Mohamed Noureldin 
- : Data‐driven model for seismic assessment, design, and retrofit of structures using explainable artificial intelligence. Dans: Computer-Aided Civil and Infrastructure Engineering.
- (2024): Explainable artificial intelligence framework for FRP composites design. Dans: Composite Structures, v. 341 (août 2024).
- (2023): Machine learning-based design of a seismic retrofit frame with spring-rotational friction dampers. Dans: Engineering Structures, v. 292 (octobre 2023).
- (2023): Explainable probabilistic deep learning framework for seismic assessment of structures using distribution‐free prediction intervals. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 12 (mai 2023).
- (2023): Machine learning-based seismic assessment of framed structures with soil-structure interaction. Dans: Frontiers of Structural and Civil Engineering, v. 17, n. 2 (février 2023).
- (2022): A machine learning procedure for seismic qualitative assessment and design of structures considering safety and serviceability. Dans: Journal of Building Engineering, v. 50 (juin 2022).
- (2022): Fragility-based framework for optimal damper placement in low-rise moment-frame buildings using machine learning and genetic algorithm. Dans: Journal of Building Engineering, v. 54 (août 2022).
- (2021): Performance-based seismic retrofit of RC structures using concentric braced frames equipped with friction dampers and disc springs. Dans: Engineering Structures, v. 243 (septembre 2021).
- (2021): Parameterized seismic life-cycle cost evaluation method for building structures. Dans: Structure and Infrastructure Engineering, v. 17, n. 3 (mars 2021).
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