Archivio Istituzionale della RicercaSfoglia per Autore D'AMATO, LEO
Mostrati risultati da 1 a 9 di 9
Self-organization for train re-scheduling and re-routing: a proof of concept
2023 D’Amato, Leo; Naldini, Federico; Tibaldo, Valentina; Trianni, Vito; Pellegrini, Paola
A consensus algorithm for decentralised real-time railway traffic management
2023 D’Amato, Leo; Trianni, Vito; Pellegrini, Paola
Deep-Learning-Based Onset Time Precision in Acoustic Emission Non-Destructive Testing
2024 Melchiorre, J.; D'Amato, L.; Agostini, F.; Manuello, A.
Acoustic emission onset time detection for structural monitoring with U-Net neural network architecture
2024 Melchiorre, Jonathan; D'Amato, Leo; Agostini, Federico; Rizzo, Antonino Maria
Neural representation in active inference: Using generative models to interact with—and understand—the lived world
2024 Pezzulo, Giovanni; D'Amato, Leo; Mannella, Francesco; Priorelli, Matteo; Van de Maele, Toon; Stoianov, Ivilin Peev; Friston, Karl
Towards self-organizing railway traffic management: concept and framework
2024 D'Amato, Leo; Naldini, Federico; Tibaldo, Valentina; Trianni, Vito; Pellegrini, Paola
Designing self-organizing railway traffic management
In corso di stampa D’Amato, Leo; Naldini, Federico; Tibaldo, Valentina; Trianni, Vito; Pellegrini, Paola
Designing self-organizing railway traffic management
In corso di stampa D’Amato, Leo; Naldini, Federico; Tibaldo, Valentina; Trianni, Vito; Pellegrini, Paola
Onset time detection of acoustic emission signals for structural monitoring with deep learning
In corso di stampa Melchiorre, Jonathan; Agostini, Federico; D'Amato, Leo; Rosso, MARCO MARTINO
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Self-organization for train re-scheduling and re-routing: a proof of concept / D’Amato, Leo; Naldini, Federico; Tibaldo, Valentina; Trianni, Vito; Pellegrini, Paola. - (2023). (Intervento presentato al convegno ROADEF 2023 - 24ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision tenutosi a Rennes (FRA) nel 20-23 février 2023). | 1-gen-2023 | Leo D’AmatoPaola Pellegrini + | conference_ROADEF_2023_rennes_WP3_sortedMobility.pdf |
| A consensus algorithm for decentralised real-time railway traffic management / D’Amato, Leo; Trianni, Vito; Pellegrini, Paola. - (2023). (Intervento presentato al convegno ODS2023: International Conference on Optimization and Decision Science tenutosi a Ischia nel 4-7 Settembre 2023). | 1-gen-2023 | Leo D’AmatoPaola Pellegrini + | ai4rails_abstract.doc |
| Deep-Learning-Based Onset Time Precision in Acoustic Emission Non-Destructive Testing / Melchiorre, J.; D'Amato, L.; Agostini, F.; Manuello, A.. - 2004:(2024), pp. 367-372. (Intervento presentato al convegno 2024 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2024 tenutosi a Chania (GRC) nel 12-14 June 2024) [10.1109/MetroLivEnv60384.2024.10615695]. | 1-gen-2024 | Melchiorre J.D'Amato L.Agostini F.Manuello A. | Metrolivenv2024_Deep_learning_based_onset_time_precision_in_acoustic_emission_non_destructive_testing (6).pdf; Deep-Learning-Based_Onset_Time_Precision_in_Acoustic_Emission_Non-Destructive_Testing.pdf |
| Acoustic emission onset time detection for structural monitoring with U-Net neural network architecture / Melchiorre, Jonathan; D'Amato, Leo; Agostini, Federico; Rizzo, Antonino Maria. - In: DEVELOPMENTS IN THE BUILT ENVIRONMENT. - ISSN 2666-1659. - ELETTRONICO. - 18:(2024), pp. 1-13. [10.1016/j.dibe.2024.100449] | 1-gen-2024 | Melchiorre, JonathanD'Amato, LeoAgostini, FedericoRizzo, Antonino Maria | Post-print version.pdf |
| Neural representation in active inference: Using generative models to interact with—and understand—the lived world / Pezzulo, Giovanni; D'Amato, Leo; Mannella, Francesco; Priorelli, Matteo; Van de Maele, Toon; Stoianov, Ivilin Peev; Friston, Karl. - In: ANNALS OF THE NEW YORK ACADEMY OF SCIENCES. - ISSN 0077-8923. - 1534:1(2024), pp. 45-68. [10.1111/nyas.15118] | 1-gen-2024 | D'Amato, Leo + | Annals of the New York Academy of Sciences - 2024 - Pezzulo - Neural representation in active inference Using generative.pdf |
| Towards self-organizing railway traffic management: concept and framework / D'Amato, Leo; Naldini, Federico; Tibaldo, Valentina; Trianni, Vito; Pellegrini, Paola. - In: JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT. - ISSN 2210-9706. - 29:(2024). [10.1016/j.jrtpm.2023.100427] | 1-gen-2024 | D'Amato, LeoPellegrini, Paola + | 1-s2.0-S2210970623000598-main.pdf |
| Designing self-organizing railway traffic management / D’Amato, Leo; Naldini, Federico; Tibaldo, Valentina; Trianni, Vito; Pellegrini, Paola. - (In corso di stampa). (Intervento presentato al convegno RailBelgrade 2023: The 10th International Conference on Railway Operations Modelling and Analysis (ICROMA) tenutosi a Belgrade (SRB) nel 25-28 Aprile 2023). | In corso di stampa | Leo D’AmatoPaola Pellegrini + | Designing self-organizing railway traffic management.pdf |
| Designing self-organizing railway traffic management / D’Amato, Leo; Naldini, Federico; Tibaldo, Valentina; Trianni, Vito; Pellegrini, Paola. - (In corso di stampa). | In corso di stampa | Leo D’AmatoPaola Pellegrini + | - |
| Onset time detection of acoustic emission signals for structural monitoring with deep learning / Melchiorre, Jonathan; Agostini, Federico; D'Amato, Leo; Rosso, MARCO MARTINO - In: Titolo volume non avvalorato[s.l] : Springer, In corso di stampa. | In corso di stampa | Jonathan MelchiorreFederico AgostiniLeo D'AmatoMarco Martino Rosso | WIRN_2023___Onset_Time_Detection_of_Acoustic_Emission_Signals_for_Structural_Monitoring_with_Deep_Learning__FULL_PAPER_.pdf |
Mostrati risultati da 1 a 9 di 9
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