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La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Dinh, Kien / Zayed, Tarek / Moufti, Sami / Shami, Ahmad / Jabri, Ahmad / Abouhamad, Mona / Dawood, Thikra (2015): Clustering-Based Threshold Model for Condition Assessment of Concrete Bridge Decks with Ground-Penetrating Radar. Dans: Transportation Research Record: Journal of the Transportation Research Board, v. 2522, n. 1 (janvier 2015).

    https://doi.org/10.3141/2522-08

  2. AlSharqawi, Mohammed / Dawood, Thikra / Abdelkhalek, Sherif / Abouhamad, Mona / Zayed, Tarek (2022): Condition assessment of concrete-made structures using ground penetrating radar. Dans: Automation in Construction, v. 144 (décembre 2022).

    https://doi.org/10.1016/j.autcon.2022.104627

  3. Dawood, Thikra / Elwakil, Emad / Zayed, Tarek / Zhu, Zhenhua (2022): Data fusion of multiple machine intelligent systems for the condition assessment of subway structures. Dans: Tunnelling and Underground Space Technology, v. 126 (août 2022).

    https://doi.org/10.1016/j.tust.2022.104512

  4. Dawood, Thikra / Elwakil, Emad / Novoa, Hector Mayol / Gárate Delgado, José Fernando (2021): Ensemble intelligent systems for predicting water network condition index. Dans: Sustainable Cities and Society, v. 73 (octobre 2021).

    https://doi.org/10.1016/j.scs.2021.103104

  5. Dawood, Thikra / Elwakil, Emad / Novoa, Hector Mayol / Gárate Delgado, José Fernando (2020): Artificial intelligence for the modeling of water pipes deterioration mechanisms. Dans: Automation in Construction, v. 120 (décembre 2020).

    https://doi.org/10.1016/j.autcon.2020.103398

  6. Dawood, Thikra / Zhu, Zhenhua / Zayed, Tarek (2020): Deterioration mapping in subway infrastructure using sensory data of GPR. Dans: Tunnelling and Underground Space Technology, v. 103 (septembre 2020).

    https://doi.org/10.1016/j.tust.2020.103487

  7. Dawood, Thikra / Elwakil, Emad / Novoa, Hector Mayol / Gárate Delgado, José Fernando (2020): Water Pipe Failure Prediction and Risk Models: State-of-the-Art Review. Dans: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 47, n. 10 (octobre 2020).

    https://doi.org/10.1139/cjce-2019-0481

  8. Dawood, Thikra / Zhu, Zhenhua / Zayed, Tarek (2018): Computer Vision–Based Model for Moisture Marks Detection and Recognition in Subway Networks. Dans: Journal of Computing in Civil Engineering, v. 32, n. 2 (mars 2018).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000728

  9. Abouhamad, Mona / Dawood, Thikra / Jabri, Ahmad / AlSharqawi, Mohammed / Zayed, Tarek (2017): Corrosiveness mapping of bridge decks using image-based analysis of GPR data. Dans: Automation in Construction, v. 80 (août 2017).

    https://doi.org/10.1016/j.autcon.2017.03.004

  10. Dawood, Thikra / Zhu, Zhenhua / Zayed, Tarek (2017): Machine vision-based model for spalling detection and quantification in subway networks. Dans: Automation in Construction, v. 81 (septembre 2017).

    https://doi.org/10.1016/j.autcon.2017.06.008

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