Faruk Ergen

Investigation of optimized machine learning models with PSO for forecasting the shear capacity of steel fiber-reinforced SCC beams with/out stirrups

Faruk Ergen, Metin Katlav · Journal of Building Engineering · 2024 · 64 citations

Engineering, Computational Engineering, Materials Engineering +12

Improved forecasting of the compressive strength of ultra‐high‐performance concrete (<scp>UHPC</scp>) via the <scp>CatBoost</scp> model optimized with different algorithms

Metin Katlav, Faruk Ergen · Structural Concrete · 2024 · 57 citations · Full text

Business, Materials Engineering, Materials Science +17

Data-driven moment-carrying capacity prediction of hybrid beams consisting of UHPC-NSC using machine learning-based models

Metin Katlav, Faruk Ergen · Structures · 2023 · 44 citations

Engineering, Computational Engineering, Mechanical Engineering +12

AI-driven design for the compressive strength of ultra-high performance geopolymer concrete (UHPGC): From explainable ensemble models to the graphical user interface

Metin Katlav, Faruk Ergen, İzzeddin Dönmez · Materials Today Communications · 2024 · 36 citations

Architecture, Civil Engineering, Materials Engineering +17

Machine and deep learning-based prediction of flexural moment capacity of ultra-high performance concrete beams with/out steel fiber

Faruk Ergen, Metin Katlav · Asian Journal of Civil Engineering · 2024 · 32 citations

Engineering, Civil Engineering, Materials Engineering +17