- A comparison of novel hybrid ensemble learners to predict the compressive strength of green engineering materials: a case of concrete composed of rice husk ash. Dans: European Journal of Environmental and Civil Engineering. :
- (2024): Investigation of Subgrade Stabilization Life-Extending Benefits in Flexible Pavements Using a Non-Linear Mechanistic-Empirical Analysis. Dans: Infrastructures, v. 9, n. 2 (27 janvier 2024).
- Intelligent Prediction of Asphalt Concrete Air Voids during Service Life Using Cubist and GBRT-Ensemble Learning Approaches Hybridized with an Equilibrium Optimizer Algorithm. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 5 (mai 2024). (2024):
- Intelligent modelling of unconfined compressive strength of cement stabilised iron ore tailings: a case study of Golgohar mine. Dans: European Journal of Environmental and Civil Engineering, v. 28, n. 8 (décembre 2023). (2023):
- A novel hybrid adaptive boosting approach for evaluating properties of sustainable materials: A case of concrete containing waste foundry sand. Dans: Journal of Building Engineering, v. 72 (août 2023). (2023):
- Shear modulus prediction of landfill components using novel machine learners hybridized with forensic-based investigation optimization. Dans: Construction and Building Materials, v. 411 (janvier 2024). (2024):
- (2023): Soft Computing to Predict Earthquake-Induced Soil Liquefaction via CPT Results. Dans: Infrastructures, v. 8, n. 8 (31 juillet 2023).
- Prediction of the resilient modulus of non-cohesive subgrade soils and unbound subbase materials using a hybrid support vector machine method and colliding bodies optimization algorithm. Dans: Construction and Building Materials, v. 275 (mars 2021). (2021):
- AI-Based Formulation for Mechanical and Workability Properties of Eco-Friendly Concrete Made by Waste Foundry Sand. Dans: Journal of Materials in Civil Engineering (ASCE), v. 33, n. 4 (avril 2021). (2021):
- Application of computational intelligence and statistical approaches for auto-estimating the compressive strength of plastic concrete. Dans: European Journal of Environmental and Civil Engineering, v. 26, n. 8 (septembre 2020). (2020):
- Synthesis, characterization and evaluation of biochar from agricultural waste biomass for use in building materials. Dans: Construction and Building Materials, v. 181 (août 2018). (2018):
- The effect of cement and reclaimed asphalt pavement on the mechanical properties of stabilized base via full-depth reclamation. Dans: Construction and Building Materials, v. 161 (février 2018). (2018):
- (2017): Effect of SBS Polymer and Anti-stripping Agents on the Moisture Susceptibility of Hot and Warm Mix Asphalt Mixtures. Dans: Civil Engineering Journal, v. 3, n. 10 (novembre 2017).
- Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network and support vector machine. Dans: Frontiers of Structural and Civil Engineering, v. 13, n. 1 (février 2019). (2019):
- Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate adaptive regression spline. Dans: Frontiers of Structural and Civil Engineering, v. 13, n. 4 (août 2019). (2019):
- An experimental study on the effect of loading history parameters on the resilient modulus of conventional and SBS-modified asphalt mixes. Dans: Construction and Building Materials, v. 53 (février 2014). (2014):
- The compatibility of bentonite/sepiolite plastic concrete cut-off wall material. Dans: Construction and Building Materials, v. 124 (octobre 2016). (2016):
- Investigating different approaches for evaluation of fatigue performance of warm mix asphalt mixtures. Dans: Materials and Structures, v. 50, n. 2 (avril 2017). (2017):
- (2016): An Optimization Model for Design of Asphalt Pavements Based on IHAP Code Number 234. Dans: Advances in Civil Engineering, v. 2016 ( 2016).