Bilal Kamal Mohammed

Smart Predictive Modeling for Compressive Strength in Sisal-Fiber-Reinforced-Concrete Composites: Harnessing SVM, GP, and ANN Techniques

Soran Abdrahman Ahmad, Hemn Unis Ahmed, Serwan Khurshid Rafiq et al. · Multiscale Science and Engineering · 2024 · 24 citations

Natural Sciences, Materials Engineering, Materials Science +17

Sustainable Construction Analytics: Smart Modeling for Compressive Strength Prediction in Arabic Gum-Modified Mortar

Soran Abdrahman Ahmad, Hemn Unis Ahmed, Bilal Kamal Mohammed et al. · Materials Circular Economy · 2024 · 20 citations

Architecture, Civil Engineering, Materials Engineering +16

Soft Computing Modeling Including Artificial Neural Network, Non-linear, and Linear Regression Models to Predict the Compressive Strength of Sustainable Mortar Modified with Palm Oil Fuel Ash

Ferhad Rahim Karim, Serwan Khorsheed Rafiq, Soran Abdrahman Ahmad et al. · CONSTRUCTION · 2024 · 18 citations · Full text

Architecture, Materials Engineering, Materials Science +17

Different Statistical Modeling to Predict Compressive Strength of High-Strength Concrete Modified with Palm Oil Fuel Ash

Soran Abdrahman Ahmad, Bilal Kamal Mohammed, Serwan Rafiq et al. · Emerging technologies and engineering journal. · 2024 · 17 citations · Full text

Architecture, Materials Engineering, Materials Science +17

Machine Learning Model to Predict the Compressive Strength of Geopolymer Mortar Modified with Palm Oil Fuel Ash, Incorporating Linear, Nonlinear, and Artificial Neural Network (ANN) Approaches

Hersh F. Mahmood, Rozhnw Omer Mustafa, Bilal Kamal Mohammed et al. · Materials Circular Economy · 2025 · 14 citations

Engineering, Materials Engineering, Materials Science +10