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Eslam Mohammed Abdelkader

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Elshaboury, Nehal / Zayed, Tarek / Mohammed Abdelkader, Eslam: A hybrid spherical fuzzy AHP-MARCOS model for evaluating the condition of saltwater pipes in Hong Kong. In: Engineering, Construction and Architectural Management.

    https://doi.org/10.1108/ecam-08-2023-0777

  2. Elshaboury, Nehal / Ben Seghier, Mohamed El Amine / Mohammed Abdelkader, Eslam / Zayed, Tarek (2023): Scrutinizing the Performances of Hybrid ANN Models for Forecasting Condition of Bridges. In: ce/papers, v. 6, n. 5 (September 2023).

    https://doi.org/10.1002/cepa.2005

  3. Mohammed Abdelkader, Eslam / Ben Seghier, Mohamed El Amine / Elshaboury, Nehal / Zayed, Tarek (2023): A Novel Chaotic Optimization‐Oriented Model for Bridge Maintenance and Rehabilitation Planning. In: ce/papers, v. 6, n. 5 (September 2023).

    https://doi.org/10.1002/cepa.2006

  4. Xiong, Chenqin / Zayed, Tarek / Mohammed Abdelkader, Eslam (2024): A novel YOLOv8-GAM-Wise-IoU model for automated detection of bridge surface cracks. In: Construction and Building Materials, v. 414 (Februar 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.135025

  5. Faris, Nour / Zayed, Tarek / Mohammed Abdelkader, Eslam / Fares, Ali (2023): Corrosion assessment using ground penetrating radar in reinforced concrete structures: Influential factors and analysis methods. In: Automation in Construction, v. 156 (Dezember 2023).

    https://doi.org/10.1016/j.autcon.2023.105130

  6. Elshaboury, Nehal / Mohammed Abdelkader, Eslam / Al-Sakkaf, Abobakr: Convolutional neural network-based deep learning model for air quality prediction in October city of Egypt. In: Construction Innovation.

    https://doi.org/10.1108/ci-11-2022-0292

  7. Elshaboury, Nehal / Mohammed Abdelkader, Eslam / Al-Sakkaf, Abobakr / Bagchi, Ashutosh: A deep convolutional neural network for predicting electricity consumption at Grey Nuns building in Canada. In: Construction Innovation.

    https://doi.org/10.1108/ci-01-2023-0005

  8. Pooyan, Mahmood-Reza / Al-Sakkaf, Abobakr / Mohammed Abdelkader, Eslam / Zayed, Tarek / Gopakumar, Govind (2023): An Integrated Framework for Selecting the Optimum Project Delivery System in Post-conflict Construction Projects. In: International Journal of Civil Engineering, v. 21, n. 8 (April 2023).

    https://doi.org/10.1007/s40999-023-00837-1

  9. Nguyen Ngoc, Hoang / Mohammed Abdelkader, Eslam / Al-Sakkaf, Abobakr / Alfalah, Ghasan / Zayed, Tarek: A hybrid AHP-MAUT model for assessing competitiveness of construction companies: a case study of construction companies in Vietnam and Canada. In: Construction Innovation.

    https://doi.org/10.1108/ci-11-2022-0299

  10. Mohammed Abdelkader, Eslam / Moselhi, Osama / Marzouk, Mohamed / Zayed, Tarek (2022): An exponential chaotic differential evolution algorithm for optimizing bridge maintenance plans. In: Automation in Construction, v. 134 (Februar 2022).

    https://doi.org/10.1016/j.autcon.2021.104107

  11. Mohammed Abdelkader, Eslam / Moselhi, Osama / Marzouk, Mohamed / Zayed, Tarek (2021): Integrative Evolutionary-Based Method for Modeling and Optimizing Budget Assignment of Bridge Maintenance Priorities. In: Journal of Construction Engineering and Management, v. 147, n. 9 (September 2021).

    https://doi.org/10.1061/(asce)co.1943-7862.0002113

  12. Mohammed Abdelkader, Eslam / Moselhi, Osama / Marzouk, Mohamed / Zayed, Tarek (2021): Entropy-Based Automated Method for Detection and Assessment of Spalling Severities in Reinforced Concrete Bridges. In: Journal of Performance of Constructed Facilities (ASCE), v. 35, n. 1 (Februar 2021).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001544

  13. Mohammed Abdelkader, Eslam / Zayed, Tarek / Marzouk, Mohamed (2019): A computerized hybrid Bayesian-based approach for modelling the deterioration of concrete bridge decks. In: Structure and Infrastructure Engineering, v. 15, n. 9 (Mai 2019).

    https://doi.org/10.1080/15732479.2019.1619782

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