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Giulia Marasco ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Cronin, Liam / Sen, Debarshi / Marasco, Giulia / Matarazzo, Thomas / Pakzad, Shamim: Bridge monitoring using mobile sensing data with traditional system identification techniques. In: Computer-Aided Civil and Infrastructure Engineering.

    https://doi.org/10.1111/mice.13358

  2. Marasco, Giulia / Moldovan, Ionut / Figueiredo, Eloi / Chiaia, Bernardino (2024): Unsupervised transfer learning for structural health monitoring of urban pedestrian bridges. In: Journal of Civil Structural Health Monitoring, v. 14, n. 6 (April 2024).

    https://doi.org/10.1007/s13349-024-00786-w

  3. Marasco, Giulia / Oldani, Federico / Chiaia, Bernardino / Ventura, Giulio / Dominici, Fabrizio / Rossi, Claudio / Iacobini, Franco / Vecchi, Andrea (2024): Machine learning approach to the safety assessment of a prestressed concrete railway bridge. In: Structure and Infrastructure Engineering, v. 20, n. 4 (October 2024).

    https://doi.org/10.1080/15732479.2022.2119581

  4. Rosso, Marco Martino / Marasco, Giulia / Aiello, Salvatore / Aloisio, Angelo / Chiaia, Bernardino / Marano, Giuseppe Carlo (2023): Convolutional networks and transformers for intelligent road tunnel investigations. In: Computers & Structures, v. 275 (January 2023).

    https://doi.org/10.1016/j.compstruc.2022.106918

  5. Chiaia, Bernardino / Marasco, Giulia / Ventura, Giulio / Quirini, Cristina Zannini (2020): Customised active monitoring system for structural control and maintenance optimisation. In: Journal of Civil Structural Health Monitoring, v. 10, n. 2 (March 2020).

    https://doi.org/10.1007/s13349-020-00382-8

  6. Chiaia, Bernardino / Ventura, Giulio / Quirini, Cristina Zannini / Marasco, Giulia (2019): Bridge Active Monitoring for Maintenance and Structural Safety. Presented at: ARCH 2019, 9th International Conference on Arch Bridges, 2-4 October 2019, Porto, Portugal.

    https://doi.org/10.1007/978-3-030-29227-0_96

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