeria Vittorini (IEEE Trans. Intell. Transp. Syst., 2022)

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 002; Vincenzo Moscato; Giancarlo Sperlì; Valeria Vittorini; Carlo Sansone (Ital-IA, 2023)

Intelligent detection of warning bells at level crossings through deep transfer learning for smarter railway maintenance. - Lorenzo De Donato; Stefano Marrone 002; Francesco Flammini; Carlo Sansone; Valeria Vittorini; Roberto Nardone; Claudio Mazzariello; Frédéric Bernaudin (Eng. Appl. Artif. Intell., 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 002; Mehdi Saman Azari; Valeria Vittorini (J. Reliab. Intell. Environ., 2023)

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 002; Francesco Flammini; Valeria Vittorini (Simul., 2024)