Sayed M. Eldin
- (2023): Predicting ultra-high-performance concrete compressive strength using gene expression programming method. In: Case Studies in Construction Materials, v. 18 (July 2023).
- (2023): Numerical aspects of phase field models for low-temperature fracture in asphalt mixtures. In: Case Studies in Construction Materials, v. 18 (July 2023).
- (2022): Application of gene expression programming to predict the compressive strength of quaternary-blended concrete. In: Asian Journal of Civil Engineering, v. 24, n. 5 (December 2022).
- (2023): Recent advances in expansive soil stabilization using admixtures: current challenges and opportunities. In: Case Studies in Construction Materials, v. 18 (July 2023).
- (2023): Forecasting compressive strength and electrical resistivity of graphite based nano-composites using novel artificial intelligence techniques. In: Case Studies in Construction Materials, v. 18 (July 2023).
- (2023): Modeling the capacity of engineered cementitious composites for self-healing using AI-based ensemble techniques. In: Case Studies in Construction Materials, v. 18 (July 2023).
- (2023): Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study. In: Case Studies in Construction Materials, v. 18 (July 2023).
- (2023): Plastic concrete mechanical properties prediction based on experimental data. In: Case Studies in Construction Materials, v. 18 (July 2023).
Structurae cooperates with
