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1. Data-driven evolutionary programming for evaluating the mechanical properties of concrete containing plastic waste
2. Optimizing plastic waste inclusion in paver blocks: Balancing performance, environmental impact, and cost through LCA and economic analysis
3. Performance evaluation of concrete made with plastic waste using multi-expression programming
4. Predicting the mechanical properties of plastic concrete: An optimization method by using genetic programming and ensemble learners
5. Predictive Modeling and Experimental Validation for Assessing the Mechanical Properties of Cementitious Composites Made with Silica Fume and Ground Granulated Blast Furnace Slag
6. Toward sustainability: Integrating experimental study and data-driven modeling for eco-friendly paver blocks containing plastic waste
7. Life cycle impact assessment of recycled aggregate concrete, geopolymer concrete, and recycled aggregate-based geopolymer concrete
8. Soft computing models for prediction of bentonite plastic concrete strength
9. Evaluation of machine learning models for predicting TiO₂ photocatalytic degradation of air contaminants
10. Publisher Correction: Evaluation of machine learning models for predicting TiO2 photocatalytic degradation of air contaminants (Scientific Reports, (2024), 14, 1, (13688), 10.1038/s41598-024-64486-7)
11. Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest
12. Concrete by Preplaced Aggregate Method Using Silica Fume and Polypropylene Fibres
13. Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches
14. Indirect estimation of resilient modulus (M_r) of subgrade soil: Gene expression programming vs multi expression programming
15. Modeling of mechanical properties of silica fume-based green concrete using machine learning techniques
16. Predictive modeling of mechanical properties of silica fume-based green concrete using artificial intelligence approaches: MLPNN, ANFIS, and GEP
17. Experimental analysis and gene expression programming optimization of sustainable concrete containing mineral fillers
18. Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete
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