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Alessandro Sabato 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. Kulkarni, Nitin Nagesh / Sabato, Alessandro: Full-field expansion and damage detection from sparse measurements using physics-informed variational autoencoders. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241289575

  2. Dabetwar, Shweta / Padhye, Richa / Kulkarni, Nitin Nagesh / Niezrecki, Christopher / Sabato, Alessandro (2023): Performance evaluation of deep learning algorithms for heat loss damage classification in buildings from UAV-borne infrared images. In: Journal of Building Engineering, v. 75 (September 2023).

    https://doi.org/10.1016/j.jobe.2023.106948

  3. Kulkarni, Nitin Nagesh / Raisi, Koosha / Valente, Nicholas A. / Benoit, Jason / Yu, Tzuyang / Sabato, Alessandro (2023): Deep learning augmented infrared thermography for unmanned aerial vehicles structural health monitoring of roadways. In: Automation in Construction, v. 148 (April 2023).

    https://doi.org/10.1016/j.autcon.2023.104784

  4. Dabetwar, Shweta / Kulkarni, Nitin Nagesh / Angelosanti, Marco / Niezrecki, Christopher / Sabato, Alessandro (2022): Sensitivity analysis of unmanned aerial vehicle-borne 3D point cloud reconstruction from infrared images. In: Journal of Building Engineering, v. 58 (October 2022).

    https://doi.org/10.1016/j.jobe.2022.105070

  5. Puliti, Marco / Montaggioli, Giovanni / Sabato, Alessandro (2021): Automated subsurface defects' detection using point cloud reconstruction from infrared images. In: Automation in Construction, v. 129 (September 2021).

    https://doi.org/10.1016/j.autcon.2021.103829

  6. Reagan, Daniel / Sabato, Alessandro / Niezrecki, Christopher (2017): Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges. In: Structural Health Monitoring, v. 17, n. 5 (October 2017).

    https://doi.org/10.1177/1475921717735326

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