Ahmed Salih Mohammed
Orcid: 0000-0003-4306-3274
According to our database1,
Ahmed Salih Mohammed
authored at least 9 papers
between 2022 and 2024.
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Bibliography
2024
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.
Neural Comput. Appl., April, 2024
2023
Artificial neural networks (ANN), MARS, and adaptive network-based fuzzy inference system (ANFIS) to predict the stress at the failure of concrete with waste steel slag coarse aggregate replacement.
Neural Comput. Appl., June, 2023
Soft computing technics to predict the early-age compressive strength of flowable ordinary Portland cement.
Soft Comput., March, 2023
Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete.
Neural Comput. Appl., 2023
2022
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance.
Eng. Comput., 2022
A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm.
Eng. Comput., 2022
A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock.
Eng. Comput., 2022
Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential.
Eng. Comput., 2022
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models.
Earth Sci. Informatics, 2022