- Machine Learning-Based Estimation of Reinforced Concrete Columns Stiffness Modifiers for Improved Accuracy in Linear Response History Analysis. Dans: Journal of Earthquake Engineering. :
- Investigating the Performance of Data-Driven Ensemble Machine Learning Models in Preliminary Designing Multi-Stage Friction Pendulum Bearings. Dans: Structural Engineering International. :
- A systematic and bibliometric review on physics-based neural networks applications as a solution for structural engineering partial differential equations. Dans: Structures, v. 69 (novembre 2024). (2024):
- Proposing unsupervised clustering-based earthquake records selection framework for computationally efficient nonlinear response history analysis of structures equipped with multi-stage friction pendulum bearings. Dans: Soil Dynamics and Earthquake Engineering, v. 182 (juillet 2024). (2024):
- Optimizing Gene Expression Programming to Predict Shear Capacity in Corrugated Web Steel Beams. Dans: Civil Engineering Journal, v. 10, n. 5 (1 mai 2024). (2024):
- Developing a framework for integrating blockchain technology into earthquake risk mitigation and disaster management strategies of smart cities. Dans: Smart and Sustainable Built Environment. :
- Identification of pulse-like ground motions using artificial neural network. Dans: Earthquake Engineering and Engineering Vibration, v. 21, n. 4 (octobre 2022). (2022):
- Influence of Isolator Properties and Earthquake Characteristics on the Seismic Behavior of RC Structure Equipped with Quintuple Friction Pendulum Bearings. Dans: International Journal of Structural Stability and Dynamics, v. 23, n. 6 (octobre 2022). (2022):
- Comparative study of base-isolated irregular RC structures subjected to pulse-like ground motions with low and high PGA/PGV ratios. Dans: Structures, v. 31 (juin 2021). (2021):
- Mechanical and dynamic properties of high strength concrete with well graded coarse and fine tire rubber. Dans: Construction and Building Materials, v. 246 (juin 2020). (2020):