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Saúl Cano-Ortiz 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. Cano-Ortiz, Saúl / Lloret Iglesias, Lara / Martinez Ruiz del Árbol, Pablo / Lastra-González, Pedro / Castro-Fresno, Daniel (2024): An end-to-end computer vision system based on deep learning for pavement distress detection and quantification. In: Construction and Building Materials, v. 416 (February 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.135036

  2. Cano-Ortiz, Saúl / Lloret Iglesias, Lara / Martinez Ruiz del Árbol, Pablo / Castro-Fresno, Daniel (2024): Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance. In: Developments in the Built Environment, v. 17 (March 2024).

    https://doi.org/10.1016/j.dibe.2023.100315

  3. Cano-Ortiz, Saúl / Pascual-Muñoz, Pablo / Castro-Fresno, Daniel (2022): Machine learning algorithms for monitoring pavement performance. In: Automation in Construction, v. 139 (July 2022).

    https://doi.org/10.1016/j.autcon.2022.104309

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