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Nehal Elshaboury ORCID

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

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

  2. Alfalah, Ghasan / Aldajani, Saad / Elshaboury, Nehal / Al-Sakkaf, Abobakr / Alshamrani, Othman (2024): Development of a Performance Assessment Model for Contractors in Saudi Arabian Construction Projects. Dans: Advances in Civil Engineering, v. 2024 (janvier 2024).

    https://doi.org/10.1155/2024/8780539

  3. 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. Dans: ce/papers, v. 6, n. 5 (septembre 2023).

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

  4. 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. Dans: ce/papers, v. 6, n. 5 (septembre 2023).

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

  5. Alfalah, Ghasan / Al Qahtani, Naif / Al-Sakkaf, Abobakr / Elshaboury, Nehal / Alshamrani, Othman: Assessing life cycle cost and environmental impact for office building construction in Saudi Arabia. Dans: Journal of Asian Architecture and Building Engineering.

    https://doi.org/10.1080/13467581.2023.2278461

  6. Ma, Shihui / Elshaboury, Nehal / Ali, Eslam / Zayed, Tarek (2024): Proactive exfiltration severity management in sewer networks: A hyperparameter optimization for two-tiered machine learning prediction. Dans: Tunnelling and Underground Space Technology, v. 144 (février 2024).

    https://doi.org/10.1016/j.tust.2023.105532

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

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

  8. Oke, Ayodeji Emmanuel / Kineber, Ahmed Farouk / Elshaboury, Nehal / Ekundayo, Damilola / Bello, Samuel Ariyo (2023): Exploring the Benefits of Virtual Reality Adoption for Successful Construction in a Developing Economy. Dans: Buildings, v. 13, n. 7 (28 juin 2023).

    https://doi.org/10.3390/buildings13071665

  9. 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. Dans: Construction Innovation.

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

  10. Elshaboury, Nehal / Attia, Tarek / Marzouk, Mohamed (2021): Reliability Assessment of Water Distribution Networks Using Minimum Cut Set Analysis. Dans: Journal of Infrastructure Systems, v. 27, n. 1 (mars 2021).

    https://doi.org/10.1061/(asce)is.1943-555x.0000594

  11. Elshaboury, Nehal / Marzouk, Mohamed (2021): Optimizing construction and demolition waste transportation for sustainable construction projects. Dans: Engineering, Construction and Architectural Management, v. 28, n. 9 (mars 2021).

    https://doi.org/10.1108/ecam-08-2020-0636

  12. Elshaboury, Nehal / Attia, Tarek / Marzouk, Mohamed (2020): Application of Evolutionary Optimization Algorithms for Rehabilitation of Water Distribution Networks. Dans: Journal of Construction Engineering and Management, v. 146, n. 7 (juillet 2020).

    https://doi.org/10.1061/(asce)co.1943-7862.0001856

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