Muhammad Fawad

Forecasting the Strength Characteristics of Concrete incorporating Waste Foundry Sand using advance machine algorithms including deep learning

Nivin A. Ghamry, R. Nassar, jssRayed Alyousef, 2023, Case Studies in Construction Materials.

Estimating Compressive Strength of Concrete Containing Rice Husk Ash Using Interpretable Machine Learning-based Models

Hisham Alabduljabbar, R. Nassar, Majid Khan, 2024, Case Studies in Construction Materials.

Indirect prediction of graphene nanoplatelets-reinforced cementitious composites compressive strength by using machine learning approaches

Hisham Alabduljabbar, Taoufik Najeh, Furqan Farooq, 2024, Scientific reports.

Predicting the Properties of Concrete Incorporating Graphene Nano platelets by Experimental and Machine Learning Approaches

Rayed Alyousef, R. Nassar, Taoufik Najeh, 2024, Case Studies in Construction Materials.

Predictive Modeling for Depth of Wear of Concrete Modified with Fly Ash: A comparative Analysis of Genetic Programming-based Algorithms

Taoufik Najeh, Muhammad Shakeel, Majid Khan, 2023, Case Studies in Construction Materials.