Ahmed Salih Mohammed

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Top Venues

Neural Comput. Appl.

Earth Sci. Informatics

Publications

Aso A. Abdalla, Ahmed Salih Mohammed
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. 36 (11) (2024)
Hunar Farid Hama Ali, Bashdar Omer, Ahmed Salih Mohammed, Rabar H. Faraj
Predicting the maximum dry density and optimum moisture content from soil index properties using efficient soft computing techniques. Neural Comput. Appl. 36 (19) (2024)
Nzar Shakr Piro, Ahmed Salih Mohammed, Samir M. Hamad, Rawaz Kurda
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. 35 (18) (2023)
Hemn Unis Ahmed, Reham R. Mostafa, Ahmed Salih Mohammed, Parveen Sihag, Azad Qadir
Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete. Neural Comput. Appl. 35 (3) (2023)
Wael Mahmood, Ahmed Salih Mohammed, Panagiotis G. Asteris, Hawreen Ahmed
Soft computing technics to predict the early-age compressive strength of flowable ordinary Portland cement. Soft Comput. 27 (6) (2023)
Jie Zeng, Bishwajit Roy, Deepak Kumar, Ahmed Salih Mohammed, Danial Jahed Armaghani, Jian Zhou, Edy Tonnizam Mohamad
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance. Eng. Comput. 38 (5) (2022)
Mahdi Hasanipanah, Mehdi Jamei, Ahmed Salih Mohammed, Menad Nait Amar, Hocine Ouaer, Khaled Mohamed Khedher
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models. Earth Sci. Informatics 15 (3) (2022)
Mingxiang Cai, Hocine Ouaer, Ahmed Salih Mohammed, Xiaoling Chen, Menad Nait Amar, Mahdi Hasanipanah
Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential. Eng. Comput. 38 (4) (2022)
Jiandong Huang, Panagiotis G. Asteris, Siavash Manafi Khajeh Pasha, Ahmed Salih Mohammed, Mahdi Hasanipanah
A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm. Eng. Comput. 38 (3) (2022)
Jing Cao, Juncheng Gao, Hima Nikafshan Rad, Ahmed Salih Mohammed, Mahdi Hasanipanah, Jian Zhou
A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock. Eng. Comput. 38 (5) (2022)