Nehal Elshaboury 
- : A hybrid spherical fuzzy AHP-MARCOS model for evaluating the condition of saltwater pipes in Hong Kong. In: Engineering, Construction and Architectural Management.
- (2024): Development of a Performance Assessment Model for Contractors in Saudi Arabian Construction Projects. In: Advances in Civil Engineering, v. 2024 (January 2024).
- (2023): Scrutinizing the Performances of Hybrid ANN Models for Forecasting Condition of Bridges. In: ce/papers, v. 6, n. 5 (September 2023).
- (2023): A Novel Chaotic Optimization‐Oriented Model for Bridge Maintenance and Rehabilitation Planning. In: ce/papers, v. 6, n. 5 (September 2023).
- : Assessing life cycle cost and environmental impact for office building construction in Saudi Arabia. In: Journal of Asian Architecture and Building Engineering.
- (2024): Proactive exfiltration severity management in sewer networks: A hyperparameter optimization for two-tiered machine learning prediction. In: Tunnelling and Underground Space Technology, v. 144 (February 2024).
- : Convolutional neural network-based deep learning model for air quality prediction in October city of Egypt. In: Construction Innovation.
- (2023): Exploring the Benefits of Virtual Reality Adoption for Successful Construction in a Developing Economy. In: Buildings, v. 13, n. 7 (28 June 2023).
- : A deep convolutional neural network for predicting electricity consumption at Grey Nuns building in Canada. In: Construction Innovation.
- (2021): Reliability Assessment of Water Distribution Networks Using Minimum Cut Set Analysis. In: Journal of Infrastructure Systems, v. 27, n. 1 (March 2021).
- (2021): Optimizing construction and demolition waste transportation for sustainable construction projects. In: Engineering, Construction and Architectural Management, v. 28, n. 9 (March 2021).
- (2020): Application of Evolutionary Optimization Algorithms for Rehabilitation of Water Distribution Networks. In: Journal of Construction Engineering and Management, v. 146, n. 7 (July 2020).
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