- Soft computing-based reliability analysis of simply supported beam: a comparative study of hybrid ANN models. Dans: Asian Journal of Civil Engineering, v. 25, n. 4 (février 2024). (2024):
- Soft computing-based prediction models for compressive strength of concrete. Dans: Case Studies in Construction Materials, v. 19 (décembre 2023). (2023):
- (2023): Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes. Dans: Buildings, v. 13, n. 6 (23 mai 2023).
- Stress intensity factor prediction on offshore pipelines using surrogate modeling techniques. Dans: Case Studies in Construction Materials, v. 16 (juin 2022). (2022):
- Soft computing approaches towards tensile strength estimation of GFRP rebars subjected to alkaline-concrete environment. Dans: Case Studies in Construction Materials, v. 16 (juin 2022). (2022):
- Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests. Dans: Construction and Building Materials, v. 303 (octobre 2021). (2021):
- Site Characterization Model Using Artificial Neural Network and Kriging. Dans: International Journal of Geomechanics, v. 10, n. 5 (octobre 2010). (2010):
- Use of the Relevance Vector Machine for Prediction of an Overconsolidation Ratio. Dans: International Journal of Geomechanics, v. 13, n. 1 (février 2013). (2013):
- Utilization of support vector machine for prediction of fracture parameters of concrete. Dans: Computers and Concrete, v. 9, n. 3 (mars 2012). (2012):
- Seismic liquefaction potential assessment by using Relevance Vector Machine. Dans: Earthquake Engineering and Engineering Vibration, v. 6, n. 4 (décembre 2007). (2007):
- Soft Computing Applied to Rotation Capacity of Wide Flange Beams. Dans: 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. Dans: European Journal of Environmental and Civil Engineering, v. 17, n. 4 (avril 2013). (2013):