Firas Daghistani

Evaluating the Influence of Sand Particle Morphology on Shear Strength: A Comparison of Experimental and Machine Learning Approaches

H. Abuel-Naga, Firas Daghistani, 2023, Applied Sciences.

Internal Friction Angle of Cohesionless Binary Mixture Sand–Granular Rubber Using Experimental Study and Machine Learning

Roohollah Shirani Faradonbeh, A. Baghbani, Firas Daghistani, 2023, Geosciences.

Shear strength characteristics of binary mixture sand-carpet fibre using experimental study and machine learning

A. Baghbani, Firas Daghistani, Hossam Abuel Naga, 2023, International Journal of Geotechnical Engineering.

Development of a Support Vector Machine (SVM) and a Classification and Regression Tree (CART) to Predict the Shear Strength of Sand-Rubber Mixtures

Susanga Costa, A. Baghbani, Firas Daghistani, 2022, 8th International Symposium for Geotechnical Safety & Risk (ISGSR 2022).

Predicting the strength of recycled glass powder-based geopolymers for improving mechanical behavior of clay soils using artificial intelligence

Firas Daghistani, Katayoon Kiany, Hasan Baghbani, 2023, Advanced Topics in Mechanics of Materials, Structures and Construction.