Payam Ismael Abdulrahman

Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete

Dilshad Kakasor Ismael Jaf, Payam Ismael Abdulrahman, Ahmed Salih Mohammed et al. · Construction and Building Materials · 2023 · 293 citations

Geotechnical Engineering, Engineering, Multi-scale Models +8

Effitioned soft computing models to evaluate the impact of silicon dioxide (SiO2) to calcium oxide (CaO) ratio in fly ash on the compressive strength of concrete

Dilshad Kakasor Ismael Jaf, Alan Saeed Abdulrahman, Payam Ismael Abdulrahman et al. · Journal of Building Engineering · 2023 · 52 citations

Cementation, Engineering, Civil Engineering +8

Advanced modeling for predicting compressive strength in fly ash-modified recycled aggregate concrete: XGboost, MEP, MARS, and ANN approaches

Brwa Omer, Dilshad Kakasor Ismael Jaf, Aso A. Abdalla et al. · Innovative Infrastructure Solutions · 2024 · 38 citations

Advanced Modeling, Engineering, Ann Approaches +8

Hybrid nonlinear regression model versus MARS, MEP, and ANN to evaluate the effect of the size and content of waste tire rubber on the compressive strength of concrete

Dilshad Kakasor Ismael Jaf, Aso A. Abdalla, Ahmed Salih Mohammed et al. · Heliyon · 2024 · 33 citations · Full text

Sustainable innovation in self-compacted concrete: Integrating by-products and waste rubber for green construction practices

Yarivan J. Zrar, Payam Ismael Abdulrahman, Aryan Far H. Sherwani et al. · Structures · 2024 · 23 citations

Waste Rubber, Engineering, Self-compacted Concrete +13