In this paper, we present the ambitions of the research project ARtificial Intelligence and STOchasTic simulation for the rEsiLience of critical infrastructurES (ARISTOTELES), funded by the Italian Ministry for Scientific Research (MIUR) under the PRIN 2022 program (grant 2022TAFXZ5) and by the European Union - Next Generation EU program. The aim is to share the objectives and preliminary results, for fostering further collaboration.

Artificial Intelligence and STOchasTic Simulation for the rEsiLience of Critical InfrastructurES (ARISTOTELES) / Di Maio, F., Pedroni, N., Taroni, M., Zio, E.. - ELETTRONICO. - (2024), pp. 482-486. (2024 8th International Conference on System Reliability and Safety (ICSRS) Catania (Italy) 20-22 November 2024) [10.1109/ICSRS63046.2024.10927422].

Artificial Intelligence and STOchasTic Simulation for the rEsiLience of Critical InfrastructurES (ARISTOTELES)

Di Maio F.;Pedroni N.;Zio E.
2024

Abstract

In this paper, we present the ambitions of the research project ARtificial Intelligence and STOchasTic simulation for the rEsiLience of critical infrastructurES (ARISTOTELES), funded by the Italian Ministry for Scientific Research (MIUR) under the PRIN 2022 program (grant 2022TAFXZ5) and by the European Union - Next Generation EU program. The aim is to share the objectives and preliminary results, for fostering further collaboration.
2024
979-8-3503-5451-5
File in questo prodotto:
File Dimensione Formato  
IEEE_ARISTOTELES_Published_2024.pdf

accesso riservato

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 2.11 MB
Formato Adobe PDF
2.11 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
rev_ARISTOTELES-ICSRS.pdf

accesso aperto

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Pubblico - Tutti i diritti riservati
Dimensione 524.54 kB
Formato Adobe PDF
524.54 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3010372