| Development of BIM software with quantity take-off and visualization capabilities F Ergen, ÖH Bettemir Journal of Construction Engineering, Management & Innovation 5 (1), 1-14, 2022 | 14 | 2022 |
| Investigation of optimized machine learning models with PSO for forecasting the shear capacity of steel fiber-reinforced SCC beams with/out stirrups F Ergen, M Katlav Journal of Building Engineering 83, 108455, 2024 | 12 | 2024 |
| Data-driven moment-carrying capacity prediction of hybrid beams consisting of UHPC-NSC using machine learning-based models M Katlav, F Ergen Structures 59, 105733, 2024 | 9 | 2024 |
| Investigating the applicability of deep learning and machine learning models in predicting the structural performance of V-shaped RC folded plates M Katlav, F Ergen, K Turk, P Turgut Materials Today Communications 38, 108141, 2024 | 5 | 2024 |
| Development of ontological algorithms for exact QTO of reinforced concrete construction items F Ergen, ÖH Bettemir Structures 60, 105907, 2024 | 4 | 2024 |
| Improved forecasting of the compressive strength of ultra‐high‐performance concrete (UHPC) via the CatBoost model optimized with different algorithms M Katlav, F Ergen Structural Concrete, 2024 | 3 | 2024 |
| Estimation of the shear strength of UHPC beams via interpretable deep learning models: Comparison of different optimization techniques F Ergen, M Katlav Materials Today Communications, 109394, 2024 | 2 | 2024 |
| Machine and deep learning-based prediction of flexural moment capacity of ultra-high performance concrete beams with/out steel fiber F Ergen, M Katlav Asian Journal of Civil Engineering, 1-22, 2024 | 2 | 2024 |
| Development of BIM-based prototype software for the accurate quantity take-off calculation of rough construction items F Ergen, ÖH Bettemir Gümüşhane University Journal of Science and Technology, 2023 | 2 | 2023 |
| Yüksek doğrulukta kaba inşaat kalemlerinin metrajını hesaplayan YBM tabanlı prototip yazılımın geliştirilmesi F Ergen, ÖH Bettemir Gümüşhane Üniversitesi Fen Bilimleri Dergisi 13 (1), 86-105, 2023 | 1 | 2023 |
| AI-driven design for the compressive strength of ultra-high performance geopolymer concrete (UHPGC): From explainable ensemble models to the graphical user interface M Katlav, F Ergen, I Donmez Materials Today Communications, 109915, 2024 | | 2024 |
Metin KatlavBitlis Eren University在 beu.edu.tr 的电子邮件经过验证
