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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, Ahmed Salih Mohammed, Payam Ismael Abdulrahman, Rawaz Kurda (2024). Advanced modeling for predicting compressive strength in fly ash-modified recycled aggregate concrete: XGboost, MEP, MARS, and ANN approaches. , 9(3), DOI: https://doi.org/10.1007/s41062-024-01365-0.
Article116 days agoHybrid 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, Payam Ismael Abdulrahman, Rawaz Kurda, Azad A. Mohammed (2024). 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. , 10(4), DOI: https://doi.org/10.1016/j.heliyon.2024.e25997.
Article116 days agoInnovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles
Hemn Unis Ahmed, Ahmed Salih Mohammed, Rabar H. Faraj, Aso A. Abdalla, Shaker Qaidi, Nadhim Hamah Sor, Azad A. Mohammed (2023). Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles. , 35(17), DOI: https://doi.org/10.1007/s00521-023-08378-3.
Article116 days agoExploring the potential of soft computing for predicting compressive strength and slump flow diameter in fly ash-modified self-compacting concrete
Brwa Omer, Dilshad Kakasor Ismael Jaf, Sirwan Khuthur Malla, Payam Ismael Abdulrahman, Ahmed Salih Mohammed, Rawaz Kurda, Aso A. Abdalla (2024). Exploring the potential of soft computing for predicting compressive strength and slump flow diameter in fly ash-modified self-compacting concrete. , 24(2), DOI: https://doi.org/10.1007/s43452-024-00910-z.
Article116 days agoInvestigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar
Ahmed Salih Mohammed, Aso A. Abdalla, Rawaz Kurda, Warzer Sarwar Qadir, Wael Mahmood, Kawan Ghafor (2023). Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar. , 36(3), DOI: https://doi.org/10.1061/jmcee7.mteng-16718.
Article116 days ago