Taoufik Najeh
- (2024): Predicting the properties of concrete incorporating graphene nano platelets by experimental and machine learning approaches. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2024): Forecasting maximum formwork pressure for self-compacting concrete using ARX-Laguerre machine learning model. Dans: Developments in the Built Environment, v. 18 (avril 2024).
- (2024): Comparing the efficacy of GEP and MEP algorithms in predicting concrete strength incorporating waste eggshell and waste glass powder. Dans: Developments in the Built Environment, v. 17 (mars 2024).
- (2024): Data-driven approaches for strength prediction of alkali-activated composites. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2024): Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2024): Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2024): Application of metaheuristic optimization algorithms in predicting the compressive strength of 3D-printed fiber-reinforced concrete. Dans: Developments in the Built Environment, v. 17 (mars 2024).
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