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Aso Akram Abdalla
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Aso Akram Abdalla
Home
Publications
Teaching
Contact
More
Home
Publications
Teaching
Contact
Publication
Aso Akram Abdalla
Aso Akram Abdalla Salih
Publicaions
Advanced modeling for predicting compressive strength in fly ash-modified recycled aggregate concrete: XGboost, MEP, MARS, and ANN approaches
B Omer, DKI Jaf, A Abdalla, AS Mohammed, PI Abdulrahman, R Kurda, Innovative Infrastructure Solutions, 2024
Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar
AS Mohammed, AA Abdalla, R Kurda, WS Qadir, W Mahmood, K Ghafor, Journal of Materials in Civil Engineering, 2024 - Cited by 1
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
DKI Jaf, A Abdalla, AS Mohammed, PI Abdulrahman, R Kurda, AA Mohammed, Heliyon, 2024
Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles
HU Ahmed, AS Mohammed, RH Faraj, AA Abdalla, SMA Qaidi, NH Sor, AA Mohammed, Neural Computing and Applications, 2023 - Cited by 39
The efficiency of hybrid intelligent models to evaluate the effect of the size of sand and clay metakaolin content on various compressive strength ranges of cement mortar
AA Abdalla, AS Mohammed, Neural Computing and Applications, 2024
Soft computing techniques to estimate the uniaxial compressive strength of mortar incorporated with cement kiln dust
AS Mohammed, AA Abdalla, R Kurda, WS Qadir, W Mahmood, K Ghafor, Innovative Infrastructure Solutions, 2023
Prediction of the compressive strength of strain‐hardening cement‐based composites using soft computing models
PY Saleh, DKI Jaf, AA Abdalla, HU Ahmed, RH Faraj, W Mahmood, AS Mohammed, Structural Concrete, 2023 - Cited by 9
Advanced modeling for predicting compressive strength in fly ash-modified recycled aggregate concrete: XGboost, MEP, MARS, and ANN approaches
B Omer, DKI Jaf, A Abdalla, AS Mohammed, PI Abdulrahman, R Kurda, Innovative Infrastructure Solutions, 2024
Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar
AS Mohammed, AA Abdalla, R Kurda, WS Qadir, W Mahmood, K Ghafor, Journal of Materials in Civil Engineering, 2024 - Cited by 1
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
DKI Jaf, A Abdalla, AS Mohammed, PI Abdulrahman, R Kurda, AA Mohammed, Heliyon, 2024
Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles
HU Ahmed, AS Mohammed, RH Faraj, AA Abdalla, SMA Qaidi, NH Sor, AA Mohammed, Neural Computing and Applications, 2023 - Cited by 39
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