- Second-order reliability analysis of an energy pile with CPT data. In: Journal of Building Engineering, v. 95 (October 2024). (2024):
- Soft computing-based reliability analysis of simply supported beam: a comparative study of hybrid ANN models. In: Asian Journal of Civil Engineering, v. 25, n. 4 (February 2024). (2024):
- Reliability analysis of portal frame subjected to varied lateral loads using machine learning. In: Asian Journal of Civil Engineering, v. 25, n. 2 (October 2023). (2023):
- Soft computing-based prediction models for compressive strength of concrete. In: Case Studies in Construction Materials, v. 19 (December 2023). (2023):
- (2023): Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes. In: Buildings, v. 13, n. 6 (23 May 2023).
- (2022): Reliability Analysis of Gravity Retaining Wall Using Hybrid ANFIS. In: Infrastructures, v. 7, n. 9 (September 2022).
- (2021): Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms. In: Infrastructures, v. 6, n. 9 (September 2021).
- Reliability analysis of reinforced soil slope stability using GA-ANFIS, RFC, and GMDH soft computing techniques. In: Case Studies in Construction Materials, v. 18 (July 2023). (2023):
- Stress intensity factor prediction on offshore pipelines using surrogate modeling techniques. In: Case Studies in Construction Materials, v. 16 (June 2022). (2022):
- Soft computing approaches towards tensile strength estimation of GFRP rebars subjected to alkaline-concrete environment. In: Case Studies in Construction Materials, v. 16 (June 2022). (2022):
- Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests. In: Construction and Building Materials, v. 303 (October 2021). (2021):
- Site Characterization Model Using Artificial Neural Network and Kriging. In: International Journal of Geomechanics, v. 10, n. 5 (October 2010). (2010):
- Use of the Relevance Vector Machine for Prediction of an Overconsolidation Ratio. In: International Journal of Geomechanics, v. 13, n. 1 (February 2013). (2013):
- Utilization of support vector machine for prediction of fracture parameters of concrete. In: Computers and Concrete, v. 9, n. 3 (March 2012). (2012):
- Seismic liquefaction potential assessment by using Relevance Vector Machine. In: Earthquake Engineering and Engineering Vibration, v. 6, n. 4 (December 2007). (2007):
- Soft Computing Applied to Rotation Capacity of Wide Flange Beams. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 42, n. 3 ( 2018). (2018):
- SPT-based liquefaction potential assessment by relevance vector machine approach. In: European Journal of Environmental and Civil Engineering, v. 17, n. 4 (April 2013). (2013):